Securing Agentic AI: A New Cybersecurity Challenge
As businesses increasingly adopt AI systems, ensuring their security has become a critical concern. Traditional cybersecurity measures, which focus on preventing external threats, may not be sufficient for the unique challenges posed by agentic AI.
Podcast Insight from the AI Summit
In a recent episode of the Targeting AI podcast, Oren Michels, founder and CEO of AI data and access management startup Barndoor.ai, discussed the cybersecurity implications of the growing use of agentic AI systems in enterprises. The conversation took place at the AI Summit in New York City, where Michels was scheduled to speak on a panel about enterprise‑grade AI security.
Why a New Approach Is Needed
Michels highlighted the need for a new approach to securing agentic AI systems. Unlike traditional IT security, which aims to keep outsiders from infiltrating systems, securing agentic AI involves ensuring that the agents themselves perform as intended. He noted that while humans within an organization use AI agents to complete tasks, the agents might not always behave as expected. Therefore, security measures must focus on the agents themselves, not just the humans using them.
Implications for Businesses
This shift in focus is crucial for businesses looking to implement AI systems securely. As agentic AI becomes more prevalent, companies must adapt their cybersecurity strategies to address the unique risks and challenges posed by these advanced technologies.
