Cybersecurity Intelligence Built for Better Decisions.
AI agents that help security teams decide what to fix, and check whether the fix worked.
Kodaowl is an AI-native security intelligence platform. Its agents are designed to weigh the findings your existing tools produce against your environment, and to show the evidence behind each recommendation.
People still make the consequential calls.
Who we are
Kodaowl was founded by cybersecurity professionals with decades of experience in security operations, vulnerability management, cyber risk, governance, cloud security and cyber insurance.
They know what enterprise security teams deal with every day: too many findings, competing priorities, growing backlogs, work that crosses team lines, and no easy way to show that a fix reduced risk.
Security tools are very good at finding problems. Kodaowl is for what comes after: deciding what matters, what to do about it, and whether it worked.
Our mission and vision
Our mission
We want security teams to spend their time on the risks that matter, fix them sooner, and know whether the fixes worked.
Over time, security stops being a count of findings and closed tickets and becomes a record of what was observed, decided, done and checked.
Our vision
A future where cybersecurity decisions are driven by intelligence, evidence, and confidence.
We envision cybersecurity operations in which organizations can move beyond fragmented security tools and overwhelming vulnerability data toward a more unified, intelligent, and continuously improving approach to managing cyber risk.
The challenge and our approach
Finding risk is only the beginning
Security teams already see a great deal across infrastructure, applications, cloud, identities and threats. Finding vulnerabilities isn’t the hard part anymore. The hard part is deciding which ones matter, what to do next, and whether the fix improved anything.
Kodaowl is designed for that gap. It brings the evidence, your organization’s context, prioritization, remediation and validation into one place.
From findings to verified outcomes
- Find the exposures that deserve attention.
- Rank them by context and likely impact, not by severity score alone.
- Recommend a fix.
- Coordinate the work across teams and systems.
- Check whether the fix changed the security condition.
- Keep the evidence, so you can show what changed.
Kodaowl is designed to work alongside the security tools you already own.
Our core values
AI accelerates the work. Evidence supports the conclusion. People remain accountable.
Evidence before assumption
A conclusion needs evidence. Tool output, a workflow status or an AI confidence score isn’t enough on its own.
Context before severity
We weigh risk in its business, technical, operational and threat context, not by severity score alone.
Transparency before certainty
Assumptions, confidence, data quality and gaps stay visible, so your team can see what a conclusion rests on.
Governance before autonomy
Agents speed up the work. Consequential actions still go through your policies, approvals and people.
Verification before closure
A closed remediation ticket isn’t a security outcome. We check whether the underlying condition actually changed.
Security measured by outcomes
Know what matters. Act on what matters. Verify what changed.
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