The three layers of agentic AI security: A defense-in-depth
Presented by Nutanix Autonomous systems that can reason, make their own decisions, and execute actions across an environment introduce a category of risk…
Summary
Presented by Nutanix Autonomous systems that can reason, make their own decisions, and execute actions across an environment introduce a category of risk that application-level controls were never built to contain. Treating that risk as a single problem produces incomplete architectures, says Oscar Wahlberg, senior director of product management at Nutanix. "The guardrails to catch a malicious prompt won't stop an agent from hallucinating and doing something it never should have done, like accidentally deleting databases or leaking sensitive data with a credential it was granted but then uses for something entirely different," Wahlberg says. "That's the central problem as enterprises move autonomous agents out of experimentation and into production.
Positives
- The report adds a new data point to the technology market.
- The development may create new product, research, or competitive opportunities.
Risks & concerns
- Presented by Nutanix Autonomous systems that can reason, make their own decisions, and execute actions across an environment introduce a category of risk that application-level controls were never built to contain.
- Treating that risk as a single problem produces incomplete architectures, says Oscar Wahlberg, senior director of product management at Nutanix.
- "That's the central problem as enterprises move autonomous agents out of experimentation and into production.
- " Once an agentic system is granted execution privileges across the data center, the security posture has to scale into a defense-in-depth architecture spanning infrastructure, storage, compute, networking, and a governing control plane.