A managed service that maps enterprise AI workloads, tests runtime policy gaps, and delivers enforceable controls plus audit-ready evidence.
Added Jul 1, 2026
Enterprises are deploying AI agents, AI apps, and AI-connected APIs? faster than quarterly security reviews can track. Security teams may know risky AI behavior is happening, but detection after the fact is too slow when agents can exfiltrate data, invoke tools, or cross compliance boundaries in seconds. Buyers need a practical way to move from AI inventory to runtime control without becoming the bottleneck for engineering teams.
Start as a productized security service for CISOs and AppSec leaders: discover production AI workloads, map agents to users, tools, APIs?, data classes, and models, then run a short runtime control assessment. The service delivers a prioritized control plan, shadow-mode policy tests showing what would have been blocked, and implementation of enforcement rules through existing API? gateways, cloud logs, proxy controls, WAF/API? security tools, and AI governance platforms. Over time, repeatable playbooks and evidence templates can become a managed control operation or lightweight software layer.
AI agents are moving from experiments into production workflows, while audit and compliance expectations are shifting from policy documents to proof that controls worked. Traditional incident response and quarterly discovery cycles are mismatched to AI deployment speed.
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Build the IT controls and enablement that unlock Applied AI for our customers: the identity, policy, governance, and observability that let an enterprise safely run AI agents against their APIs. This is the layer that turns "interesting AI demo" into "AI in production" inside a regulated enterprise.
Diagnose and resolve complex production issues in environments you don't directly control. Build the identity, authorization, governance, policy, and observability capabilities that allow enterprises to safely deploy AI agents against their APIs.
Don't expect everybody requiring you to understand everything about AI. That creates too much stress, and it's impossible. And if you're a security person, you won't be able to understand everything about AI security. I'm an AI security generalist by choice, right? I, because of my role in the standardization and recommending organizations in their change programs in order to incorporate AI in their existing way of working. But I think the majority of what we need is people who specialize in specific parts of AI security. Pick the part that you like, that suits you. If you're good in math, you may be, you know, great in training and fine-tuning models.
Engage directly with customers and field teams to understand real-world security challenges around AI adoption, and translate those insights into clear scenarios, Partner deeply with engineering to design, build, and ship capabilities across the secure access platform — moving quickly from concept to customer impact.
Join Cisco’s Enterprise AI team, the core group enabling Generative AI powered experiences across Cisco. Our mission is to build secure, scalable AI platforms that empower teams to safely develop, deploy, and operationalize AI-powered solutions. We operate at the intersection of applied AI, cloud infrastructure and security - partnering across engineering, security, compliance, and product teams to bring trusted AI to life at an enterprise scale.
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