Security for AI-powered teams

AI writes your code.
Who secures it?

AI-powered teams ship fast and accumulate security debt. Kira reviews your codebase, traces real attack paths, and delivers verified findings before attackers find them.

Run it on your repo →

No agents to deploy. Findings in hours. No extra hires.

The same AI that ships your code ships your vulnerabilities.

Unpatched vulnerabilities cost more than a fix. They cost enterprise deals, compliance certifications, and customer trust. Attackers know AI teams move fast and scan for the gaps.

<1 hr

From public disclosure to working exploit. Attackers don’t wait.

2.74x

More vulnerabilities in AI-generated code than hand-written.

100x

Cheaper to build an exploit, thanks to LLMs. Every bug you ship is a cheaper target.

Meet Kira

Deep security expertise, at your team’s speed.

Finds what surface scanners miss. Scales senior security expertise across everything you ship.

Find

Traces attack paths across files, services, and dependencies. Catches the hard-to-find issues surface scanners never reach.

Fix

Every finding comes with remediation prompts your developers act on immediately.

Audit

Verified findings and posture clarity. Ready for auditors, prospects, or your board.

In their own words

Trusted by people who break things for a living

Kira outperformed Snyk Enterprise in my evaluation, identifying 10 real security issues in a codebase where Snyk Enterprise reported none. The detailed reports and AI-powered fix recommendations make it genuinely valuable for security engineers and developers alike.

Harshit

Senior Product Security Engineer III

Zeta

01 / 04

Most tools show you a finding. Kira shows you the path an attacker walks to exploit it. The attack chain visualization is genuinely different, and the live simulation lab makes it undeniable. This is what security tooling should feel like.

Bakul Gupta

Product Security Engineer

02 / 04

I designed a purpose-built test bench to stress-test Kira: 30 planted vulnerabilities, from obvious misconfigurations to business logic vulnerabilities. Kira found all 30. Several would have slipped past a standard human review. For teams stretched thin on security headcount, this isn't just useful. It's a multiplier.

Raghavendra

Principal Security Engineer

ex-Atlassian

03 / 04

Kira found connected issues across files and explained them with remediation guidance, not just alerts. The pickle deserialization finding was especially good. The remediation workflow asking the model to verify, make minimal fixes, check for regressions, and confirm the exploit is fixed is exactly how security tooling should work.

CS

Principal Threat Research Engineer

Security Researcher

04 / 04

Autonomous Product Security

Most scanners still think you’re building a CRUD app.

Traditional security tools were designed for CRUD apps. Your infrastructure looks nothing like that.

LLM API Exposure

Unauthenticated endpoints leaking API keys and tokens. Found in production.

CVE · Cognithor ↗

Unsafe Model Loading

.pkl and checkpoint files executing arbitrary code on load, before your app starts.

CVE · Microsoft VibeVoice ↗

Agent SSRF

Tool calls and webhooks reaching internal metadata services and private networks.

CVE · Ghost, Redash ↗

Framework Trust Gaps

Pydantic silent drops and FastAPI mass assignment enabling cross-tenant privilege escalation.

CVE · LiteLLM ↗

We run security. You run your company.

No gaps.

Every commit. Every attack path. Every exploit validated before it ships.

Close the deal.

Verified findings and exploit chains ready for procurement, your board, or auditors.

Know where you stand.

What's critical. What can wait. How to fix it. No questionnaires. No theater.

Want human expertise alongside Kira?

Our security researchers plug in for deeper investigations and consultation on your product security needs.

Token-efficient

·

Model-agnostic

·

BYOK optional

What they said when Kira found vulnerabilities in their codebase

"Thank you for the thorough and responsible report. Thanks again for helping us improve the security of VibeVoice."

Microsoft · VibeVoice patch: commit 4a78d3e ↗

"I really appreciate your work, detailed report, the fix has landed."

Founder, Cognithor

patch: v0.78.2 release ↗ Read report ↗

Cofounder, Orbrick

We pointed Kira at our codebase the way a red team would. It did not just surface warnings. It mapped out full attack paths, showed us the blast radius, and prioritized what actually mattered. Our teams move fast and ship often. Kira fits that rhythm without slowing us down. That is rare for a security tool.

The Old Playbook

$50k pentests. $250k hires. Neither covers your AI stack.

So they rely on quarterly pentests, hope their engineers catch issues, and lose enterprise deals to competitors who have real security evidence.

Annual Pentest

$50k/engagement

One snapshot a year. Findings arrive two weeks later. Your team ships hundreds of commits while you wait for the report.

Senior Security Hire

$250k+/year

9 months to hire. One person against a hundred engineers shipping AI-generated code daily.

Lost Shipping Velocity

Weeks

Manual review queues, security back-and-forth, and blocked deploys. The price every release pays for the old model.

Broken Protection

Until breach

Legacy scanners trained on hand-written code miss the bug patterns AI assistants generate.

With Offgrid: real security, real evidence, in days.

Know where your risks are.
Before attackers do.

Classic vulnerabilities. AI-specific attack classes. Verified exploits. We find it all so you can fix it before it becomes a breach, a failed audit, or a lost deal.

Try it yourself →

Pricing tailored to your stack and team size, covered on the call.

AI writes your code. Who secures it?