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SOC for AI

You already deployed AI.
Someone should be watching it.

Securing how your teams use AI, the applications you build on it, and the agents you put to work.

The problem

Your employees are pasting customer data into public models. Your engineers are shipping AI features to production. Your ops team is deploying agents with real credentials and the authority to act on them.

None of it shows up in your SIEM. Not because your SIEM is broken, but because it was built to find humans behaving unusually — and none of this involves a human at all.

Port53 secures all three surfaces, monitored from the same SOC that already runs your detection and response.

What we do

SOC for AI, in practice.

01

AI Usage — built on Cisco Secure Access

Discover every AI application in use across your organization, including the ones nobody approved. Score each by risk. Enforce policy at the prompt level so sensitive data does not leave in a paste. Monitor continuously as new tools appear.

02

AI Applications — built on Cisco AI Defense

Protect the AI you ship: model endpoints, prompt injection, jailbreak attempts, training-data leakage, and the infrastructure underneath it all.

03

Securing the Cisco Secure AI Factory

Enterprises building their own AI infrastructure have a security problem that starts at the chip. We secure the AI factory from the compute layer up — and we keep operating it after it is built. Our partners handle the design and the build. Port53 runs Day 2.

04

AI Agents — Phoenix + Splunk + XDR

Continuous visibility into what your autonomous agents are actually doing. Not just their security posture — their behavior. What they accessed, what they changed, what they were authorized to do versus what they did. Real-time alerting when an agent steps outside its lane.

How it is delivered

Machines triage. A named human decides.

AI-layer telemetry lands in Phoenix alongside every other signal we manage — the same triage, the same playbooks, the same analysts, one portal. AI security is not a separate console.

What you get

Outcomes, not features.

Proof

“Deployed across 2,500+ organizations.”

Port53 · interim proof pending first publishable AIRA stat
  • The three AI surfacesUsage, applications, and agents — named clearly, before the category settled.
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