Real-time threat detection and response: 

AI agents continuously monitor network traffic and user behavior to detect anomalies and instantly take action to mitigate threats, which is crucial for fast-moving attacks like ransomware. 

Automated threat hunting: 

They proactively and continuously search for hidden indicators of compromise across an organization's systems, helping to uncover threats before they cause significant damage. 

Proactive vulnerability management: 

Agents continuously scan for and identify security weaknesses, prioritize them based on risk, and can even autonomously apply patches or recommend policy changes to improve security posture. 

Enhanced incident response: 

When a threat is detected, AI agents can automate the classification and tracking of the incident, and interact with the environment to take action, such as isolating a compromised system. 

Security testing and assessment: 

Agentic AI can autonomously simulate cyberattacks to test defenses and identify vulnerabilities in networks, applications, and cloud environments. 

Support for human analysts: 

AI agents act as a force multiplier for human teams, automating routine tasks so specialists can focus on more complex issues. They can also provide security teams with role-specific insights and recommendations to strengthen defenses. 

Adaptive security: 

Unlike traditional tools with static rules, AI agents are dynamic and can learn from new information. This allows them to adapt their responses on the fly as attacker tactics evolve.