AI and cybersecurity interact in two directions simultaneously. AI is an attack surface – AI models can be manipulated, poisoned, and exploited in ways that legacy security frameworks do not address. And AI is a defensive tool – AI-powered threat detection, behavioral analytics, and automated response are materially changing the Read more
Traditional machine learning models are narrow in scope: a fraud detection model flags transactions; a credit scoring model outputs a risk score. Their failure modes, while consequential, are generally bounded and measurable. Generative AI (GenAI) – large language models, image generators, code assistants, and multimodal systems – is different in Read more
Git hooks and agent hooks catch problems at commit time and during active tool calls. But a complete governance picture for AI agents also needs visibility into the traffic flowing between the agent and the AI provider – the prompts being sent, the responses coming back, the tool calls being Read more
