Ontic has released Ontic AI, a set of capabilities within its Connected Intelligence Platform that helps corporate and government security teams analyze information, identify patterns, and reduce time spent on routine review. The announcement came September 15, 2026, as the company showcases the technology at GSX 2026 in booth #3323. For security operations teams buried in fragmented feeds and point solutions, the tools aim to surface connections that might otherwise go unnoticed while keeping human judgment at the center of every decision.
"AI initiatives often start with the model. We believe they should start with the context of the security operation," said Nitin Navare, Chief Product and Technology Officer at Ontic. "Ontic already connects the people, signals, incidents, investigations, and history that shape security decisions. Ontic AI builds on that foundation to make routine work easier and surface connections teams may not otherwise see."
What Ontic AI includes
The new capabilities address several friction points common in security operations. Summaries, available now, turn intelligence feeds, research, entities, incidents, and investigations into clear, shareable overviews. Trends, also available now, group related signals so analysts can recognize events and narratives as they develop rather than piecing them together manually.
Three additional features are expected by the end of 2026. Chat lets teams explore Ontic data and ask questions using plain language. Deduplication groups repetitive signals, which helps analysts focus on meaningful new developments instead of sifting through noise. Copilot surfaces relevant changes, history, and potential next steps during triage - analysts review the suggestions and retain control of every decision.
Context over isolated signals
Security information often lives scattered across feeds, files, point solutions, and internal systems. Ontic said its platform connects this data so AI-generated insights incorporate relationships involving protected executives, previous incidents, active investigations, and critical locations. Rather than evaluating individual signals in isolation, teams can apply AI with context from their broader security programs.
Ontic also emphasized that it does not use client data to train or validate models for the benefit of other organizations. Existing permissions and privacy controls within the platform continue to apply. Analysts review AI-generated outputs and make final decisions - the system is designed to support professional judgment, not replace it.
"Ontic AI helps our team make sense of far more information than we could reasonably review on our own," said the Director of Investigative Services at a Fortune 250 Business Services Company. "By bringing relevant context and patterns forward in the platform we already use, it lets our analysts focus where professional judgment matters most."
Why this matters for operations teams
For operations professionals managing security workflows, the practical shift is from manual triage to directed attention. Deduplication and automated summaries cut the volume of repetitive review, while Copilot and Trends surface patterns that might take hours to assemble manually. The Chat capability lowers the technical barrier to querying connected data, which means analysts spend less time building searches and more time acting on findings. The tools sit inside an existing platform rather than requiring a separate system, so adoption does not demand a rip-and-replace of current workflows. Operations leads evaluating these capabilities should weigh how much analyst time currently goes to signal review, how quickly patterns are spotted today, and whether context from past incidents is consistently available during triage. For teams already working within the Ontic platform, the additions arrive as a native upgrade - no new integration overhead. For those building or refining in-house security operations programs, the approach offers a reference point for how AI can augment human analysis without handing off decision authority. Those exploring AI for Cybersecurity Analysts will find the pattern recognition and triage support directly applicable to the operational challenges Ontic AI targets.
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