Active

AI Monitoring

The organization shall monitor AI systems to detect security threats, operational issues, and performance anomalies. Monitoring shall include monitoring of model behavior, detection of security incidents, and identification of operational issues, with results reported to relevant stakeholders.

Requirement ID
AIG-005-R006
Parent Control
Domain Code

Requirement Details & Guidance

AIG-005-R006 · AIG-005
Why This Requirement Exists

This requirement exists to monitor AI behavior, security events, operational issues, and performance anomalies, ensuring AI systems are governed, secured, assessed, and operated in a controlled and accountable manner.

Implementation Guidance

Establish and document the process to monitor AI behavior, security events, operational issues, and performance anomalies. Define accountable roles, scope, required inputs and outputs, assessment or approval criteria, decision thresholds, review frequency, monitoring, reporting, exception handling, evidence requirements, and escalation paths. Apply the process across the AI lifecycle and integrate it with information security, privacy, risk, compliance, change management, incident management, and business governance as applicable.

Practical Application & Audit Readiness

AIG-005-R006 · Field Guidance

Business Examples

    Common Audit Findings

      Common Mistakes

        Best Practices & Ownership

        AIG-005 · Recommended Approach

        Recommended Practices

          Typical Owner

          Cross-Mapped Regulatory Frameworks

          Harmonized Control Mappings
          FRAMEWORK CODE FRAMEWORK NAME & DETAILS FAMILY / CATEGORY VERSION ACTION
          ISO27001 ISO/IEC 27001 ISO/IEC 27001 specifies auditable requirements for... Clause: 9.1 – Monitoring, measurement, analysis and evaluation
          ISO
          Standard
          v2022 View →
          SEBI-CSCRF SEBI Cyber Security & Cyber Resilience Framework SEBI’s Cybersecurity and Cyber Resilience Framewor... Clause: 3.1 PR.AA: Identity Management, Authentication, and Access Control; 3.4 PR.IP: Information Protection Processes and Procedures
          India
          Regulation
          vLatest View →
          ISO27002 ISO/IEC 27002 ISO/IEC 27002 is a guidance standard containing a... Clause: 8.16 – Monitoring activities
          ISO
          Standard
          v2022 View →
          PCI-DSS PCI DSS PCI DSS is an industry security standard maintaine... Clause: 11.4.1 – A penetration testing methodology is defined,; 11.4.4 – Exploitable vulnerabilities and security
          PCI
          Standard
          v4 View →
          COBIT2019 COBIT COBIT is an enterprise governance and management f... Clause: 4.2 – Align, Plan and Organize (APO) > APO13 – Managed Security > APO13.02 – Define and manage an information security and privacy risk treatment plan. 4.2 – Align, Plan and Organize (APO) > APO13 – Managed Security > APO13.03 – Monitor and review the information security management system (ISMS).
          COBIT
          Governance Framework
          v2019 View →
          NIST-CSF NIST Cybersecurity Framework (CSF) The NIST Cybersecurity Framework provides high-lev... Clause: DE.CM – Continuous Monitoring | DE.CM-09 – Computing hardware and software, runtime environments, and their data are monitored to find potentially adverse events
          NIST
          Framework
          v2 View →
          NIST80053 NIST SP 800-53 NIST SP 800-53 Rev. 5 presents control families, i... Clause: 3.19 – SYSTEM AND INFORMATION INTEGRITY; SI-4 – SYSTEM MONITORING
          NIST
          Control Catalog
          vRev. 5 View →
          GDPR General Data Protection Regulation (GDPR) The General Data Protection Regulation is a bindin... Clause: Article 32(1) – Security of processing; Article 32(1)(d) – Testing, assessing and evaluating security measures
          EU
          Regulation
          vCurrent View →
          CIS-V8 CIS Controls CIS Controls are a prioritized set of cybersecurit... Clause: Control 13 – Network Monitoring and Defense: 13.11 – Tune Security Event Alerting Thresholds
          CIS
          Best Practice
          vv8 View →
          CERT-IN CERT-In Directions The CERT-In Directions issued under India’s Inform... Clause: Annexure I(xx) – Attacks or malicious/suspicious activities affecting systems/servers/software/applications related to Artificial Intelligence and Machine Learning
          India
          Direction
          v2022 View →
          NPCI-ISR NPCI Information Security Requirements NPCI information-security requirements define cont... Clause: Operational Review; Logging and Monitoring – Alerts and Tracking
          India
          Standard
          vLatest View →
          SOC2 SOC 2 Trust Services Criteria SOC 2 is an independent examination and reporting... Clause: CC6.1 – Logical and Physical Access Controls – The entity implements logical access security software, infrastructure, and architectures over protected information assets to protect them from security events to meet the entity's objectives. CC7.1 – System Operations – To meet its objectives, the entity uses detection and monitoring procedures to identify (1) changes to configurations that result in the introduction of new vulnerabilities, and (2) susceptibilities to newly discovered vulnerabilities. CC7.3 – System Operations – The entity evaluates security events to determine whether they could or have resulted in a failure of the entity to meet its objectives (security incidents) and, if so, takes actions to prevent or address such failures. CC7.2 – System Operations – The entity monitors system components and the operation of those components for anomalies that are indicative of malicious acts, natural disasters, and errors affecting the entity's ability to meet its objectives; anomalies are analyzed to determine whether they represent security events.
          AICPA
          Audit Framework
          vLatest View →

          Parent Domain Context

          Governance Domain Baseline
          Domain Name:
          AI Governance & Model Security (AIG)
          Purpose:
          To ensure the trustworthy, secure, and ethical development and deployment of AI.
          Scope:
          Enterprise

          Parent Control Context

          Control Baseline
          Control Name:
          AI Security & Operational Resilience (AIG-005)
          Summary:
          Establishes AI security including adversarial protection, prompt injection protection, model poisoning protection, access security, monitoring, incident response, resilience testing, review, and continuous improvement.
          Business Description:
          Establish and maintain controls to protect AI systems against adversarial attacks, model compromise, data poisoning, prompt injection, model theft, unauthorized use, operational failures, and AI-related security incidents.