Open-Source AI Models Pose Greatest Cybersecurity Threats, Warns Meerah Rajavel

Palo Alto Networks Chief Information Officer Meerah Rajavel warns that cheap, open-source artificial intelligence models pose the greatest security risk to modern organizations. These highly accessible models allow malicious actors to deploy complex cyberattacks without incurring the high costs associated with proprietary frontier systems. By bypassing traditional commercial guardrails, hackers can easily customize open-source models for malicious activities. This leveling of the playing field allows low-skill hackers to launch highly sophisticated digital campaigns.

Hackers use these open-source tools to generate hyper-personalized phishing emails, write polymorphic malware, and automate vulnerability scanning at scale. Since these models run locally on private servers, cybersecurity agencies cannot monitor or block their usage at the source. This creates an asymmetric warfare scenario where corporate defense systems must defend against an infinite volume of automated threats. The zero-cost barrier of these tools makes defensive operations increasingly expensive.

As one of the world's most targeted nations for cyberattacks, India faces significant exposure to AI-driven security breaches across its public infrastructure. Indian firms must quickly adopt autonomous security systems to counter automated attacks in real time. Cybersecurity experts emphasize that relying on manual security operations is no longer viable against machine-speed threats. Protecting critical digital systems like unified payments and state databases requires immediate, proactive AI defense upgrades.