CERT-In issued an advisory on cyber risks from advanced AI systems, while the RBI is discussing related risks with banks.
A 2026 Global Threat Report indicated an 89% increase in attacks by AI-enabled actors in 2025.
The Himachal Co-operative Bank lost Rs 11.5 crore in 2025 due to a malicious application exploiting system vulnerabilities.
The government is considering classifying AI use cases, potentially leading to access restrictions, which experts advise against.
Detailed Insights:
Smaller entities like cooperative banks face challenges in cybersecurity due to resource constraints and expensive compliance requirements.
The government should establish a corpus fund for smaller entities to strengthen cybersecurity, coupled with a trusted vendor list to ensure effective implementation.
The Draft Digital Competition Bill, which promotes sideloading, could inadvertently increase vulnerabilities by expanding pathways for malicious applications.
Traditional cybersecurity approaches that treat vulnerabilities as discrete issues are inadequate; a systems-level thinking is crucial for national cybersecurity strategy.
Restricting access to advanced AI systems is counterproductive, as malicious actors will not be constrained by legal frameworks.
Focus should be on identifying and fixing exploitable weaknesses in systems, rather than solely focusing on the number of vulnerabilities.
Key Concepts Involved:
Cybersecurity: Measures taken to protect computer systems and networks from digital attacks.
Vulnerability: A weakness in a system that can be exploited by a threat actor.
AI Governance: Frameworks and policies for the responsible development and deployment of artificial intelligence.