Adversarial AI attacks are evolving at a pace that surpasses the capability of human SOC analysts to respond effectively. This has led to the emergence of a new era in cybersecurity defense – agentic AI cyberdefense. With attackers breaching networks and moving laterally within just 51 seconds, there is a pressing need for automated responses that can match the speed of these attacks.
Security leaders are now looking towards leveraging AI to enhance their existing security operations investments and better handle the ever-expanding threat landscape. Gartner’s 2025 Hype Cycle for Security Operations highlights the desire for organizations to extract more value from their current tools while incorporating AI capabilities.
A recent note from William Blair & Company on CrowdStrike predicts a significant growth opportunity for agentic AI in the cybersecurity space. The potential for agentic AI to secure a larger number of assets is projected to increase the total addressable market from $140 billion to $300 billion by 2030.
However, for agentic AI to reach its full potential, strong governance measures must be put in place. CrowdStrike CEO George Kurtz emphasized the importance of implementing guardrails around AI agents to prevent unauthorized access to networks. This sentiment is echoed by SOC leaders and CISOs across industries who are grappling with governance challenges as they experiment with different architectures.
Shlomo Kramer, CEO of Cato Networks, emphasized the importance of combining AI with the right architecture to address the diverse challenges faced by IT teams. He highlighted the need for good data as the foundation for effective AI, citing Cato’s extensive data lake that captures metadata from every transaction across their SASE Cloud Platform.
To safeguard SOCs at scale and ensure governance, the following ten agentic AI technologies are expected to play a crucial role:
1. Charlotte AI AgentWorks
2. Threat AI Agents
3. Pangea Agent Protection
4. Falcon for IT
5. Onum Streaming Telemetry
6. Unified Enterprise Graph
7. Malware Analysis Agent
8. Agentic Fusion SOAR
9. Hunt Agent
10. Governance by Design
These technologies are designed to automate various aspects of cybersecurity operations, from threat detection and response to vulnerability prioritization and malware analysis. By integrating these technologies into their security architecture, enterprises can enhance their cybersecurity defenses and adapt to the evolving threat landscape.
In conclusion, the projected expansion of assets in need of security demands a collaborative effort from the industry. Success in combating adversarial AI attacks will require unified architectures, embedded governance, and a spirit of cooperation among vendors. By working together and leveraging the latest agentic AI technologies, organizations can strengthen their cybersecurity defenses and stay ahead of sophisticated cyber threats.
