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AGENTIC
SECURITY OPERATIONS
FOR THE AI ERA.

The always-on SOC for everything you run
and every AI you now run with it.

Cisco’s #1 global Managed XDR partner
2,500+ organizations secured

Our integrations
ciscosplunkcrowdstrikesentinelonepaloaltotenableproofpointmicrosoftawsgooglecloud
The AI shift

AI is running two plays against you at once.

On one side, attackers now have models that find vulnerabilities in hours, not quarters. On the other, your own teams are shipping with AI applications faster than anyone can secure them. SIEM and EDR weren’t built to catch anomalies at this era. So we built the SOC that can. AI for SOC to run detection and response at machine speed. SOC for AI to secure everything your organization builds and deploys with AI. One core, two fronts.

What we operate

Your mission control.

01

Agentic SOC

Detection and response across endpoint, network, cloud, and identity. Built on Cisco XDR and Splunk, operated through Phoenix. AI clears the noise. Analysts own the call.

02

SOC for AI

Govern how your teams use AI, protect the AI you ship, and watch the agents you deploy. The category most providers have not started building.

03

Exposure &
Secure Networking

Find what is outdated, expired, and exploitable before a model does — then close the gap with a network that defends itself.

Inside SOC for AI

Secure AI. Operate AI.
Trust AI.

Full SOC coverage across three surfaces.

AI Usage

What it covers
How your employees use public AI
What we see
Shadow AI, prompt-level data loss, per-app risk
Built on
Cisco Secure Access

AI Applications

What it covers
The AI features you ship to customers
What we see
Model endpoints, prompt injection, leakage, and the infrastructure beneath
Built on
Cisco AI Defense · Secure AI Factory

AI Agents

What it covers
The autonomous agents you deploy
What we see
Every action taken, in real time
Built on
Phoenix + XDR
The platform

Attacks move at machine speed. So does the SOC that stops them.

Phoenix is the operational platform our analysts run on. Agentic triage handles the first pass — enrichment, correlation, false-positive elimination — so a human analyst opens the alerts that actually need a human.

It ingests everything: XDR, Splunk, and AI-layer telemetry from Secure Access, Isovalent and AI Defense.

  • Agentic Tier-1 triage, enrichment, and correlation
  • Response playbooks built from a decade of real incidents
  • Detection content tuned across 2,500+ environments
  • A transparency portal that lets you watch the SOC work
  • Vendor-agnostic, standards-native ingestion
Phoenix · playbook run success
Phoenix — a playbook run, showing the run list, the branch graph and the step table.
Why Port53

When others sell tools, we deliver outcomes.

  • Cisco's #1 global Managed XDR partnerAnd the first to be certified.
  • 2,500+ organizations securedAcross every major industry.
  • Built on XDR, not SIEMLess complexity, less cost, faster time to value.
  • Cybersecurity is all we doNot an add-on. Not a checkbox.
Proof

Trusted where it counts.

Construction

“Their 24/7 real-time monitoring ensures threats are identified and neutralized before they can impact our organization.”

Jeremy C. · Director of IS
Cummings Resources
Food & Beverage

“Port53 streamlines the journey from proof of concept to full implementation, ensuring you get maximum value from every solution they help integrate.”

S. Martinelli & Company
Manufacturing

“The team at Port53 is not only highly skilled but also genuinely invested in our success.”

Ingo A. · IT Manager
West Coast Magnetics
AI Risk Assessment

Find out what AI is already doing in your environment.

The Port53 AI Risk Assessment is a five-day, analyst-delivered review of every AI application in use across your organization — including the ones nobody told you about. You get a scored report, a risk-ranked app inventory, and a call with the analyst who built it.

No agents to deploy · No cost

AI RISK ASSESSMENT REPORT

Dear ACME, Inc.,

This report provides an assessment of your organization’s exposure to generative AI usage, based on activity observed through Cisco Umbrella’s AI App Discovery.

Our analysis reveals how employees are actively leveraging AI tools across your environment — often without centralized visibility, control, or security oversight. As AI adoption accelerates, this creates new risks around sensitive data exposure, compliance, and unmanaged usage patterns.

This assessment outlines your current AI risk posture and provides clear recommendations to help you establish control, enforce policy, and introduce continuous monitoring and response through Cisco Secure Access and Port53’s SOC for AI Usage.

RISK SCORE:
LOW | MEDIUM | HIGH
Assessment period: 2026-05-18 → 2026-08-15
See pages 2–3 for app details and categorization

Risk summary

GENAI APPS DETECTED
164
across 152 unique vendors
TOTAL DNS REQUESTS TO GENAI
738,412
traffic data unavailable in this export
USER-APP CONNECTIONS TO GENAI
1,392
without policy oversight
High-risk AI apps in active use
11 (7%)
Outbound traffic data
Not available in this export
Suspected Shadow AI (single-user tools with material activity)
23
Vendor sprawl ratio (unique vendors ÷ total apps)
0.93
Apps controllable but uncontrolled by current policy
151
Total DNS requests to GenAI services
738,412

Based on the findings above, your organization’s current cumulative AI risk is High.

Definitions

Outbound data to LLMs: Total MB uploaded from your network to generative AI services — the most direct measure of data egress to third-party models.

High-risk AI apps: Apps with Cisco Umbrella Weighted Risk = High and confirmed DNS activity, indicating training-data retention or weak data handling.

User-app connections: Each connection represents one user account actively accessing one GenAI application. A single employee using five AI tools counts as five connections.

Vendor sprawl ratio: Unique vendors ÷ total apps. Values approaching 1.0 indicate no consolidation — users are picking entirely disparate tools.

Low risk: Limited GenAI use; sanctioned tools with enterprise data agreements; minimal outbound; no shadow AI.
Medium risk: Moderate adoption; some sanctioned tools but visible shadow AI; outbound in hundreds of MB; modest sprawl.
High risk: Extensive adoption with significant outbound, vendor sprawl, and uncontrolled experimentation. Active data egress likely without inspection or audit trail.
TECHNOLOGIES · AI RISK ASSESSMENTPAGE 1 OF 5
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Meet the team that runs your SOC.