CERT-In has released a landmark 38-page framework guiding organisations to defend their digital infrastructure against the rising tide of AI-assisted cyber exploitation. Here’s what it means and what you need to do.
Artificial Intelligence has changed the rules of cyber warfare — and not in the defender’s favour. On 25 May 2026, India’s nodal cybersecurity agency, the Indian Computer Emergency Response Team (CERT-In), published a landmark document: the Blueprint for Reducing Exposure and Defending against AI-Assisted Vulnerabilities Exploitation in Digital Infrastructure. Across 38 pages and 14 detailed sections, it lays out the most comprehensive national guidance India has yet produced for confronting the AI-enabled threat actor of today.
The timing is not accidental. Threat actors — from nation-states to opportunistic criminals — are already deploying large language models (LLMs), autonomous agents, and generative AI tools to accelerate every phase of the cyber kill chain. Reconnaissance that once took weeks now takes hours. Phishing emails that once required skilled writers are now produced at industrial scale. Malware is mutating faster than signature-based defences can keep up. The blueprint acknowledges all of this and provides a concrete, phased response.
“AI-assisted cyber exploitation reduces the time required for adversaries to identify, weaponize, and exploit vulnerabilities, exposed services, weak identities, insecure APIs, and misconfigured systems.”
— CERT-In Blueprint, Executive Summary
The Threat Landscape CERT-In Is Warning About
The blueprint identifies six distinct categories of AI-assisted threat that organisations must prepare for today:
| THREAT CATEGORY | DESCRIPTION |
| 01. AI Reconnaissance | Automated attack surface discovery, OSINT aggregation, exposed API identification, exploit chaining — all at machine speed. AI-assisted capabilities significantly accelerate attack preparation timelines. |
| 02. Deepfake Fraud | Spear phishing, executive voice cloning, synthetic video impersonation, and business email compromise at unprecedented realism. Such attacks bypass traditional awareness-based detection due to their contextual accuracy. |
| 03. AI-Generated Malware | Adaptive payloads, automated obfuscation, semi-autonomous attack execution, and evasion of static detection controls. Lowers the barrier for even untrained threat actors to launch sophisticated attacks. |
| 04. Adversarial AI Attacks | Prompt injection, model poisoning, training data manipulation, AI model theft, and compromise of AI orchestration pipelines — targeting your own deployed AI systems. |
| 05. Critical Infrastructure | Government, finance, healthcare, energy and telecom sectors face elevated exposure due to interconnected OT/IT systems, potentially causing operational disruption, financial fraud, and national security implications. |
| 06. Agentic AI Threats | Fully autonomous cyber operations completing reconnaissance through data exfiltration without human intervention, in highly compressed timeframes — the most advanced emerging threat vector. |
The document is unambiguous: exploitation timelines are collapsing. The window between a vulnerability being disclosed and being actively exploited — historically measured in weeks — is now shrinking to hours. Organisations that rely solely on periodic audits or reactive security are, as the blueprint states, operating with an approach that ‘would become insufficient.’
