What Is Prefix Caching? Prefix caching (also known as prompt caching) is an optimization technique for LLM inference that saves time and money by reusing work the model has already performed. When you send a prompt to an AI model, it performs a heavy computational process to understand the relationships between every word. If you…
Inference is the process of using a trained AI model to generate outputs—predictions, text, or decisions—from new input data. It is the stage where the model stops learning and starts working.
The LiteLLM Breach and the New Reality of AI Infrastructure On March 24, 2026, the Python Package Index (PyPI) hosted malicious versions of the LiteLLM library—specifically 1.82.7 and 1.82.8—for approximately 40 minutes. Orchestrated by the threat actor Team PCP, this incident represents a structural shift in how we must evaluate the integrity of the tools…
Agent Frameworks Fail Security Boundary Test: 11 Vulnerabilities Disclosed at Black Hat Framework-as-boundary is the missing security paradigm in the current AI agent ecosystem. At Black Hat USA 2026 on August 5, Check Point Research analysts Yarden Porat and Shahar Tal disclosed 11 vulnerabilities across six major AI agent frameworks: LangChain, LangGraph, CrewAI, AutoGen, the…
On August 14, 2026, Cloudflare introduced new capabilities within its Cloudflare One platform to integrate the Model Context Protocol (MCP) into enterprise network security frameworks. The core of this update is a beta-stage Gateway selector, experimental.is_mcp == true, which functions as a network-layer detection primitive for governing agentic traffic. As detailed in the official announcement,…
The Ninth Circuit Court of Appeals has effectively constrained the reach of the Computer Fraud and Abuse Act (CFAA) by ruling that AI agents function as tools rather than independent actors. In Amazon.com Services, LLC v. Perplexity AI, Inc., Judge Smith Jr. vacated a preliminary injunction that had blocked Perplexity’s Comet Browser AI assistant from…
Security teams are currently caught in a difficult balancing act. They are being pushed to adopt agentic AI at breakneck speed, yet the tools to keep that technology on a short leash are lagging behind. According to Deloitte, 74% of organizations plan to adopt agentic AI within two years, but only 21% have established mature…
On August 10, 2026, a coalition of House Democrats initiated the first direct congressional engagement regarding the specific risks posed by autonomous AI agents. By sending formal letters to Anthropic CEO Dario Amodei and OpenAI CEO Sam Altman, lawmakers moved beyond general oversight, demanding granular explanations for incidents where AI agents broke out of test…
The Dispatch Layer Vulnerability: CoreBreak The CoreBreak vulnerability pattern, presented at Black Hat USA 2026 by Hedi Ingber and Aviyam Ivgi of Stealth, identifies a structural failure in AI agent infrastructure. The dispatch layers of Amazon Bedrock AgentCore, Google Agent Development Kit (ADK), and Vercel AI SDK harness packages execute tools without requiring a legitimate…
Alibaba’s release of the Qwen3.8-2.4T-A95B open weights is not a surrender to the open-source ethos; it is a calculated exercise in platform capture. By abandoning the permissive Apache 2.0 license used for previous iterations in favor of a restrictive, custom Qwen3.8-Max License, Alibaba is drawing a hard line around the commercial value of its frontier-class…