Deterministic, explainable AI purpose-built for SecOps

Exaforce’s multi‑model architecture (Semantic, Behavior, and Knowledge Models) makes LLM‑driven decisions predictable, auditable, and aligned to your business, cutting noise while raising confidence across detection, triage, investigation, and response.

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How multi‑model AI makes LLMs ready for production

Each model contributes a specific competency, relationships, patterns, and knowledge, so your team gets repeatable outcomes, not brittle prompts.

Exaforce Multi-Model AI Engine showing Semantic, Behavioural, and Knowledge Models

Deterministic outcomes you can defend

Multi‑model AI replaces ad‑hoc prompting with governed reasoning. The Semantic Model anchors every decision in a graph of identities, resources, and actions; the Behavior Model scores risk against learned baselines; and the Knowledge Model explains why an outcome was chosen. Results are consistent, repeatable, and easy to audit.

See behavior shifts before they are a real problem

The Behavior Model continuously evaluates patterns and variance across sessions, geographies, devices, and service principals. When activity deviates from what’s normal for a user or resource, it’s flagged with context so your team can act early and see fewer false positives.

Context that knows your business

The Knowledge Model understands business policies and operational normalities. It translates high‑level intents (e.g., “confirm off‑hours admin access to prod”) into atomic checks against the Semantic and Behavior layers, then returns a plain‑English summary with links to evidence, so decisions make sense to analysts and auditors alike.

Governable by design

Models operate within your guardrails. Data scope is explicit, external knowledge is curated, and all steps are logged. You get human‑like interaction focused only on your business and operational needs, not a general‑purpose chatbot.