The 12 Core Defensive Principles
At the heart of the blueprint are 12 defensive principles that CERT-In says should anchor every organisation’s cybersecurity strategy. These represent a genuine shift in security philosophy:
| PRINCIPLE | WHAT IT MEANS FOR YOUR ORGANISATION |
| Assume Breach | Stop treating security as breach prevention. Design systems assuming compromise will happen, and optimise for rapid detection, containment, and recovery. |
| Zero Trust Security | Enforce continuous verification and least-privilege access through MFA, PAM, microsegmentation, and conditional access policies — trust nothing, verify everything. |
| Defence-in-Depth | Layer controls across infrastructure, applications, identities, cloud, and AI systems so no single point of failure is catastrophic. |
| Continuous Exposure Mgmt | Shift from periodic vulnerability scans to continuous attack surface monitoring, cloud posture assessment, and validated remediation workflows. |
| Secure-by-Design | Embed security from inception — threat modelling, secure SDLC, CI/CD security testing, and hardened default configurations across all systems. |
| Threat-Informed Defence | Align controls to actual adversarial tactics using threat intelligence integration, red/purple teaming, and detection engineering. |
| Resilience-Centric | Maintain operational continuity during incidents through business continuity planning, disaster recovery, and immutable backups. |
| Security Automation | Leverage SOAR workflows and automated triage while maintaining human approval gates for high-impact, irreversible decisions. |
| Data-Centric Security | Protect sensitive data throughout its lifecycle with classification, encryption, DLP, and secure retention — especially data flowing through AI systems. |
| Supply-Chain Trust | Reduce third-party risks through SBOM/AIBOM/CBOM/QBOM frameworks, vendor assessments, and provenance validation. |
| Continuous Validation | Continuously test security effectiveness through vulnerability assessments, penetration testing, adversarial simulations, and independent audits. |
| Risk-Based Prioritisation | Prioritise enhanced protection for crown-jewel systems, privileged identities, cloud management planes, and OT environments. |
The Remediation Timelines That Will Surprise Many
One of the most operationally significant sections is CERT-In’s indicative risk-based remediation timeline. For organisations accustomed to 30- or 90-day patching cycles, these expectations represent a significant step-change:
| FINDING TYPE | SEVERITY | EXPECTED REMEDIATION |
| Known exploited vulnerability on internet-facing / crown-jewel systems | CRITICAL | Within 12 HOURS — contain, patch, mitigate, or remove exposure |
| Critical externally exposed vulnerability | CRITICAL | Within 1 DAY — patch, mitigate, or remove exposure |
| Known exploited vulnerability on internal systems | CRITICAL | Within 1 DAY (unless compensating controls documented) |
| Critical internal vulnerability on high-value systems | CRITICAL | Within 3 DAYS |
| High-severity vulnerability | HIGH | Within 5 DAYS based on risk prioritisation |
| No patch available | NO PATCH | Isolate, restrict access, add WAF/API protection, enhance monitoring until remediation available |
Important: All entities are required to report cyber incidents to CERT-In within 6 hours of detection. This is a regulatory direction, not an aspiration.
The Three-Phase Implementation Roadmap
CERT-In recommends a phased, risk-informed approach to implementation, structured across three escalating horizons:
| PHASE | TIMELINE | KEY ACTIVITIES |
| I Immediate Risk Reduction | Days 0–7 | Establish governance structures, identify critical and internet-facing assets, implement MFA for critical access, conduct vulnerability assessments, patch known exploited vulnerabilities, enable security logging, reduce unnecessary exposure, and initiate workforce awareness on AI-assisted phishing and deepfake threats. |
| II Operational Strengthening | Days 8–30 | Strengthen SOC and monitoring capabilities; integrate endpoint, cloud, identity, and network telemetry; establish continuous vulnerability and attack surface management; implement behaviour-based detection and threat hunting; establish AI governance and AI system inventory; conduct cloud and API security assessments; strengthen third-party and supply-chain assurance; conduct tabletop exercises and backup restoration testing. |
| III Advanced Resilience & Adaptive Security | Days 31–60 | Conduct red team exercises and adversarial simulations; implement continuous control validation; enhance security automation and orchestration; adopt AI-assisted defensive operations where appropriate; validate AI model integrity and AI orchestration security; continuously reassess organisational exposure and resilience posture. |
Governing Your Own AI Systems
Perhaps the most forward-looking section of the blueprint is Chapter 12, on secure AI adoption and governance. As organisations deploy LLMs, autonomous agents, and AI-assisted automation, they become targets for a new class of attack — prompt injection, model manipulation, training data poisoning, and compromise of AI orchestration pipelines.
