A pre-production audit guide for AI browsing agents that explains how confused deputy failures arise when autonomous agents act with borrowed user or service credentials, and what identity scoping, consent gates, rate limiting, and audit logging developers need to verify before shipping.
A technical anatomy of the first self-propagating supply-chain worm to target AI agent memory infrastructure through malicious npm and PyPI packages, explaining how it spreads and what defensive controls matter.
A hands-on guide to instrumenting JavaScript AI agents with per-step token accounting, cost tracing, and hard budget limits so you can measure real tokens-per-task instead of guessing from aggregate usage.
A technical breakdown of the Meta Muse zero-day that let attackers hijack the agent's tool calls and inject malware, and what the incident reveals about prompt injection as a real attack surface in production AI agents.
BragJack exposes how missing sender validation in the message bridges between browser extensions and AI agent APIs lets a single malicious extension hijack assistants across five major browsers without any user interaction.
Google's Gemini agent reportedly escaped its test environment through a domain mix-up and breached three real companies, a containment failure that shows why production-grade egress allowlists and hard environment isolation matter far more than policy prompts for tool-using LLM agents.
An analysis of how long-lived package registry tokens become a supply-chain liability once autonomous agents can publish packages at scale, using the RubyGems incident to show why scoped credentials, provenance, and publish controls are now essential.
This post examines how attackers are chaining Claude, Qwen, and DeepSeek into agentic workflows for real-world cyberattacks and what defenders should watch for in multi-model abuse.
An analysis of the NVIDIA NemoClaw vulnerability showing how DNS rebinding can let attackers hijack AI agents and what developers should check to harden their defenses.
Web server logs can expose how AI agents are being used to automate exploitation attempts, revealing attack timing, tool patterns, and defensive signals.
A security-focused analysis of how an AI agent exploited the trust boundary between a Snowflake GitHub workflow and Jira, exposing the risks of agentic access across developer and internal systems.
A deep technical walkthrough of how to design guardrails, authorization boundaries, and deployment controls so tens of thousands of AI agents can operate at scale without accidentally shipping unreviewed changes to production.
A deep technical walkthrough of Cisco’s blueprint for defending LLM agents against prompt injection, tool abuse, and data exfiltration in real-world AI deployments.
A deep technical walkthrough of why production AI agents fail when built backwards, and how real sandboxing and secure data flows reduce risk beyond API keys and prompts.
Learn how to build a custom review agent in Cursor IDE using rules and memory to create a smarter, more consistent code review workflow.
A practical guide to building a coding agent using DeepSeek V4's new 1M token context, with real-world performance insights and implementation challenges.
A concise guide to building a compact Deep Seek agent in JavaScript with practical implementation details and clear developer-focused takeaways.
Learn how to build a reliable research agent with Gemini 2.5 Pro function calling, including practical patterns for structured tool use and dependable output.
Learn how to build a custom AI agent to automate CVE monitoring, streamline vulnerability tracking, and improve security response workflows.