Not Built to Assist.
Built to Think.
This isn’t automation wrapped in hype. OmniSense is a fully layered AI-native architecture designed to reason, act, and self-evolve autonomously across your entire security operation.

Agents that get smarter with time. Trained through reinforcement learning in simulated SOC scenarios, Reflex helps the platform evolve based on experience, not rules.
A live, persistent knowledge graph that connects alerts, users, assets, threats, and historical outcomes, enabling agents to reason across incidents
OmniSec LLM is a cybersecurity-focused language model trained on security data, enabling it to understand and act on threats, assets, and context, unlike generic models.
The agentic brain of the SOC.
Coordinates modular AI agents like an orchestra conductor: managing triage, enrichment, remediation, and more, with zero hardcoded logic.
Sara is an conversational agent that enables natural language interaction with SOC agents, tracks MTTR, SLA, and workload, and provides real-time summaries and insights on high-risk assets and threats.
The Metrics of a Thinking SOC
See how intelligence at every layer drives security operations forward.
0
Reduction in MTTD
Lightning-fast threat identification.
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Faster MTTR
From chaos to control in minutes.
0
Autonomous Actions
Routine tasks handled by AI.
0
ROI Increase
AI-powered. CFO-Approved.
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The future of AI SecOps starts here.
