New Cybersecurity Frameworks Must Prioritize AI Readiness and Speed, Experts Argue

Evolving Digital Threats Require Modern Defense Strategies

Recent discussions on cybersecurity highlight an urgent need for governance models to adapt to artificial intelligence (AI)-driven threats. According to recent commentary by Ajay Tyagi and Basu Chandola, traditional compliance-based frameworks are no longer sufficient against modern attack vectors.

Key Recommendations for Cyber Resilience

• Testing High-Risk Systems: Organizations must rigorously test critical infrastructure and high-risk digital assets against automated and AI-accelerated exploits.
• Measuring Operational Resilience: Evaluations should focus heavily on an institution's practical ability to anticipate, contain, and recover from security breaches rather than just ticking procedural boxes.
• Strengthening Institutional Coordination: Experts suggest tighter alignment between the Indian Computer Emergency Response Team (CERT-In) and various sectoral regulators to streamline incident response.
• Leveraging Safety Institutes: Support from initiatives like the IndiaAI Safety Institute can help establish shared testing standards and clear accountability frameworks for both AI developers and deployers.

Lessons from Recent Incidents

Recent security events involving Indian organizations and entities such as eMudhra demonstrate that AI can rapidly accelerate the exploitation of conventional vulnerabilities. Furthermore, these instances reveal that standard audits may sometimes fail to catch underlying structural weaknesses.

Practical Implications and Verification

As organizations navigate these growing digital risks, policymakers and industry leaders emphasize moving beyond passive compliance toward active operational readiness. Stakeholders can verify original policy debates and expert recommendations by consulting official industry analyses, regulatory publications from bodies like CERT-In, and comprehensive reviews of the evolving digital landscape.