Agent Security

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AI Agents That Pass Authentication Can Still Drift, Expose Data, or Get Memory-Poisoned

A VentureBeat guest essay argues that AI agents which pass authentication can still drift from their objective, expose data and have their memory poisoned, because authentication verifies who an agent is while runtime trust verifies what it is doing. This piece explains the five runtime threats, the five-pillar runtime trust model (intent validation, behavioural monitoring, policy enforcement, least-privilege execution, human oversight), how it maps onto the six deployment gates in the companion essay, the 2026 research measuring memory-poisoning success rates, the OWASP and MITRE ATLAS entries that name each threat, the survey figures on the post-authentication control gap, what Microsoft, AWS and Cloudflare have shipped, and a roadmap a UK business can run with the tools it already owns.

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AI Agents Need Their Own Identity Before They Need a Gateway

A pair of VentureBeat guest essays argue that AI agents need their own identity before they need a gateway: a proxy can only enforce what it can attribute, and most organisations have no agent identity layer to attribute anything to. This piece explains the borrowed-token problem, the six-gate dependency-gated deployment model that puts the gateway fifth, the LiteLLM CVE-2026-42271 warning, the 2026 survey data on the machine-identity gap (109 machine identities per human, 68% unable to tell agents from people), what Okta, Microsoft, Cloudflare, Kong, the IETF and NIST have shipped, and a 30-day plan a UK business can run without buying anything.

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Prompt Injection Risk: Essential Safe Assessment Guide

Prompt injection is the one attack class against business AI that has no structural fix, because instructions and data reach a language model through the same channel. This guide turns that into something you can manage: where injected instructions actually enter a business system, how to scope an assessment so it finishes in days, a ten-question likelihood and impact matrix anchored to observable facts, a control map showing which measures leave a low residual and which depend on the model behaving, how to build an injection corpus and test the boundary rather than the model, how to record findings in a register an auditor can follow, who owns the risk and what UK and EU regulators expect, realistic costs, and a 90-day plan.

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