Introduction
In an era where risks evolve by the hour and compliance expectations become increasingly complex, organizations can no longer rely solely on periodic audits or manual reviews to maintain security. Continuous Control Monitoring (CCM) has emerged as a proactive approach that keeps a constant pulse on an organization’s control environment—detecting issues in real time, minimizing human error, and improving operational resilience. It shifts governance from hindsight to foresight, enabling leaders to make decisions backed by live data rather than delayed reports. Integrating monitoring into daily operations creates a rhythm of accountability and responsiveness across teams. In a landscape defined by speed and scrutiny, CCM ensures control assurance evolves at the same pace as business itself. Per the GAO's 2025 Green Book, Principle 16, management is required to establish ongoing monitoring that catches control issues as they develop, rather than relying solely on periodic, after-the-fact evaluations.
Continuous control monitoring is an automated approach to testing internal controls on an ongoing, real-time basis rather than through periodic, sample-based testing, using automated queries and data analytics to evaluate the full population of transactions and detect failures the moment they occur.
Key Takeaways
- Continuous Control Monitoring (CCM) shifts governance from reactive to proactive, enabling organizations to maintain real-time assurance across controls and systems.
- CCM is an automated process that tests and monitors controls continuously, helping detect issues early, minimize human error, and strengthen compliance posture.
- Setting up CCM involves identifying key controls, defining control objectives, embedding automated tests, determining frequency, and establishing structured workflows for remediation.
- Manual testing is resource-heavy, inconsistent, and error-prone—CCM eliminates these bottlenecks through automation and complete population testing.
- CCM’s value lies in transforming compliance into a continuous function—enhancing risk visibility, operational efficiency, and audit readiness.
- Cloud environments demand constant oversight; CCM plays a critical role in addressing vulnerabilities like misconfigurations, poor access management, insecure APIs, and insider threats.
- Global frameworks such as ISO 27001, NIST CSF, SOC, PCI-DSS, and HIPAA provide essential guidance for aligning CCM with cloud compliance standards.
- Implementing CCM in the cloud involves aligning security controls with compliance frameworks, building automated testing mechanisms, and ensuring real-time reporting and remediation.
- Organizations adopting CCM gain measurable benefits—reduced risk exposure, faster audit cycles, optimized costs, scalable compliance management, and improved decision-making.
- In internal audit, CCM enables a shift from sample-based testing to continuous assurance, improving accuracy, transparency, and responsiveness to evolving risks.
What is Continuous Control Monitoring?
Continuous Control Monitoring is a technology-based, iterative approach that enables organizations to detect anomalies that can go unnoticed with a traditional, manual, and periodic testing approach. It improves cyber risk identification, ensures effective IT compliance, creates opportunities for cost savings, and strengthens cyber resilience—leading to improved IT and cyber risk management. Above all, it gives the true status of a company’s cyber risk and compliance posture through a transparent view of its internal controls.
Strong internal controls are essential given the complex regulatory environment and intensifying cyber risk. CISOs, CROs, and CCOs are turning to technology to streamline and automate their internal controls for long-term, sustainable IT and cyber risk and compliance management processes as paper-based, manual processes, electronic document management, and generic desktop tools have proved to be inadequate.
CCM Use Cases by Control Domain
| Control Domain | What CCM Monitors | Data Sources | Alert Triggers |
| Access Control | Which users accessed which systems, when, and from where, with particular attention to privileged account activity | Identity and access management logs, privileged access management systems, Active Directory, SIEM platforms | After-hours access to sensitive systems, access outside an employee's defined role, privileged account misuse |
| Financial Controls | Whether transaction approvals comply with defined authorisation limits and segregation of duties is maintained | ERP transaction logs from systems such as SAP or Oracle, general ledger data | Payments processed above approval thresholds without dual sign-off, segregation of duties violations |
| Change Management | Whether system changes were reviewed and approved through the defined process before implementation | ITSM platforms such as ServiceNow, change management logs | Unauthorised changes implemented outside the approval process, emergency changes exceeding defined tolerance levels |
| Data Protection | Patterns of data access, export volumes, and handling of personally identifiable information | Data loss prevention tools, database access logs, cloud access logs | Unusual data export volumes, PII accessed in patterns inconsistent with normal usage |
| Compliance | Status of policy attestations and completion of mandatory training against regulatory deadlines | GRC platform records, learning management system data | Overdue attestations, training not completed ahead of regulatory deadlines |
| Third-Party Controls | Vendor access to systems and data, and adherence to contracted service levels | Vendor access portals, API monitoring, SLA tracking dashboards | Vendor access outside the agreed scope, service level agreement breaches |
What are the Challenges Posed by a Manual Approach to Control Testing and Monitoring?
