Artificial Intelligence in GLAIM: Assisted Suggestions and Pentest AI
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Use cases · Artificial Intelligence

AI that suggests, the analyst decides.

GLAIM uses embeddings to assist finding classification and compliance matching, and integrates agnostically with third-party autonomous-pentesting solutions.

Assisted suggestionIllustrative example
T1190 · Exploit Public-Facing Application
Suggested by semantic similarity
87% confidence
T1078 · Valid Accounts
Suggested by semantic similarity
74% confidence
Pentest AI · Autonomous pentesting
12 findings imported from the operation
Connector
Assisted suggestion. The analyst confirms every classification.
Real capabilities

Where AI fits in today, without overselling it

Every piece described here is real and verifiable in the product. None of them decides for you, all require human confirmation.

Assisted MITRE ATT&CK suggestion

Embeddings against the real technique catalog. The analyst always searches and confirms the final classification.

Semantic compliance matching

Embeddings to relate findings to standard controls when there's no exact CWE match.

Vulnerability enrichment

Automatic cross-reference with public exploit databases and active-exploitation catalogues. Real external data.

Agnostic Pentest AI integration

Imports results from third-party autonomous-pentesting solutions (its own connector category, not tied to one brand). GLAIM never launches or controls those operations.

Threat landscape

Translates active vulnerabilities into real MITRE ATT&CK tactics using the same embedding engine.

Always a human decision

None of these pieces prioritizes or decides autonomously. All are assistance, with analyst review.

AI that assists the analyst, without replacing their judgment.

Try the assisted suggestion on a real finding.