Meet Ontic AI: Built on Connected Intelligence
A closer look at the foundation behind Ontic AI and what it makes possible for security teams
A few months ago, during a conversation with a client, we heard a question we’ve now been asked dozens of times: “What’s your AI strategy?”
It’s the right question. But every time we sat down to answer it, we realized we needed to answer a different one first: What should AI actually help a security team accomplish?
Security teams don’t need another AI feature added to their technology stack. They need technology they can trust while assessing threats, investigating incidents, protecting executives, and responding to unfolding events. Solving that challenge has very little to do with selecting a model and everything to do with giving AI the data and operational context it needs to reason the way a security professional does.
That became the guiding principle behind the AI we are building into the Ontic Connected Intelligence Platform.
Today, we’re bringing to life what Ontic has always been building toward. From the start, the bet was that AI would only be trustworthy in security work if it sat on connected data and real operational history — not on documents and guesswork. That’s the harder thing to build, so we built it first. Now that the foundation is there, Ontic AI sits inside the workflows your team already uses, so you move through information faster and spend your attention where it matters.
Building the foundation
The Ontic mission — to keep people safe and make organizations stronger — has always been rooted in the idea of bringing the data, procedures, and context behind security decisions into one connected environment.
That foundation has taken shape through practical investments across the platform over time, each designed to give security teams a more complete view of what’s happening and a more connected way to respond. We’ve brought incidents, investigations, workflows, and historical context into a shared operational record; expanded the external intelligence you can use to understand emerging risk; integrated more of the systems and data you use every day; and built capabilities that carry that context through to response.
Each of these investments solved an immediate need for security teams while strengthening the connected operational foundation behind the platform. Today, that same foundation gives Ontic AI access to the relationships, operational history, and context it needs to understand information more completely, surface more meaningful insights, and help you recognize emerging risk sooner.
Built for the outcomes security teams actually want
Once you have the right foundation, the next question is where AI can make the biggest difference in a security team’s day-to-day work. When we talked to clients, the answer came through clearly: help us move faster.
They told us they wanted to get oriented quickly as an event unfolds, make sense of more information than they could reasonably review on their own, and recognize meaningful patterns across a growing volume of signals. That feedback shaped where we started with Ontic AI. Today, you can:
- Understand high-volume information faster: Turn complex intelligence, research, entity activity, incidents, and investigations into clear takeaways so you can quickly understand what happened, what changed, and what matters.
- Recognize developing events as they form: See related signals and activity in context, making emerging events and narratives easier to identify as they take shape.
- Get answers from your security data more naturally: Ask questions in plain language to explore relevant information across your security program and quickly get the context you need.
Summaries turn intelligence feeds, research, entities, incidents, and investigations into clear, shareable overviews.
The value becomes especially clear when time matters. Imagine an executive traveling to a city where protests begin to escalate overnight. Your team will have information coming in from news, social media, intelligence sources, previous incidents, and other parts of your security program. Instead of spending the first part of an unfolding event piecing that information together, you can start with a clearer view of what’s happening and how the story is developing. AI will also recommend next steps and, with human approval, take the appropriate actions, helping teams move from insight to action faster while keeping people in control.
That’s the experience we want to create across Ontic: less friction between a new signal and the context that gives it meaning, and a much faster path from understanding what’s happening to deciding what comes next.
This is just the beginning
What’s available today is the start of a much broader evolution. As Ontic AI continues to develop, it will take on more of the work involved in sorting through noise, bringing relevant context forward, and helping you move from understanding a situation to seeing where it may be headed.
Over time, AI will become more deeply woven into the way your security program operates. It can help keep your attention focused on what’s genuinely new, recognize meaningful changes across your environment, surface the history and relationships that matter to a developing situation, and prepare the work that follows. As those capabilities come together, more of the picture can take shape earlier, giving you a better chance to recognize risk while it’s still developing.
Ontic AI will get your team closer to the moment that actually matters: when the signals begin to add up and you can see what they could mean for your organization. The more of that picture AI can assemble ahead of time, the more opportunity your team has to anticipate what’s coming and act before an emerging risk becomes a larger problem.
What won’t change
No matter how AI evolves, high-consequence security decisions will continue to depend on human judgment, experience, and accountability. Ontic AI is designed to keep people at the center, with guardrails and approval workflows that ensure the right information is surfaced for review before critical actions are taken. Over time, we see an opportunity for AI agents to take on more routine actions autonomously within clear parameters set by security teams, extending their capacity while keeping people in control of the decisions that matter most.
That philosophy extends to how Ontic AI is built. Client data is never used to train models for the benefit of other organizations. Existing permissions and privacy controls continue to govern how information is accessed. Teams review every AI-generated output before acting on it, retain final decision-making authority, and every AI insight remains traceable back to the information that produced it.
Trust is foundational to how we build Ontic AI. Every capability starts with the same commitment to transparency, security, and giving your team confidence in the information it uses.
See Ontic AI in action
Ontic AI represents the next step in the Connected Intelligence strategy we’ve been building for years. The capabilities available today help security teams cut through noise, understand what’s happening faster, and spend more time applying their expertise where it matters most.
If you’d like to see Ontic AI in action, we’d love to show you. Reach out to your Ontic account representative or schedule a demo to explore how these new capabilities can support your security program. For additional details on today’s release and what’s coming next, you can also read our launch announcement.