A strong internal control system has become a prerequisite as organizations strive to become cyber-resilient and compliant with regulations such as NIST, PCI, SOC 2, and HIPAA. However, applying proper internal controls and assessing their effectiveness is an ongoing and complex process.
Take the NIST Cybersecurity Framework for instance. The framework includes five functions – Identify, Protect, Detect, Respond, and Recover – which are further broken down into 23 categories and 108 sub-categories. Manually testing every corresponding control on a periodic basis is not only a time intensive but also error-prone and ineffective given today’s digital environment.
Major Bottlenecks
- Resource Intensive: Manual processes consume significant resources, decreasing overall productivity and affecting the bottom-line
- Unreliable: Based completely on human expertise, manual testing can be error-prone and unreliable
- Expensive: Huge costs incurred to recruit people for testing controls and the time and resources spent on the process
- Risk Prone: Manual interference and negligence pose risk of discrepancies, undetected risks, and non-compliance
- Non-repeatable: Owing to lengthy and complex procedure, the repeated verification of tests at standard intervals becomes difficult
How Continuous Control Monitoring Works
Continuous control monitoring (CCM) is the automated, continuous testing and monitoring of controls across IT compliance, financial transactions, and regulatory compliance that enables organizations to proactively identify risks, improve cybersecurity and compliance posture, and reduce audit costs. It equips organizations to effectively remediate risks by assessing controls across the entire population, not just samples, in a more frequent manner.
According to Deloitte, “Continuous control monitoring (CCM) is a technology-based solution to continuously monitor processes and help [organizations] to transition from traditional, sample-based testing models to economical monitoring of full populations.”
CCM vs. Periodic Control Testing
| Dimension | Periodic Control Testing | Continuous Control Monitoring |
| Frequency | Conducted on a scheduled basis, typically annually or quarterly, aligned to audit cycles rather than operational risk | Operates continuously, with automated testing running 24/7 regardless of audit timing |
| Coverage | Limited to a sample of transactions, often between 25 and 100 items depending on population size and materiality | Covers the full population of transactions and control activities, removing sampling risk entirely |
| Detection Time | Control failures may go undetected for weeks or months until the next scheduled testing cycle | Failures and exceptions are flagged at or near the moment they occur |
| Evidence Format | Evidence is compiled manually in the period immediately before an audit, often under significant time pressure | Evidence accumulates automatically and continuously, forming a year-round repository ready for audit at any point |
| Auditor Reliance | External auditors rely on point-in-time test results that reflect conditions only at the moment of testing | Auditors can place ongoing reliance on continuously generated results, supporting a more current view of control effectiveness |
| Resource Requirement | Resource demand spikes intensely during testing periods and drops sharply between cycles | Resource demand is consistent and low, with automation carrying the operational load |
| Regulatory Alignment | Reflects the traditional audit-cycle expectation embedded in most legacy compliance frameworks | Increasingly aligned with regulatory expectations under DORA, Basel IV, and enhanced SOX programmes, which assume ongoing rather than periodic assurance |
| Technology Requirement | Achievable with standard GRC platforms and spreadsheet-based tracking | Requires a CCM platform with real-time data integration and automated query capability against source systems |
Automated, continuous testing of internal controls ensures that they are working as intended. It allows organizations to easily configure and schedule tests related to completeness, accuracy, validity, authorization, and segregation of duties, and eliminates the key challenges of existing paper and spreadsheet-based systems.
There are four key elements for the complete Continuous Control Monitoring process:
- Control Monitoring Monitoring controls that are already operating and ensuring they continue to operate as expected.
- Risk Assessment of Entire Population Eliminating the risk of failing to identify anomalies outside of a sample test. Testing against the full population to achieve a higher degree of accuracy.
- Autonomous Evidence Gathering Automating the process of gathering of evidence to avoid delayed audits and control tests.
- End-to-End Control Testing Increasing efficiency and effectiveness of control testing using automated and repeatable workflows
Why Does Continuous Control Monitoring Matter?
A robust internal control system is critical for organizations to ensure regulatory compliance in today’s volatile world but testing and monitoring security controls and gathering the evidence to show compliance is a time-consuming and rigorous process. Relying on manual and sample-based testing is resource-intensive, expensive, non-repeatable, and ineffective.
That’s where continuous control monitoring (CCM) and autonomous evidence collection come in. In today’s times of rising cyber risks, regulations, requirements, and the demands to do more with less, value-driven processes are essential.
