Identity and access management for non-human AI agents
AI agents now hold production credentials the way employees do, except most are never offboarded. Here's how AI agent identity and access management closes that gap.
Deep dives, practical guides, and incident analyses from engineers who build Safeguard. No fluff, no vendor FUD — just what you need to ship secure software.
AI agents now hold production credentials the way employees do, except most are never offboarded. Here's how AI agent identity and access management closes that gap.
A practical, step-by-step guide to AI agent authorization: scoping permissions, using OAuth for machine identities, and verifying least-privilege boundaries hold in production.
Multi-agent AI systems introduce security risks classic AppSec misses: agent-to-agent exploits, swarm failures, and orchestration trust gaps.
AI browser agents click, browse, and pay with your credentials -- and prompt injection attacks like EchoLeak and CometJacking prove they can be hijacked to do it.
Computer-use AI agents can click, type, and log into any app on your desktop. Here is how computer use AI agent security actually works in practice.
Install scripts have been off by default since npm 12 shipped in July 2026. Four weeks later a worm propagated through preinstall hooks. A default is not a control until you prove it is enforced.
How zero trust AI agents, agent network segmentation, and continuous verification close the gaps that let one poisoned tool call turn an autonomous agent into a supply chain attack.
MCP security is now urgent: MCP servers grew from 700 to 16,000+ in a year, and most are unaudited. Here is the threat model and how Safeguard secures it.
Apache Tomcat's EncryptInterceptor exists to encrypt cluster replication traffic. CVE-2026-34486 lets that protection be bypassed — the config says encrypted, the wire says otherwise.
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