Decision-Based Exposure Management

Exposure Ingestion and Normalization

• Ingests and deduplicates findings from Rapid7, Qualys, Tenable, Wiz, Orca, Prisma, and other sources
• Correlates exposures to assets, services, and environments
• Groups exposures by root cause and shared remediation paths
• Detects false positives and validates exploitability against compensating controls

Context-Aware Prioritization

• Replaces CVSS-only scoring with contextual reasoning based on exploitability, threat intelligence, attack path reachability, business criticality, data sensitivity, and runtime behavior
• All prioritization outputs are explainable and auditable

Ownership Resolution

• Agents use LLMs to resolve ownership from CMDBs, Jira, ServiceNow, Confluence, Git repositories, and Slack and Teams conversations
• Detects and corrects stale or conflicting ownership automatically
• Guarantees assignment - no exposure goes unassigned

Remediation Execution

• Agents execute full remediation workflows autonomously via Slack, Teams, Jira, ServiceNow, and email
• Recommends alternatives like WAF rules when patching is not immediately feasible
• Every decision persists as an operating rule - when the same class of exposure reappears, it resolves automatically

Institutional Knowledge

• Continuously learns team-specific workflows, historical decision patterns, asset relationships, and ownership changes
• Gets smarter with each remediation cycle - program expertise is never lost when personnel change

Integrations (API-based, no endpoint agents required):

• Vulnerability scanners: Rapid7, Qualys, Tenable, Wiz, Orca, Prisma
• Ticketing and collaboration: Jira, ServiceNow, Slack, Teams, Email
• Asset and identity: CMDBs, cloud platforms, identity systems
• Code and documentation: Git repositories, Confluence

And many others...

Outcomes:

• 100% faster prioritization by eliminating manual coordination bottlenecks
• 10x faster remediation with clear ownership mapping and business stakeholder alignment
• Audit-ready compliance with automated evidence collection for SLA monitoring and regulatory requirements

Security teams define the strategy. Onit handles the rest. With Onit, teams set resolution policies once - which vulnerabilities to patch, which to mitigate, which to accept, and under what conditions. From that point forward, Onit's agents apply those decisions automatically across every similar future exposure, executing the full remediation workflow end to end. No repeat triage. No chasing owners. No starting from zero every sprint.