CCM is the use of automated tools and technologies that enable you to continuously -- or at intervals you select -- monitor and test risk management processes and controls for effectiveness. By leveraging this autonomous monitoring approach, you can ensure effective compliance, reduce costs, improve operational efficiencies, and above all, get the true status of your organization’s compliance health through a transparent view of its internal controls.
How to Set Up Continuous Control Monitoring?
Setting up CCM typically involves the following steps:
Identifying Key Controls
First and foremost, organizations need to identify processes or controls related to the applicable industry control frameworks, such as NIST, PCI, SOC 2, HIPAA, and others, as well as various regulations issued by oversight bodies. Here, key controls are prioritized for continuous monitoring.
Defining Control Objectives
Once key controls have been identified, the next step is to define the control objectives or goals, i.e, defining the risk or compliance categories that are intended to be mitigated through a control.
Specifying Automated Tests or Metrics
Organizations must specify and embed automated tests or metrics that will help verify whether the controls are effective and working as intended.
Determining the Process Frequency
The next step is to determine the process frequency to perform the control tests – either continuously or at select intervals.
Establishing Well-Defined Processes
Organizations need to establish well-defined processes for managing the notifications, communicating and investigating the identified exceptions or deviations, and addressing the control weaknesses.
CCM Implementation Maturity Levels
| Maturity Level | Description | Technology | Typical Organisations |
| Level 1: Ad Hoc | Control testing is entirely periodic and manual, with no automation in place | Spreadsheets and manually compiled evidence packages | Organisations that have not yet adopted a GRC platform |
| Level 2: Scheduled Automation | Automated testing runs at set intervals such as weekly or monthly, replacing some manual effort but not yet continuous | GRC platform with scheduled, rules-based test execution | Early adopters of GRC technology building toward continuous monitoring |
| Level 3: Real-Time Monitoring | Critical controls are monitored continuously through automated integration with operational systems | Dedicated CCM platform integrated with ERP and SIEM systems | Regulated industries and SOX-reporting companies with mature compliance functions |
| Level 4: AI-Enhanced | AI-powered anomaly detection and predictive failure signals supplement continuous testing, surfacing risks before thresholds are breached | AI-powered CCM platforms with anomaly detection capability | Financial services leaders and organisations managing DORA compliance obligations |
| Level 5: Autonomous Controls | Controls are self-healing, with automated remediation closing identified gaps without manual intervention | Advanced AI combined with robotic process automation and orchestration tooling | Leading financial institutions operating at the frontier of compliance automation |
How does Continuous Control Monitoring Work in the Cloud?
Cloud computing is becoming more and more entrenched in corporate IT. Already, 96% of organizations use at least one public cloud, while 84% have at least one private cloud. Meanwhile, 37% of large enterprises say their annual cloud spend exceeds $12 million, while 53% of small and medium businesses spend more than $1.2 million on the cloud per year. That’s according to the Flexera 2022 State of the Cloud Report.
As a shared resource, the data contained within the cloud is vulnerable to security and privacy threats. Every year, bad actors find newer and better ways of attacking the cloud to steal sensitive data. Continuous monitoring of controls is one of the best measures to boost cloud security.
What are Some of the Top Cloud Threats and Vulnerabilities and Associated Controls?
Since the pandemic, more organizations have come to rely on the cloud for remote working, collaboration, commerce, and more. As cloud usage skyrockets, so have the associated security risks. The best way to safeguard your organization is by establishing pre-emptive controls.
| Top Threats & Vulnerabilities | Key Controls |
|---|---|
| Misconfiguration The most common cloud vulnerability, misconfigurations, can leave cloud assets exposed to breaches, malicious activity, and outages. They typically stem from misunderstandings of shared responsibility or a lack of knowledge about security settings. | • Restrict inbound and outbound ports • Run penetration tests • Regulate cloud access permissions • Disable legacy or insecure protocols |
| Poor identity, access, and privilege management With remote workforces, IT administrators have less control over who accesses which data and when. Attackers are seizing this opportunity to steal user credentials and hijack cloud accounts by exploiting weaknesses in identity and access management. | • Regulate access to cloud networks • Enforce the principle of least privilege • Configure robust password policies • Remove unused credentials • Ensure proper key management • Educate employees about their security responsibilities |
| Insecure APIs Cloud applications typically communicate with each other through APIs. But if these APIs don’t have regular security updates as well as proper authentication and authorization, they can create the perfect entryway for attackers to access sensitive data. | • Encrypt data • Use an API gateway to authenticate traffic • Leverage tokens and keys to verify user identity • Integrate two-factor authentication |
| Shared tenancy vulnerabilities In a multi-tenant environment, a vulnerability in one container can allow an attacker to compromise the containers of other tenants on the same host. Side-channel attacks can also occur due to a lack of authentication controls for shared resources. | • Encrypt data • Enforce multi-factor authentication • Use virtualization instead of containerization for data isolation • Understand shared responsibilities • Automate data backups |
| Third-party vulnerabilities Third-party software in the cloud may contain vulnerabilities that were intentionally inserted by threat actors or rogue developers to compromise cloud environments. | • Conduct due diligence on third-party software • Look for products that are officially supported with compliance certifications, bug bounty programs, etc. |
| DDoS attacks Criminals can flood cloud networks with overwhelming traffic, rendering resources unavailable to both customers and employees. The more systems residing in the cloud, the greater the impact of a DDoS attack. | • Employ web application firewalls • Use load balancers to restrict internet traffic • Leverage access control lists to regulate incoming traffic |
| Insider threats Malicious insiders with legitimate access to cloud systems can cause far more damage than outsider threats. They can also go undetected for months. | • Monitor cloud user analytics to identify behavioral anomalies • Encrypt data; safeguard encryption keys • Establish secure landing zones • Implement incident response plans |
What are Some of the Standards and Frameworks for Ensuring Cloud Compliance?
