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.
Tool poisoning is the most impactful client-side MCP vulnerability, and the defensive research is solid. All of it assumes you know which MCP servers you connect to. Almost nobody does.
Sandbox escapes in Claude Code, critical CVEs in Cursor, a 10.0 in Gemini CLI, prompt injection in Copilot. Different vendors, one shared cause: the agent must hold elevated access to be useful.
AI-related CVEs rose 34.6% year over year and more than 200% since 2023. The interesting question is what kind of vulnerabilities they are — because most of them are not model flaws at all.
Traditional AppSec was built for static code, not decision-making agents. Here's what agentic AI security actually covers—and why autonomous agents need a new defense model.
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.
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