AI Agents Redefine Enterprise Cybersecurity Risk

Menlo Ventures' Rama Sekhar on Securing AI Agents and Non-Human Identities Anna Delaney (annamadeline) • March 29, 2026

Artificial intelligence agents are transforming enterprise cybersecurity from a tool-based model to an autonomous operating layer. Unlike generative AI interfaces, agents act independently with access to enterprise systems, introducing non-human identities that must be governed and secured.

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Rama Sekhar, partner at Menlo Ventures, said agents introduce new risks because they operate with memory, autonomy and a defined blast radius. As organizations deploy them across workflows, visibility and permission control become critical to preventing overprovisioned access and unmanaged shadow AI.

"The problem is no longer finding issues; it's fixing and prioritizing them," Sekhar said. Enterprises must move beyond detection toward automated remediation, where agents can identify and patch vulnerabilities.

"We have to use AI to fight AI," Sekhar said, noting ...