Agentic AI, or autonomous artificial intelligence, is taking center stage in the technology space,




opening up a new competitive battlefield for companies aspiring to dominate the field of artificial intelligence. Unlike traditional AI, which operates within predefined constraints, Agentic AI is capable of assessing, planning, and executing tasks without constant human intervention. ​

 

This high level of autonomy makes Agentic AI a valuable asset in the cybersecurity space. Organizations can leverage Agentic AI’s capabilities to enhance threat detection, incident response, and network security. However, this autonomy also creates new vulnerabilities. Malicious actors can exploit Agentic AI to carry out sophisticated cyberattacks, including social engineering, identity theft, and the creation of advanced malware.​

The dual-use nature of Agentic AI has placed it at the center of enterprise security discussions. Companies are investing heavily in deploying and securing AI-based systems. A major challenge is controlling and verifying the actions of AI agents, ensuring that they perform their intended tasks without causing unintended consequences. The ability to protect AI models from manipulation through attacks such as rapid injection, data poisoning, and unauthorized access has become a pressing concern. ​

Major cybersecurity vendors are positioning themselves to capitalize on the rise of Agentic AI. Companies such as CyberArk, Okta, Palo Alto Networks, and CrowdStrike are developing unique capabilities to secure AI identities, protect against AI-driven threats, and enhance AI model security. They leverage their expertise in identity and access management, cloud security, and network protection to address the risks posed by autonomous AI systems.​

In addition to public companies, the private sector is also actively involved in Agentic AI innovation. More than 50 private cybersecurity companies are developing solutions to harness the power of Agentic AI or mitigate the associated risks. This reflects a broader industry shift toward AI-based security solutions that go beyond reacting to threats, to proactively predicting and neutralizing them.​

The rise of Agentic AI marks a turning point in the technology landscape, presenting both enormous opportunities and significant challenges. Companies need to carefully consider how to deploy and secure autonomous AI systems to maximize the benefits this technology offers while minimizing potential risks.​