Cloud security controls aren’t just necessary for threat mitigation, but also for compliance. There are a multitude of standards, frameworks, and regulations that companies in the cloud are expected to adhere to, including:
- ISO/IEC 27001/ 27002 – Provides a baseline for an information security management system and control framework
- ISO/IEC 27017:2015 – Supplements ISO 27002 with additional implementation guidelines for cloud security controls
- ISO/IEC 27018:2019 – Identifies controls to protect personally identifiable information (PII) in the public cloud
- ISO/IEC 17788:2014 – Provides a terminology foundation for cloud computing
- ISO/IEC 17789:2014 – Specifies cloud computing roles, activities, and functional components
- NIST Cloud Computing Reference Architecture – Defines the responsibilities of cloud providers, consumers, brokers, auditors, and carriers
- NIST CSF – Provides standards, guidelines, and best practices to mitigate cybersecurity risks
- SOC Reporting – Helps provide assurance around cloud security controls
- PCI-DSS – Identifies baseline requirements to protect cardholder data
- HIPAA – Provides standards to protect personal health information
- CIS AWS Foundations v1.2 – Describes best practice security controls specific to Amazon Web Services (AWS)
- CIS Controls Top 20 - Prioritizes actions to guard against cyber threats.
How Do I Implement Continuous Control Monitoring in the Cloud?
Here are the key steps involved in implementing Continuous Control Monitoring in the cloud:
- Set up cloud security controls in line with compliance frameworks
- Establish a centralized repository of controls mapped to the corresponding risks, regulations, testing processes, policies, etc.
- Prioritize cloud security controls that require continuous monitoring
- Define control objectives and corresponding assertions
- Build automated tests and metrics that indicate the success or failure of each assertion
- Determine the frequency of control testing
- Identify, report, and remediate control deficiencies
What are the Benefits of Continuous Control Monitoring?
Continuous Control Monitoring enables organizations to:
- Reduce risk by sending automatic notifications to control and process owners when exceptions occur, or when deviations are identified
- Improve the business velocity by accelerating the audit and compliance process by monitoring controls continuously with automated evidence collection and keep the compliance and audit programs on schedule
- Optimize costs and improve profitability by allowing staff to focus on risky items vs running tests
- Increase the efficiency of managing multiple compliance frameworks by applying test results to multiple controls across different regulations
- Increase the accuracy of identifying anomalies with complete testing against limited sampling in manual assessment
- Increase scalability with elevated coverage of control testing across the organization and reduce the attack surface
- Increase visibility with a near real-time view of the compliance status and track evidence trail
Learn more and request a demo of autonomous control testing and monitoring now.
In an era where risks evolve by the hour and compliance expectations become increasingly complex, organizations can no longer rely solely on periodic audits or manual reviews to maintain security. Continuous Control Monitoring (CCM) has emerged as a proactive approach that keeps a constant pulse on an organization’s control environment—detecting issues in real time, minimizing human error, and improving operational resilience. It shifts governance from hindsight to foresight, enabling leaders to make decisions backed by live data rather than delayed reports. Integrating monitoring into daily operations creates a rhythm of accountability and responsiveness across teams. In a landscape defined by speed and scrutiny, CCM ensures control assurance evolves at the same pace as business itself. Per the GAO's 2025 Green Book, Principle 16, management is required to establish ongoing monitoring that catches control issues as they develop, rather than relying solely on periodic, after-the-fact evaluations.
