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What is agentic AI, and how does it differ from traditional AI in cybersecurity? Agentic AI refers to autonomous, goal-oriented systems that can perceive their environment, make decisions, and take actions to achieve specific objectives. Unlike traditional AI, which is often rule-based or reactive, agentic AI systems can learn, adapt, and operate with a degree of independence. In https://en.wikipedia.org/wiki/Application_security , agentic AI enables continuous monitoring, real-time threat detection, and proactive response capabilities. Monitor and audit AI systems regularly to identify any potential biases or errors. Make https://www.forbes.com/sites/adrianbridgwater/2024/06/07/qwiet-ai-widens-developer-flow-channels/ for optimal performance.