Operationalize the CERT-In AI Security Blueprint with UnifAI
India’s CERT-In AI Security Blueprint provides security and governance guidance for organizations adopting and operating AI systems.
UnifAI maps software-addressable requirements within the CERT-In AI Security Blueprint to 49 policies, helping organizations translate AI security and governance guidance into operational controls and documented evidence.
CERT-In AI Security Blueprint Coverage
Section 12 — Secure Adoption & Governance of AI Systems
41 Policies Mapped to Software-Addressable Requirements
Coverage includes policies supporting secure AI adoption, governance, risk management, access controls, data protection, monitoring, and oversight across operating AI environments.
Section 7 — Technical Defensive Controls
6 Policies Mapped to Software-Addressable Requirements
Coverage includes technical defensive controls designed to strengthen AI systems against security threats and AI-assisted exploitation attempts.
Section 9 — Vulnerability & Patch Management
1 Policy Mapped to Software-Addressable Requirements
Coverage includes controls that help organizations identify, track, and remediate known vulnerabilities affecting AI components on a defined cadence.
Section 10 — Incident Response & Cyber Resilience
1 Policy Mapped to Software-Addressable Requirements
Coverage includes controls that support response to AI security incidents and maintain operational resilience.
From CERT-In AI Requirements to Operational Controls
UnifAI connects India’s AI security and governance requirements to operational policies and controls:
Requirement → Policy Mapping → AI Control → Enforcement or Notification → Documented Evidence
This gives organizations visibility not only into which requirements are addressed, but also into how those requirements are being operationalized across AI environments.
Where UnifAI Goes Deep
Secure AI Adoption & Governance
With 41 mapped policies, secure AI adoption and governance represents the most extensively mapped area of the CERT-In AI Security Blueprint in Lineaje’s assessment. UnifAI helps organizations translate these requirements into policies and controls across operating AI environments.
Technical Defensive Controls
Mapped policies help organizations establish technical guardrails designed to strengthen AI systems against security threats and AI-assisted exploitation.
Vulnerability & Patch Management
UnifAI helps connect vulnerability management requirements to controls for identifying, tracking, and remediating vulnerabilities affecting AI components.
Incident Response & Cyber Resilience
Mapped controls support AI incident response and operational resilience, helping organizations maintain evidence of how security requirements are being addressed.
DISCOVER
Establish visibility into AI assets operating across applications, models, agents, teams, and infrastructure.
DERIVE
Map applicable CERT-In AI Security Blueprint requirements to policies and controls.
DEFEND
Apply operational guardrails and continuously maintain evidence of how those controls are working.
Written AI security guidance is only the beginning. UnifAI helps organizations connect CERT-In requirements to the AI systems, policies, controls, monitoring, and evidence needed to make AI security governance operational.
See how UnifAI helps you discover the AI you need to govern, map CERT-In AI Security Blueprint requirements to policies and controls, enforce guardrails, and maintain continuous evidence.
*Coverage shown reflects regulatory requirements mapped to UnifAI’s software-addressable controls. Frameworks may also include organizational, procedural, training data, model training, or other requirements outside this technical scope. Coverage reflects Lineaje’s internal AI Policy Compliance Coverage assessment and does not constitute a general assertion of regulatory compliance.