AI Agents Redefine Enterprise Cybersecurity Risk
AI Agents Redefine Enterprise Cybersecurity Risk
https://www.bankinfosecurity.com/ai-agents-redefine-enterprise-cybersecurity-risk-a-31263
Publish Date: 2026-03-29 01:09:00
Source Domain: www.bankinfosecurity.com
Artificial Intelligence & Machine Learning
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Events
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Governance & Risk Management
Menlo Ventures’ Rama Sekhar on Securing AI Agents and Non-Human Identities
Rama Sekhar, partner, Menlo Ventures
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.
See Also: Taming the Rise of Shadow AI Agents
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…
