#threat-modeling
4 posts tagged with #threat-modeling
Every article below is hand-written, technically reviewed, and focused on threat-modeling. Posts cover real-world architecture decisions, code-level implementation patterns, and trade-offs you'll only discover after shipping production systems.
Cybersecurity MCP OAuth Security: Tool Impersonation, aud Mismatch, Token Replay [2026]
A threat model for MCP tool servers using OAuth: how tool impersonation and audience mismatch happen, how tokens get replayed, and what to validate and log in 2026.
Cybersecurity Agent-Specific Attack Surfaces Security [2026]: What AppSec Misses
Agents don’t just “generate text”. They read files, browse, call tools, and remember things. That breaks classic AppSec threat models. Here’s the agent-native one—and the mitigations you can actually ship.
Cybersecurity AI Agent Threat Model: 7 Attack Vectors [2026]
Prompt injection is just vector #1. Here's the full AI agent attack surface map — tool poisoning, memory injection, orchestrator hijack, Denial of Wallet, and more — with a sprint-ready threat matrix.
Cybersecurity AI Agent Security Attack Surface Map [2026 Checklist]
The first developer-friendly attack surface map combining OWASP's Top 10 for Agentic Applications, Cisco's MemoryTrap disclosure, and June 2026 red-teaming benchmarks showing 70% attack success rates — with a printable security checklist.