AI
The Role of Agentic AI in Penetration Testing
Agentic AI pentesting uses autonomous AI agents to plan, run, learn from, and reconfigure multi-step penetration tests. AI agents can simulate an attacker’s behavior and adapt strategies based on new information to provide continuous, rapid, and scalable security validation. These functions are complemented by humans who make judgments, handle any high-risk actions, and bring complex […]
Why Agentic AI Matters for Enterprise Cybersecurity
Agentic AI in Cybersecurity: Proactive, Intelligent, and Adaptive Agentic AI doesn’t just analyze, it acts. With ransomware attacks up 126% and AI-enabled threats increasing 47% from Q1 2024 to Q1 2025, the scale and speed of modern cyberattacks have overwhelmed human-only defenses. Agentic AI is emerging as a critical capability to reduce enterprise risk, respond […]
Model Context Protocol (MCP): A Vulnerable Frontier in AI Security
As agentic AI technologies, large language models (LLMs) and GenAI tools take the spotlight, a new open-source protocol sits backstage to facilitate seamless communication and data exchange among LLMs and various applications: the Model Context Protocol (MCP). But what exactly is MCP, and more importantly, what are the security implications of its widespread use? At […]