Continuous control monitoring is an automated approach to testing internal controls on an ongoing, real-time basis rather than through periodic, sample-based testing, using automated queries and data analytics to evaluate the full population of transactions and detect failures the moment they occur.
- Continuous Control Monitoring (CCM) shifts governance from reactive to proactive, enabling organizations to maintain real-time assurance across controls and systems.
- CCM is an automated process that tests and monitors controls continuously, helping detect issues early, minimize human error, and strengthen compliance posture.
- Setting up CCM involves identifying key controls, defining control objectives, embedding automated tests, determining frequency, and establishing structured workflows for remediation.
- Manual testing is resource-heavy, inconsistent, and error-prone—CCM eliminates these bottlenecks through automation and complete population testing.
- CCM’s value lies in transforming compliance into a continuous function—enhancing risk visibility, operational efficiency, and audit readiness.
- Cloud environments demand constant oversight; CCM plays a critical role in addressing vulnerabilities like misconfigurations, poor access management, insecure APIs, and insider threats.
- Global frameworks such as ISO 27001, NIST CSF, SOC, PCI-DSS, and HIPAA provide essential guidance for aligning CCM with cloud compliance standards.
- Implementing CCM in the cloud involves aligning security controls with compliance frameworks, building automated testing mechanisms, and ensuring real-time reporting and remediation.
- Organizations adopting CCM gain measurable benefits—reduced risk exposure, faster audit cycles, optimized costs, scalable compliance management, and improved decision-making.
- In internal audit, CCM enables a shift from sample-based testing to continuous assurance, improving accuracy, transparency, and responsiveness to evolving risks.
Continuous Control Monitoring is a technology-based, iterative approach that enables organizations to detect anomalies that can go unnoticed with a traditional, manual, and periodic testing approach. It improves cyber risk identification, ensures effective IT compliance, creates opportunities for cost savings, and strengthens cyber resilience—leading to improved IT and cyber risk management. Above all, it gives the true status of a company’s cyber risk and compliance posture through a transparent view of its internal controls.
Strong internal controls are essential given the complex regulatory environment and intensifying cyber risk. CISOs, CROs, and CCOs are turning to technology to streamline and automate their internal controls for long-term, sustainable IT and cyber risk and compliance management processes as paper-based, manual processes, electronic document management, and generic desktop tools have proved to be inadequate.
CCM Use Cases by Control Domain
| Control Domain | What CCM Monitors | Data Sources | Alert Triggers |
| Access Control | Which users accessed which systems, when, and from where, with particular attention to privileged account activity | Identity and access management logs, privileged access management systems, Active Directory, SIEM platforms | After-hours access to sensitive systems, access outside an employee's defined role, privileged account misuse |
| Financial Controls | Whether transaction approvals comply with defined authorisation limits and segregation of duties is maintained | ERP transaction logs from systems such as SAP or Oracle, general ledger data | Payments processed above approval thresholds without dual sign-off, segregation of duties violations |
| Change Management | Whether system changes were reviewed and approved through the defined process before implementation | ITSM platforms such as ServiceNow, change management logs | Unauthorised changes implemented outside the approval process, emergency changes exceeding defined tolerance levels |
| Data Protection | Patterns of data access, export volumes, and handling of personally identifiable information | Data loss prevention tools, database access logs, cloud access logs | Unusual data export volumes, PII accessed in patterns inconsistent with normal usage |
| Compliance | Status of policy attestations and completion of mandatory training against regulatory deadlines | GRC platform records, learning management system data | Overdue attestations, training not completed ahead of regulatory deadlines |
| Third-Party Controls | Vendor access to systems and data, and adherence to contracted service levels | Vendor access portals, API monitoring, SLA tracking dashboards | Vendor access outside the agreed scope, service level agreement breaches |
A strong internal control system has become a prerequisite as organizations strive to become cyber-resilient and compliant with regulations such as NIST, PCI, SOC 2, and HIPAA. However, applying proper internal controls and assessing their effectiveness is an ongoing and complex process.
Take the NIST Cybersecurity Framework for instance. The framework includes five functions – Identify, Protect, Detect, Respond, and Recover – which are further broken down into 23 categories and 108 sub-categories. Manually testing every corresponding control on a periodic basis is not only a time intensive but also error-prone and ineffective given today’s digital environment.
