Can Runtime Security Keep Autonomous AI Under Control? — The Security Strategist

The one key thing that could aid enterprise success in the agentic AI cybersecurity space today is its ability to understand agents' intent. It’s easy to state but hard to convert into an actionable security strategy.

This is why in the recent episode of The Security Strategist podcast, host John Tolbert is joined by Dror Zelber, VP Product Marketing at Radware and Dhanesh Ramachandran, Product Marketing Manager at Radware. They got together to discuss the emerging challenges of agentic AI security and how to tackle it realistically.

More specifically, they break down what it actually means to secure AI agents, whether they are interacting with internet-facing applications on behalf of users or operating within enterprise environments, emphasising the importance of behavioural monitoring and visibility in managing AI agent interactions.

The conversation further spotlighted the need for enterprises to establish trust and governance frameworks for AI agents while prioritising security budgets and strategies.

Also Watch: Unmasking the Invisible Threat: Defend Your APIs Before Attackers Do

Takeaways

Agentic AI introduces new security challenges compared to traditional applications.
The attack surface for AI agents is significantly broader and easier to exploit.
Behavioural monitoring is crucial for understanding AI agent actions and intent.
Enterprises must prioritise visibility into AI agent activity.
Trust and identity verification are key challenges in the agentic era.
CISOs should allocate budgets for AI security solutions early in the deployment process.
Strict policies and governance are necessary for deploying AI agents.
Monitoring and auditing are essential to prevent unauthorised actions by agents.
Enterprises need to distinguish between beneficial and risky AI agent behaviour.
The future of security lies in enabling beneficial AI interactions while maintaining safeguards.

Chapters

00:00 Introduction to Agentic AI Security
01:25 Emerging Security Challenges with Agentic AI
05:37 Traditional Security Measures vs. Agentic AI
10:44 Current Activity of AI Agents in Enterprises
14:29 Distinguishing Beneficial vs. Risky AI Agent Activity
17:13 Establishing Agent Identity and Authority
23:18 Priorities for CISOs in the Agentic Era

Watch the full episode for complete insights on autonomous AI agents, the future of AI cybersecurity and how enterprises can effectively manage risky AI agent behaviour while still taking advantage of the agentic technology. For further information, visit radware.com.