All Posts
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Your AI Stack Just Handed Over Your Root Keys: Inside the litellm PyPI Breach
The popular litellm Python package was compromised on PyPI. Versions 1.82.7 and 1.82.8 contain malicious code that steals cloud credentials, SSH keys, and Kubernetes secrets.
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The Road to Agentic AI: Navigating Architecture, Threats, and Solutions
A comprehensive analysis of agentic AI system architecture across four layers — data, orchestration, agent, and system — with threat modeling and security recommendations for each.
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CISOs in a Pinch: A Security Analysis of OpenClaw
The viral rise of OpenClaw marks the end of the chatbot era and the beginning of the sovereign agent era. What does this mean for enterprise security?
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The $0 AI Pipeline That Outperforms Your $360K Cloud Stack
A patent lawyer with no ML background classified 3.5 million US patents using a single RTX 5090. The enterprise AI cost model is breaking apart — and so is the security model that came with it.
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The Week Model-Level Safety Died. I Wrote the Eulogy Six Months Ago.
OpenAI erased "safely" from its mission. Microsoft proved one prompt can strip alignment from 15 models. Anthropic dropped its safety pledge. Three events, one conclusion: model-level safety is dead as a standalone strategy.
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Claude Code Security Set the Cybersecurity Stocks on Fire - Here's the Signal in the Smoke
Anthropic's Claude Code Security is a real leap for pre-deployment scanning — but the market sell-off is a category error. Code scanning doesn't replace runtime protection, and the real threat is the AI agents themselves.
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Viral AI, Invisible Risks: What OpenClaw Reveals About Agentic Assistants
OpenClaw represents a new frontier in agentic AI — powerful, autonomous, and easy to use. We examine its capabilities and the security implications for organizations.
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The Agentic AI Hangover: The Unsolved Problem of Agentic Security
Part 3 of a three-part series. Authentication is getting easier, but authorization — deciding what an AI agent is actually allowed to do — remains the hardest unsolved problem in security.
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The Agentic AI Hangover: Why Traditional Security Models Break
Part 2 of a three-part series. The confused deputy returns at scale — how probabilistic AI plans trigger deterministic API calls, and why your RBAC, tokens, and audit logs were never built for this.
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The Agentic AI Hangover: The Shift is Real and Irreversible
Part 1 of a three-part series. The agentic AI market hit $8 billion in 2025 with 79% of enterprises deploying agents. The security challenge: preventing irreversible actions based on misunderstood intent.
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Your 100 Billion Parameter Behemoth is a Liability
The 'bigger is better' era of AI is hitting a wall. A 7-million parameter model beats frontier LLMs at logic. The future isn't a single omniscient model — it's billions of tiny, specialized ones.
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Securing LLM Applications Against OWASP Top 10 Risks
A deep dive into the OWASP Top 10 for LLM applications and how enterprise security platforms are evolving to address generative AI threats.
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IAM in Danger: Why Red Hat's 'Important' Rating for CVE-2025-10725 is Dangerously Wrong
A simple RBAC misconfiguration in Red Hat OpenShift AI lets any authenticated user become a full cluster administrator. Red Hat calls it Important. With a CVSS of 9.9, the rest of the world calls it Critical.
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From AI-Assisted to AI-Autonomous Threats: Are You Ready?
The building blocks for fully autonomous cyber threats already exist. From weaponized AI assistants to self-propagating worms, the transition from proof-of-concept to real-world attacks is accelerating.
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He Who Controls the Tokens Controls the Supply Chain: The New Face of Automated Attacks
From the s1ngularity attack that weaponized AI assistants to the Shai-Hulud worm that automates the entire attack lifecycle — the open-source supply chain is under siege.
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Securing Agentic AI - A Unique Challenge
A deep dive into the security threats unique to agentic AI architectures — from reasoning manipulation and memory poisoning to multi-agent collusion and human oversight failures.
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So... What IS an AI Agent?
Cutting through the marketing noise to find a real definition of AI agents by examining how OpenAI, Google, Anthropic, and AWS define them — and what they all have in common.