Autonomous security agents

Your AI stack moves fast.
We secure it, continuously.

Kira tests your AI stack end-to-end and delivers verified, exploitable findings, not alerts to triage.

Findings already patched by Microsoft, Hoppscotch, Ghost, LiteLLM, Redash, and more.

No extra hires. Findings in hours, not quarters.

The same AI that ships your code ships your vulnerabilities.

Attackers scan GitHub issues, open source changelogs, and dependency lists looking for AI companies with exposed endpoints and no security function.

<1 hr

From a public GitHub issue to a working exploit. Attackers move faster than your engineering backlog.

2.74x

More vulnerabilities in AI-generated code than hand-written. The faster your team ships with AI, the wider the attack surface.

100x

Reduction in exploit development cost with LLMs. Every vulnerability your AI stack ships is cheaper to weaponize than ever.

What we do

Find. Fix. Prove.

Find Risks

Real attack paths through your entire AI stack. Not generic alerts.

Fix Risks

Every finding ships with a fix. Pull requests, not PDFs.

Prove It

Verified findings and exploit evidence ready for prospects, auditors, or your board. We do the work. You have the proof.

Start Assessment →

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 tools still think you’re building a CRUD app.

Traditional SAST 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.

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

$15k 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.

Quarterly Pentest

$15k/quarter

One snapshot every three months. Findings arrive 15 days later. Your team ships every day in between.

Senior Security Hire

$250k+/year

9 months to hire. One person against ten 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.

Get ready for
enterprise customers.

Your security function from first commit to first enterprise deal.