AI Agents, Context & Governance: Complex but Critical for Risk Management
Management of non-human identities has evolved in response to the rapid adoption of semi-autonomous AI agents. The complex nature of their interactions with both human operators and other agents means that security teams need a more sophisticated approach that uses behavioural context to determine an agent’s permissions. Firms are leveraging an identity management approach mirroring the complexities of human operator requirements, but at a vastly bigger scale.
Feb 26
As AI Agents Become Pervasive, Identity Matters Even More
Autonomous AI agents can bring significant operational efficiencies, but magnify the risk of vulnerabilities if they are given access permissions that are closer to a human identity
Feb 11
The MFA Killer: Why Your AI Assistant is the New Insider Threat and What to Do About it
In 2026, the most dangerous “insider” may not be a person at all. It may be a well-intentioned agent with too much authority, too little supervision, and unfettered access to the orchestration layer that binds the enterprise together.
Feb 5