Major Bottlenecks
- Resource Intensive: Manual processes consume significant resources, decreasing overall productivity and affecting the bottom-line
- Unreliable: Based completely on human expertise, manual testing can be error-prone and unreliable
- Expensive: Huge costs incurred to recruit people for testing controls and the time and resources spent on the process
- Risk Prone: Manual interference and negligence pose risk of discrepancies, undetected risks, and non-compliance
- Non-repeatable: Owing to lengthy and complex procedure, the repeated verification of tests at standard intervals becomes difficult
Continuous control monitoring (CCM) is the automated, continuous testing and monitoring of controls across IT compliance, financial transactions, and regulatory compliance that enables organizations to proactively identify risks, improve cybersecurity and compliance posture, and reduce audit costs. It equips organizations to effectively remediate risks by assessing controls across the entire population, not just samples, in a more frequent manner.
According to Deloitte, “Continuous control monitoring (CCM) is a technology-based solution to continuously monitor processes and help [organizations] to transition from traditional, sample-based testing models to economical monitoring of full populations.”
CCM vs. Periodic Control Testing
| Dimension | Periodic Control Testing | Continuous Control Monitoring |
| Frequency | Conducted on a scheduled basis, typically annually or quarterly, aligned to audit cycles rather than operational risk | Operates continuously, with automated testing running 24/7 regardless of audit timing |
| Coverage | Limited to a sample of transactions, often between 25 and 100 items depending on population size and materiality | Covers the full population of transactions and control activities, removing sampling risk entirely |
| Detection Time | Control failures may go undetected for weeks or months until the next scheduled testing cycle | Failures and exceptions are flagged at or near the moment they occur |
| Evidence Format | Evidence is compiled manually in the period immediately before an audit, often under significant time pressure | Evidence accumulates automatically and continuously, forming a year-round repository ready for audit at any point |
| Auditor Reliance | External auditors rely on point-in-time test results that reflect conditions only at the moment of testing | Auditors can place ongoing reliance on continuously generated results, supporting a more current view of control effectiveness |
| Resource Requirement | Resource demand spikes intensely during testing periods and drops sharply between cycles | Resource demand is consistent and low, with automation carrying the operational load |
| Regulatory Alignment | Reflects the traditional audit-cycle expectation embedded in most legacy compliance frameworks | Increasingly aligned with regulatory expectations under DORA, Basel IV, and enhanced SOX programmes, which assume ongoing rather than periodic assurance |
| Technology Requirement | Achievable with standard GRC platforms and spreadsheet-based tracking | Requires a CCM platform with real-time data integration and automated query capability against source systems |
Automated, continuous testing of internal controls ensures that they are working as intended. It allows organizations to easily configure and schedule tests related to completeness, accuracy, validity, authorization, and segregation of duties, and eliminates the key challenges of existing paper and spreadsheet-based systems.
There are four key elements for the complete Continuous Control Monitoring process:
- Control Monitoring Monitoring controls that are already operating and ensuring they continue to operate as expected.
- Risk Assessment of Entire Population Eliminating the risk of failing to identify anomalies outside of a sample test. Testing against the full population to achieve a higher degree of accuracy.
- Autonomous Evidence Gathering Automating the process of gathering of evidence to avoid delayed audits and control tests.
- End-to-End Control Testing Increasing efficiency and effectiveness of control testing using automated and repeatable workflows
A robust internal control system is critical for organizations to ensure regulatory compliance in today’s volatile world but testing and monitoring security controls and gathering the evidence to show compliance is a time-consuming and rigorous process. Relying on manual and sample-based testing is resource-intensive, expensive, non-repeatable, and ineffective.
That’s where continuous control monitoring (CCM) and autonomous evidence collection come in. In today’s times of rising cyber risks, regulations, requirements, and the demands to do more with less, value-driven processes are essential.
CCM is the use of automated tools and technologies that enable you to continuously -- or at intervals you select -- monitor and test risk management processes and controls for effectiveness. By leveraging this autonomous monitoring approach, you can ensure effective compliance, reduce costs, improve operational efficiencies, and above all, get the true status of your organization’s compliance health through a transparent view of its internal controls.
Setting up CCM typically involves the following steps:
Identifying Key Controls
First and foremost, organizations need to identify processes or controls related to the applicable industry control frameworks, such as NIST, PCI, SOC 2, HIPAA, and others, as well as various regulations issued by oversight bodies. Here, key controls are prioritized for continuous monitoring.
Defining Control Objectives
Once key controls have been identified, the next step is to define the control objectives or goals, i.e, defining the risk or compliance categories that are intended to be mitigated through a control.
Specifying Automated Tests or Metrics
Organizations must specify and embed automated tests or metrics that will help verify whether the controls are effective and working as intended.
Determining the Process Frequency
The next step is to determine the process frequency to perform the control tests – either continuously or at select intervals.
