AI Risk Classifications in Scout
AI systems now cause their own incidents: impersonation, agent errors and leaked data. Scout classifies the public reports of them.
AI Risk Scenarios Scout Classifies
Scout labels content with these AI risk classifications across 40+ languages.
AI Impersonation
Synthetic media impersonates a real person
AI Agent Error
An autonomous agent causes consequential error
AI Data Breach
AI data, conversations, or model assets are exposed
AI Guardrail Bypass
Safety controls are deliberately circumvented
AI Output Failure
Authoritative AI output causes real harm
These are a sample of the AI risk classifications, part of 1,400+ classifications across 20 risk categories.
Why Teams Monitor AI Risk
A classification flags content for an analyst to review.
AI Risk events often appear online before anyone reports them internally
Repeated scenarios show where risk concentrates, by site, product or supplier
A specific classification sends the alert to the team that owns it
AI Risk: From Alert to Case
The Scout alert is the starting point. The risk category tells the investigator which people, places and things to establish first.
How the ChatGraph™ AI graph builder works- Scout alert: AI Impersonation. Your team uses Nexus to establish which accounts posted the synthetic media, where it first appeared, and what the real person has said.
- The analyst directs ChatGraph, which researches the people, places and things involved and writes them into the case with the sources it used.
- Each link is marked established, alleged, not established or denied.
- Entities the case turns up can go on a Scout monitor for the specific risk.
Teams That Watch AI Risk
These teams use AI risk alerts to act before a problem reaches their people, sites or operations.
- Security, risk and intelligence teams
- Legal, compliance and operations leaders
- Analysts who monitor and investigate
How DigitalStakeout Delivers AI Risk Intelligence
Continuous collection from web, social and dark web sources and your own data, in 40+ languages
AI classification by DARIA across 1,400+ risk scenarios including AI impersonation, AI agent error, AI data breach
Alerts by email, webhook or API, with controls that limit alert fatigue
Nexus deep dive with ChatGraph, which researches the event and builds the case graph with a source and a status on every link
Explore Other Risk Categories
DARIA classifies threats across 20 risk categories. AI Risk is one dimension of a unified risk intelligence platform.
Product Risk
Product safety, quality and customer harm
Workforce Risk
Staffing, conduct and workplace safety
Physical Security
Threats to people, executives and facilities
Cyber Security
Breaches, attacks and exposed data
Legal Events
Lawsuits, regulatory action and compliance events
Reputation Management
Public criticism, misinformation and brand pressure
AI Risk FAQ
See AI Risk Intelligence in Action
Watch how DigitalStakeout detects and classifies AI risk threats across 1,400+ scenarios, in a live demo.
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