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vulnerabilities
CERT-In’s AI Vulnerability Blueprint: Why Indian CISOs Need Machine-Speed Risk Operations in the Post-Mythos Era
India's computer emergency response team (CERT-In) has released a 2026 blueprint requiring organizations to contain and remediate known exploited vulnerabilities within 12 hours, driven by the emergence of AI models like Mythos that can autonomously discover and weaponize zero-day exploits at machine speed. Indian organizations currently average 263 days to contain breaches, creating a significant gap between current capabilities and regulatory expectations. The blueprint mandates continuous validation of remediation, evidence of exploit-path closure, and AI governance to defend against AI-assisted vulnerability exploitation.
Why it matters: Indian CISOs and security teams must immediately reassess their incident response and vulnerability management operations: the regulatory timeline (12 hours to containment) is now 22 times faster than current average breach lifecycle (263 days), and AI-powered exploit discovery means attackers can weaponize unpatched known vulnerabilities at machine speed, requiring shift from traditional patch management to continuous detection, prioritization, validation, and autonomous remediation at operational scale.
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vulnerabilities
CERT-In’s AI Vulnerability Blueprint: Why Indian CISOs Need Machine-Speed Risk Operations in the Post-Mythos Era
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Correction
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vulnerabilities
CERT-In’s AI Vulnerability Blueprint: Why Indian CISOs Need Machine-Speed Risk Operations in the Post-Mythos Era
CERT-In's 2026 blueprint requires Indian organizations to contain known exploited vulnerabilities on critical systems within 12 hours and report incidents within 6 hours, representing a dramatic acceleration from the current average breach lifecycle of 263 days. Mythos-class artificial intelligence (AI) models can autonomously discover and exploit previously unknown vulnerabilities in code, and while access to Anthropic's Mythos was restricted by US export controls in June 2026, comparable capabilities remain available through public models like GPT-5.5 and dark web leaks. Organizations must transition to continuous Risk Operations Centers that detect, validate, remediate, and prove closure at machine speed to meet regulatory expectations and defend against AI-assisted exploitation.
Why it matters: Indian CISOs face immediate compliance pressure and heightened exploit risk: CERT-In now mandates machine-speed containment timelines that most current security operations cannot meet, while AI-assisted vulnerability discovery tools remain accessible to attackers despite export restrictions, forcing a fundamental operating model redesign.
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