NOMINATION HIGHLIGHTS

Most “AI-powered” security tools added a chatbot to a dashboard. Onit Security was built agent-native from the first line of code, and it points agentic AI at the problem where autonomy matters most: not finding exposures, but fixing them.

Security teams have never been better at detection, or worse at resolution. Vulnerability exploitation is now the #1 breach entry vector (2026 Verizon DBIR), while remediation still runs on human time: tickets, triage, ownership debates. Onit created a new category, Decision-Based Exposure Management, to end that model. A security leader makes one decision about an entire class of exposures. AI agents then execute it, across every matching exposure open today and every one that appears in the future. Decide once. Resolve forever.

What the agents actually do:

Reachability and exploitability agents test each finding against the live environment and prove whether it is actually attackable, with evidence, before it consumes human attention. Most findings are proven not to be.
Ownership agents infer the true owner from live signals: code commits, ticket history, communication patterns. This ends the bounce-back problem, where roughly half of remediation tickets go to the wrong person.
Decision agents cluster exposures that resolve together and present one recommended decision with full rationale, affected assets, and owners attached.

Resolution agents drive the approved fix to verified closure: right owner, right guidance, reminders, escalation, compensating mitigations when no patch exists.

All agents reason over one organizational knowledge graph built from 100+ API integrations. No endpoint agents, no new attack surface.

Just as important is what the agents may not do. Humans approve every consequential decision before agents act. Every action is logged with its rationale and reversible with one-step rollback. Onit holds SOC 2 Type II, ISO 27001, and ISO 42001, the international standard for AI management systems, making it one of the few agentic security platforms whose AI governance is independently certified. Humans define judgment. Agents execute.

The results: Onit works with Fortune 500 companies including Honeywell and Marvell. Its largest deployment manages 50+ million active exposures across roughly 700,000 assets, operated by a team of about 20, with resolution time reduced from months to hours. Agentic AI is security’s most crowded claim. Onit is what it looks like in production.