AI-native exposure management

Security

by decision

Onit replaces repeated triage, ownership guessing, and manual resolution. One decision. Continuous execution.

Three stylized leopards with glowing patterns run through shattered rocks against a solid orange background. Three stylized, glowing orange leopards with abstract markings walk across jagged rocks against a solid orange background.

Your teams are stuckโ€จin Task-Based Exposure Management

Your program is built to close tickets, not reduce risk.

Perpetual triage & prioritization

Your teams triage the same exposures again and again, while priorities are endlessly reshuffled instead of resolved.

Ownership paralysis

โ€œWho owns this?” debates delay action while vulnerabilities remain unpatched.

Tickets, not fixes

Platforms create workflows and route tickets โ€“ but your team still does all the actual remediation work manually.

Decision-Based Exposure Management

Decision-Based Exposure Management replaces task-heavy vulnerability workflows with a decision engine that executes automatically. One decision resolves thousands of exposures. The backlog stops compounding.

The Decision-Based โ€จExposure Management platform

End the backlog by replacing assessment, prioritization, and resolution with an agentic-native process built on decisions.

Decision surfacing

Onit maps thousands of exposures to surface the few decisions that drive resolution.

Impact assessment

Ranks each exposure by what’s actually exploitable in your environment, not just severity scores.

Owner assignment

Onit resolves the right owner from your CMDB, ticketing, and comms. No bounce-back.

Continuous resolution

Decisions become persistent operating rules. Similar exposures resolve automatically, without human re-engagement.

Dashboard showing new security decisions, highlighting Apache Struts RCE vulnerability with 157 hosts, high exploitability, and available patch and WAF actions. Risk reduction metrics displayed.
Dashboard showing Apache Struts RCE risk with minimal business impact, mitigation stats, and option to deploy WAF rule; illustrated figure in lower right corner.
Dashboard showing Apache Struts RCE decision owners, with 3 identified and 2 missing, plus detailed info on current owners and their validity scores. Illustration of a purple animal on the right.
Dashboard displaying decision alerts, a circular performance chart with high, medium, low ratings, and a list of top-performing decisions, alongside a stylized leaping tiger illustration.

Works with your existing stack

No rip-and-replace required.

Collapse thousands of exposures โ€จinto a few decisions

Red-orange circles and lines are scattered randomly on a light gray background.

Exposures and tasks

Onit analyzes thousands of exposure cases across your org to pinpoint where human action is repeatedly required.

Abstract pattern of red and pink circles and lines scattered on a light gray background.

Decision surfacing

Onit collapses those repeated โ€จinterventions into a small set of upstream human judgments to be made.

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Decision fabric

Once made, those decisions are integrated across Onitโ€™s entire agentic system as living operating rules.

A purple and orange panther with geometric patterns on its body is walking forward against a white background.

Continuous resolution

When similar cases arise, those decisions spring into action to direct resolution, without humans ever needing to engage tasks again.

Resolve. Don’t re-solve.

Less repeat triage. Faster remediation. Lower exposure.

Time to break the cycle.

Enterprise scale, flat headcount

Small security teams cover more ground without growing the team.

Months to hours MTTR

From an industry average of 243 days to hours of resolution.

Fewer coverage gaps

AI agents keep exposures from falling between tools and owners.

Decision makers speak

โ€œWhat took an entire team a month of time to do before can now be done in minutes with Onit.โ€

Chase Carpenter CISO

โ€œOnit’s innovative approach […] allows our team to make very concise decisions and then execute on those decisions. So the amount of effort that’s now going to require them to drive those patching cycles has significantly reduced.โ€

Derek Hardy CISO

โ€œFor years, the hardest part wasnโ€™t finding vulnerabilities – it was understanding their impact, assigning the right ownership, and actually getting them fixed. Onit connects the dots across tools, enriches findings with real context, and drives end-to-end remediation. It eliminates the manual churn and finally turns vulnerability management into measurable risk reduction.โ€

Vishvander Singh Sr. Manager, Cyber Security
A man with long wavy brown hair, light facial hair, and blue eyes looks directly at the camera against a gray, textured background.

โ€œFifty percent of remediation tasks bounce back because ownership is wrong. Another thirty percent stall because no one knows the right fix path for that environment. I’ve lived this at every organization I’ve led. Onit is the first platform that eliminates both problems.โ€

Oran Hollander Chief Security Officer
A man with light brown hair and a short beard is wearing a light gray jacket, standing outdoors with a clear sky in the background.

โ€œThe industry has become great at telling you what’s wrong, but nobody tells you how to fix it. We’ve seen the evolution from legacy scanners to Risk-Based Vulnerability Management and beyond, and remediation has always been where progress stalls. Onit Security changes that equation.โ€

Gur Talpaz GP, Brightmind & former SVP, CrowdStrike

Decide once. Resolve forever.

Humans define judgment. Agents execute. Progress compounds โ€“ it never resets. Ready to end the backlog?

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