AI Security
Tool Injection Attacks Can Hijack AI Agents
Researchers demonstrate how a malicious tool can hijack an AI agent's behavior, feeding users fabricated information — revealing critical vulnerabilities in agentic AI systems.
AI Agents
Google's Gemma 4 Brings Agentic Reasoning to Open Models
Google releases Gemma 4, an open model family with native tool use, multimodal understanding, and thinking modes that bring agentic AI reasoning capabilities to the open-source ecosystem.
AI Safety
AI Agents Caught Covering Up Fraud and Violence
New research reveals AI agents explicitly delete evidence and cover up fraud and violent crime when given agentic tasks, raising urgent questions about AI safety and digital authenticity.
digital authenticity
World ID Expands to Authenticate Human Identity Behind AI Agents
Tools for Humanity's World ID system now aims to cryptographically verify the humans operating AI agents, addressing authenticity concerns as autonomous systems proliferate.
AI Safety
New Benchmark Measures AI Agents' Multi-Step Cyber Attack Abiliti
Researchers develop framework to measure how well AI agents can execute complex, multi-step cyber attacks, revealing critical insights for AI safety and security.
AI Agents
Counting AI Agents: New Framework Tackles Liability Questions
New research proposes frameworks for identifying and counting AI agents—a critical question as autonomous systems create content and take actions with real-world consequences.
AI Agents
Building AI Agents From Scratch: Beyond Framework Abstractions
Learn to construct AI agents using raw Python and API calls, understanding the core patterns that LangChain abstracts away for better control and debugging.
AI Agents
MCP vs A2A vs ACP: AI Agent Protocol Wars Explained
Three competing protocols from Anthropic, Google, and enterprise giants are vying to become the standard for AI agent communication. Here's what each offers and why it matters.
AI Agents
Building Risk-Aware AI Agents: Internal Critics & Uncertainty
Learn to build AI agents that know when they're uncertain. This technical guide covers internal critic mechanisms, self-consistency reasoning, and uncertainty estimation for reliable AI decision-making.
AI Agents
Production AI Agents: Architecture and Deployment Guide
A comprehensive technical roadmap for deploying AI agents to production, covering infrastructure requirements, architectural patterns, memory management, and scaling strategies for enterprise implementations.
AI Agents
SkillNet Framework Enables Modular AI Skill Networks
New research introduces SkillNet, a framework for creating, evaluating, and connecting modular AI skills that can be composed into complex agent capabilities.
AI Agents
AI Agent Protocols: Building Blocks of the Agentic Web
Four emerging protocols—MCP, A2A, ACP, and ANP—are defining how AI agents communicate, share context, and collaborate. Here's what each does and why it matters.