https://candid-gnu-ncfh98.mystrikingly.com/blog/frequently-asked-questions-about-agentic-artificial-intelligence-3b69f1dc-cb56-4d96-8a2a-3e4900a89a9e What is agentic AI and how does this differ from the traditional AI used 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. Agentic AI is a powerful tool for cybersecurity. It allows continuous monitoring, real time threat detection and proactive response. What are some examples of real-world agentic AI in cybersecurity? Examples of agentic AI in cybersecurity include: Platforms that automatically detect and respond to malicious threats and continuously monitor endpoints and networks. AI-powered vulnerability scanners that identify and prioritize security flaws in applications and infrastructure Intelligent threat intelligence systems gather data from multiple sources and analyze it to provide proactive protection against emerging threats Autonomous incident response tools that can contain and mitigate cyber attacks without human intervention AI-driven solutions for fraud detection that detect and prevent fraudulent activity in real time How can agentic AI help bridge the skills gap in cybersecurity and alleviate the burden on security teams? Agentic AI helps to address the cybersecurity skills gaps by automating repetitive and time-consuming security tasks currently handled manually. Agentic AI systems free human experts from repetitive and time-consuming tasks like continuous monitoring, vulnerability scanning and incident response. Agentic AI's insights and recommendations can also help less experienced security personnel to make better decisions and respond more efficiently to potential threats. What are the potential implications of agentic AI for compl