"I will remember 2025 as the year when AI agents became the key vulnerability, identity threats pivoted from stolen passwords to convincing synthetic impersonation, and nation-states began targeting the models and data used to train AI. On top of all that, post-quantum cryptography (PQC) moved from academic theory to a potential Millennium Bug-like risk all over again. AI agents became the largest unmonitored attack surface"
"Autonomous AI agents quietly proliferated across ticketing systems, CRMs, developer tools, and even cloud consoles. They operated with unclear boundaries, inconsistent logging, privileged access, and no unified governance. In effect, organisations created new 'employees' without background checks or monitoring. The novel risk wasn't from malicious AI; it was the deployment of novel agentic technology into traditional domains to rapidly achieve ROI without establishing robust long-term security."
Autonomous AI agents proliferated across enterprise systems with privileged access, unclear boundaries, inconsistent logging, and no unified governance, creating a new internal attack surface. Enterprises lost visibility as internal systems began making decisions faster than humans could explain. Identity threats shifted from stolen passwords to convincing synthetic impersonation, undermining traditional authentication and authorisation. Nation-states targeted models and training data, increasing supply-chain and data-exfiltration risks. Post-quantum cryptography moved from academic theory to an operational concern, creating cryptographic migration challenges. Recommended mitigations include treating agents as identity principals, enforcing least privilege and continuous authorisation, immutable logging, SIEM/IAM correlation, model protection, alignment, training, and red-team testing.
Read at ComputerWeekly.com
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