Establishing Well-Defined Processes
Organizations need to establish well-defined processes for managing the notifications, communicating and investigating the identified exceptions or deviations, and addressing the control weaknesses.
CCM Implementation Maturity Levels
| Maturity Level | Description | Technology | Typical Organisations |
| Level 1: Ad Hoc | Control testing is entirely periodic and manual, with no automation in place | Spreadsheets and manually compiled evidence packages | Organisations that have not yet adopted a GRC platform |
| Level 2: Scheduled Automation | Automated testing runs at set intervals such as weekly or monthly, replacing some manual effort but not yet continuous | GRC platform with scheduled, rules-based test execution | Early adopters of GRC technology building toward continuous monitoring |
| Level 3: Real-Time Monitoring | Critical controls are monitored continuously through automated integration with operational systems | Dedicated CCM platform integrated with ERP and SIEM systems | Regulated industries and SOX-reporting companies with mature compliance functions |
| Level 4: AI-Enhanced | AI-powered anomaly detection and predictive failure signals supplement continuous testing, surfacing risks before thresholds are breached | AI-powered CCM platforms with anomaly detection capability | Financial services leaders and organisations managing DORA compliance obligations |
| Level 5: Autonomous Controls | Controls are self-healing, with automated remediation closing identified gaps without manual intervention | Advanced AI combined with robotic process automation and orchestration tooling | Leading financial institutions operating at the frontier of compliance automation |
Cloud computing is becoming more and more entrenched in corporate IT. Already, 96% of organizations use at least one public cloud, while 84% have at least one private cloud. Meanwhile, 37% of large enterprises say their annual cloud spend exceeds $12 million, while 53% of small and medium businesses spend more than $1.2 million on the cloud per year. That’s according to the Flexera 2022 State of the Cloud Report.
As a shared resource, the data contained within the cloud is vulnerable to security and privacy threats. Every year, bad actors find newer and better ways of attacking the cloud to steal sensitive data. Continuous monitoring of controls is one of the best measures to boost cloud security.
What are Some of the Top Cloud Threats and Vulnerabilities and Associated Controls?
Since the pandemic, more organizations have come to rely on the cloud for remote working, collaboration, commerce, and more. As cloud usage skyrockets, so have the associated security risks. The best way to safeguard your organization is by establishing pre-emptive controls.
| Top Threats & Vulnerabilities | Key Controls |
|---|---|
| Misconfiguration The most common cloud vulnerability, misconfigurations, can leave cloud assets exposed to breaches, malicious activity, and outages. They typically stem from misunderstandings of shared responsibility or a lack of knowledge about security settings. | • Restrict inbound and outbound ports • Run penetration tests • Regulate cloud access permissions • Disable legacy or insecure protocols |
| Poor identity, access, and privilege management With remote workforces, IT administrators have less control over who accesses which data and when. Attackers are seizing this opportunity to steal user credentials and hijack cloud accounts by exploiting weaknesses in identity and access management. | • Regulate access to cloud networks • Enforce the principle of least privilege • Configure robust password policies • Remove unused credentials • Ensure proper key management • Educate employees about their security responsibilities |
| Insecure APIs Cloud applications typically communicate with each other through APIs. But if these APIs don’t have regular security updates as well as proper authentication and authorization, they can create the perfect entryway for attackers to access sensitive data. | • Encrypt data • Use an API gateway to authenticate traffic • Leverage tokens and keys to verify user identity • Integrate two-factor authentication |
| Shared tenancy vulnerabilities In a multi-tenant environment, a vulnerability in one container can allow an attacker to compromise the containers of other tenants on the same host. Side-channel attacks can also occur due to a lack of authentication controls for shared resources. | • Encrypt data • Enforce multi-factor authentication • Use virtualization instead of containerization for data isolation • Understand shared responsibilities • Automate data backups |
| Third-party vulnerabilities Third-party software in the cloud may contain vulnerabilities that were intentionally inserted by threat actors or rogue developers to compromise cloud environments. | • Conduct due diligence on third-party software • Look for products that are officially supported with compliance certifications, bug bounty programs, etc. |
| DDoS attacks Criminals can flood cloud networks with overwhelming traffic, rendering resources unavailable to both customers and employees. The more systems residing in the cloud, the greater the impact of a DDoS attack. | • Employ web application firewalls • Use load balancers to restrict internet traffic • Leverage access control lists to regulate incoming traffic |
| Insider threats Malicious insiders with legitimate access to cloud systems can cause far more damage than outsider threats. They can also go undetected for months. | • Monitor cloud user analytics to identify behavioral anomalies • Encrypt data; safeguard encryption keys • Establish secure landing zones • Implement incident response plans |
Cloud security controls aren’t just necessary for threat mitigation, but also for compliance. There are a multitude of standards, frameworks, and regulations that companies in the cloud are expected to adhere to, including:
- ISO/IEC 27001/ 27002 – Provides a baseline for an information security management system and control framework
- ISO/IEC 27017:2015 – Supplements ISO 27002 with additional implementation guidelines for cloud security controls
- ISO/IEC 27018:2019 – Identifies controls to protect personally identifiable information (PII) in the public cloud
- ISO/IEC 17788:2014 – Provides a terminology foundation for cloud computing
- ISO/IEC 17789:2014 – Specifies cloud computing roles, activities, and functional components
- NIST Cloud Computing Reference Architecture – Defines the responsibilities of cloud providers, consumers, brokers, auditors, and carriers
- NIST CSF – Provides standards, guidelines, and best practices to mitigate cybersecurity risks
- SOC Reporting – Helps provide assurance around cloud security controls
- PCI-DSS – Identifies baseline requirements to protect cardholder data
- HIPAA – Provides standards to protect personal health information
- CIS AWS Foundations v1.2 – Describes best practice security controls specific to Amazon Web Services (AWS)
- CIS Controls Top 20 - Prioritizes actions to guard against cyber threats.
