Protective intelligence platform provider Ontic announced the launch of Ontic AI, a suite of artificial intelligence capabilities embedded within the Ontic Connected Intelligence Platform. Designed to streamline administrative workloads for corporate and government security teams, the solution synthesizes massive volumes of security data, uncovers hidden threat patterns, and minimizes routine manual reviews by executing AI queries within an organization’s existing operational data and threat history.
Security intelligence frequently sits isolated across disparate data feeds, internal files, point solutions, and legacy management platforms. In isolation, a single threat indicator offers little actionable value without understanding how it connects to a protected executive, a prior security incident, an active investigation, or a high-risk facility. Ontic AI addresses this fragmentation by unifying operational data, ensuring that generated insights carry the complete contextual backing required for rapid threat assessment and incident response.
“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.”
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Purpose-Built Capabilities for Modern Security Workflows
Ontic AI is engineered around the core functional tasks that security analysts perform daily:
Summarize Complex Information: Transforms raw intelligence feeds, field research, entity records, incidents, and active investigations into concise, shareable intelligence overviews.
Identify Developing Patterns: Groups related signal inputs to help analysts spot emerging threat narratives and trends as they evolve.
Plain-Language Data Queries (Chat): Allows security teams to explore data repositories and extract operational insights using conversational natural language.
Reduce Repetitive Review (Deduplication): Groups redundant threat signals automatically, freeing analysts to focus on net-new security developments.
Bring Context into Triage (Copilot): Surfaces historical precedents, critical changes, and suggested remediation steps while keeping human analysts in total operational control.
“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.”
Human-Centric Governance and Data Privacy Standards
Ontic AI is designed to augment, rather than replace, human expertise. Security analysts evaluate all AI-generated outputs and retain final decision-making authority over all security responses.
In order to stay compliant with high enterprise security requirements, we do not use client data to train or validate AI models that are not part of Ontic. Also, all AI workflows will follow the role-based permissions, data governance, and privacy settings that have been set up in Ontic already.