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.
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.
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.
Two critical CVEs — in mcp-remote and Anthropic's MCP Inspector — reveal how MCP server vulnerabilities let untrusted servers execute code on client machines.
A single poisoned tool description can turn a trusted MCP server into a silent data-exfiltration channel. Here's how these attacks work — and how to stop them.
A practical, step-by-step guide to hardening and securing an MCP server deployment -- authentication, sandboxing, network policy, and monitoring included.
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