CERT-In’s guidance across 16 areas includes maintaining AI asset inventories, monitoring shadow AI usage, restricting sensitive data from public AI platforms, validating AI-generated code before deployment, and — critically — establishing emergency shutdown mechanisms for autonomous and agentic AI systems.
“The growing use of publicly accessible AI platforms may create unmanaged exposure if appropriate governance, security, monitoring, and validation mechanisms are not established.”
— CERT-In Blueprint, Section 12
PARTNER SPOTLIGHT
How CyRAACS Can Help Your Organisation
Implement This Blueprint
The CERT-In blueprint sets a high bar — continuous exposure management, 12-hour patch SLAs, AI governance frameworks, red teaming, and more. CyRAACS, one of India’s leading cybersecurity consulting and advisory firms, is purpose-built to help organisations navigate exactly this landscape.
| AI-Assisted Vulnerability Assessment CyRAACS conducts comprehensive internal and external vulnerability assessments aligned to CERT-In’s risk-based remediation timelines, prioritising Known Exploited Vulnerabilities (KEVs) and internet-facing crown-jewel systems — helping you meet the 12-hour critical patch window. | Zero Trust Architecture Advisory From MFA and PAM implementation to microsegmentation and conditional access policy design, CyRAACS helps organisations build and validate Zero Trust architectures that align to CERT-In’s core defensive principles. |
| Red Teaming & Adversarial Simulation CyRAACS’ CERT-In empanelled security experts conduct multi-stage red team exercises, phishing simulations, cloud compromise assessments, and AI-specific adversarial testing — covering all validation areas outlined in Section 11 of the blueprint. | AI Security & Governance Consulting CyRAACS assists organisations in building AI governance frameworks — AI usage policies, AIBOM/SBOM adoption, shadow AI detection, prompt injection defence, and secure AI DevSecOps workflows — aligned to Section 12 of the blueprint. |
| OT / Critical Infrastructure Security For sectors like energy, manufacturing, and healthcare, CyRAACS provides IT/OT segregation assessments, industrial environment monitoring, remote access governance, and supply-chain risk management. | SOC Modernisation & SIEM Tuning CyRAACS helps organisations build or mature AI-aware Security Operations Centres — integrating endpoint, cloud, identity, and network telemetry into behavioural analytics platforms and tuning detection rules against current AI-assisted attack techniques. |
| Supply-Chain & xBOM Advisory CyRAACS guides organisations through SBOM, AIBOM, CBOM, and QBOM adoption — the xBOM frameworks specifically recommended by CERT-In for improving software and AI supply-chain visibility and dependency risk management. | CERT-In Compliant Cyber Audits As a CERT-In empanelled Information Security Auditing Organisation, CyRAACS delivers comprehensive cybersecurity audits aligned to CERT-In’s Comprehensive Cyber Security Audit Policy Guidelines — covering governance, controls, resilience, and incident preparedness. |
| Incident Response Preparedness CyRAACS helps organisations build and test incident response playbooks, conduct tabletop exercises covering ransomware and AI-enabled phishing scenarios, validate backup restoration procedures, and establish the 6-hour incident reporting workflows mandated by CERT-In. |
Ready to assess your readiness? Contact CyRAACS today | www.cyraacs.com
The Bottom Line
The CERT-In blueprint is not a compliance document to be filed away — it is an operational mandate delivered in the language of urgency. AI-powered threats are not coming. They are here, scaling, and accelerating. The blueprint’s message is unambiguous: continuous exposure management, AI-aware security operations, and resilience-oriented governance are no longer best practice. They are the baseline.
Organisations should begin Phase I activities immediately — this week. The 7-day window for foundational governance, MFA on critical systems, and critical vulnerability patching is not arbitrary; it reflects how quickly AI-enabled adversaries can move once they identify a target.
The organisations that treat this blueprint as a roadmap rather than a checklist — and that engage the right partners to implement it — will be meaningfully better positioned against the threat landscape of 2026 and beyond.
