Cisco’s #1 global Managed XDR partner 2,500+ organizations secured
Our integrations
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Find what is outdated, expired, and exploitable before a model does — then close the gap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 + Splunk
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 runsuccess
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.”
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.
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.
AI RISK ASSESSMENT REPORT