Here are the key steps involved in implementing Continuous Control Monitoring in the cloud:
- Set up cloud security controls in line with compliance frameworks
- Establish a centralized repository of controls mapped to the corresponding risks, regulations, testing processes, policies, etc.
- Prioritize cloud security controls that require continuous monitoring
- Define control objectives and corresponding assertions
- Build automated tests and metrics that indicate the success or failure of each assertion
- Determine the frequency of control testing
- Identify, report, and remediate control deficiencies
Continuous Control Monitoring enables organizations to:
- Reduce risk by sending automatic notifications to control and process owners when exceptions occur, or when deviations are identified
- Improve the business velocity by accelerating the audit and compliance process by monitoring controls continuously with automated evidence collection and keep the compliance and audit programs on schedule
- Optimize costs and improve profitability by allowing staff to focus on risky items vs running tests
- Increase the efficiency of managing multiple compliance frameworks by applying test results to multiple controls across different regulations
- Increase the accuracy of identifying anomalies with complete testing against limited sampling in manual assessment
- Increase scalability with elevated coverage of control testing across the organization and reduce the attack surface
- Increase visibility with a near real-time view of the compliance status and track evidence trail
Learn more and request a demo of autonomous control testing and monitoring now.
Frequently Asked Questions
Continuous control monitoring is an automated approach to verifying control effectiveness in real time, testing the full population of transactions and control activities continuously and detecting failures the moment they occur rather than through periodic sampling.
Periodic testing samples transactions at scheduled intervals with detection lag of weeks to months, while CCM monitors the full population continuously with near real-time detection and automatically generates evidence rather than requiring manual pre-audit compilation.
SOX Section 404 requires management to assess internal control effectiveness, and CCM provides higher assurance by eliminating sampling risk and detection lag, allowing external auditors to place greater reliance on results and potentially reduce substantive testing scope.
CCM relies on real-time data integration with source systems such as ERP, IAM, and SIEM, automated query engines testing against defined control rules, alerting and escalation workflows, an evidence repository, and AI to detect anomalies and predict failures.
SIEM focuses on cybersecurity events by correlating security logs to detect threats, while CCM focuses on internal control effectiveness across all domains, with SIEM data often feeding into CCM as one input for access control monitoring.
CCM generates continuous, automated evidence that accumulates year-round, eliminating the pre-audit evidence scramble, and allows external auditors to test the automated logic once and rely on continuous outputs, typically reducing external audit hours by 20 to 40%.
Controls with clear, testable criteria and digital evidence, including access controls, financial controls such as dual approval and segregation of duties, change management, and data protection, are best suited, while controls requiring qualitative judgement remain less automatable.
AI contributes anomaly detection that identifies unusual patterns before defined thresholds trigger, predictive failure signals that flag controls at elevated risk based on leading indicators, and noise reduction that distinguishes genuine exceptions from false positives to reduce alert fatigue.
CCM in the cloud establishes a centralised repository of controls mapped to risks, regulations, and policies, prioritises controls for continuous monitoring, builds automated tests against defined assertions, and reports compliance status in real time across multi-cloud environments.
MetricStream provides real-time integration with source systems including ERP, IAM, and SIEM, automated testing workflows running continuously, real-time dashboards across all control domains, and AiSPIRE AI-powered anomaly detection, with evidence accumulated automatically in a centralised repository.
