AI Threat Detection and SOC Integration 

Agents act faster than a SOC can review them, and AI compromise looks different from human compromise, which is why detection built for people may miss it.

Fortytwo helps you design and enable threat detection, visibility, and SOC escalation for AI workloads, agents, and unsanctioned GenAI usage.

The Challenge


A part of the problem is volume.

Agents generate more activity than a traditional queue is built to handle, and non-human identities are increasingly turning into an attack surface, with many identities often going unmonitored.

Credential misuse, prompt-injection indicators, and malicious automation can hide in the noise, and detection built for human accounts may not catch them.

The Solution

AI threats, surfaced to your SOC.

Fortytwo helps you: 

Enable Defender for AI-relevant resources where supported.
Discover and risk-score Shadow AI usage. 
Define AI-specific threat scenarios
Design alert-to-incident escalation into Sentinel.
Establish SOC ownership.
Design response boundaries for AI incidents.

What We Deliver


Key Outcomes:

AI-related threats are detected and surfaced to the SOC, while shadow AI usage becomes more visible and is also risk-scored. Security teams receive actionable incidents, and the organization’s AI security posture is integrated into existing SOC operations.

AI Threat Detection Design 

Threat detection and monitoring design for AI-relevant resources: Foundry, identities, and APIs where applicable. 

Shadow AI Discovery Model 

Discovery and risk-scoring of unsanctioned GenAI usage, surfaced as governance signals. 

SIEM Signal and Incident Taxonomy 

AI incident taxonomy and severity thresholds, with baseline SIEM ingestion for AI security signals. 

Defender-to-Sentinel Correlation 

A correlation model that turns AI-relevant detections into SOC incidents the team can act on. 

How It Works

We start with a current-state discovery, assessing your environment, identifying gaps, and defining next steps for governance, identity, and architecture.

Then Defender for AI resources is enabled where supported, the threat scenarios and incident taxonomy are defined, and escalation into Sentinel is designed.

Your SOC owns response and we help define the boundaries and the correlation model.

Related Services

Governance and Risk
Agentic ID
Audit and Monitoring
MCP
FREQUENTLY ASKED QUESTIONS

FAQ

CURIOUS TO LEARN MORE?

Talk to Us

Get in touch if you want to discuss your challenges or questions. 

Make AI activity visible to the people who already do this work. 


Harri Jaakkonen
Principal Security Engineer 
oi.owtytrofobfsctd-1dc160@nenokkaaj.irrah 

Make AI activity visible to the people who already do this work. 

Harri Jaakkonen
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