Ship code that already
survived the attack.
FlawDetector is the AI-native application security platform that finds vulnerabilities, writes the fix, and proves it works — with an autonomous Red Team vs Blue Team loop running on FlawDetector-LLM V1.0.
No credit card · 5-minute setup · In-house test reports included
Adversarial Loop
Round 3 running on main
acme / checkout-service · main
Scan #1024 — 1,842 functions analyzed
2
Critical
5
High
11
Medium
17
Patches ready
Repositories scanned
Detection rate, V1.0 benchmark
False-positive rate
Median full-repo scan
Trusted by security teams shipping in production
Product walkthrough
From raw repository to sealed release
Three stages, one pipeline. Every screen below is the actual product — not an illustration.
01 · Detect
Your whole repository, read function by function
Connect a repo and FlawDetector chunks it into analyzable units, runs each through FlawDetector-LLM V1.0, and triages every finding by severity, CWE and OWASP category — in under a minute for most codebases.
Adversarial Loop
Round 3 running on main
acme / checkout-service · main
Scan #1024 — 1,842 functions analyzed
2
Critical
5
High
11
Medium
17
Patches ready
02 · Fix
A patch you can merge, not a ticket you park
Every finding ships with an explanation in plain language and a merge-ready diff. Apply it in one click, or open it as a pull request with full context for your reviewers.
SQL injection via unsanitized query param
username flows into a raw f-string query. Red Team confirmed extraction of the users table in round 2. The patch below parameterizes the query — verified to kill the exploit in round 3.
03 · Prove
Audit-grade reports, every single run
Each scan is stored, diffable against history, and exportable as an audit-grade report — the same evidence pack behind our in-house test reports.
Security assessment report
acme / checkout-service — 2026 Q3
Protocol FD-TC-01 · 1,000-trial repeated benchmark · evidence pack attached
A
92/100
Findings sealed
35 / 35
Loop rounds
4
Residual risk
Low
NEWNew in V1.0
Two AIs. One war room.
Zero standing vulnerabilities.
The Adversarial Patch Loop pits an AI Red Team against an AI Blue Team inside your CI. Red attacks like a professional pentester. Blue patches, hardens, and re-arms. The loop only stops when the exploit stops working.
▸standing by…
── round start · target: api/auth ──
AI Red Team
- Plans multi-step exploit chains like a human pentester
- Probes injection, auth bypass, SSRF, path traversal
- Escalates with context from every failed attempt
AI Blue Team
- Generates the minimal patch that kills the exploit
- Hardens configs and adds regression guards
- Re-runs the exact attack to verify the seal
Every round is recorded — attack path, patch diff, verification log — so your team reviews outcomes, not alerts.
Watch the loop on your repo→Core platform
Everything a security team ships with
The complete FlawDetector engine — the foundation the Adversarial Loop is built on.
Whole-repo LLM audit
Intelligent chunking walks your entire codebase and analyzes each function in context, not just diff hunks.
Severity triage
Critical to Low, mapped to CWE and OWASP Top 10, deduplicated and ranked by exploitability.
Merge-ready fixes
Concrete patch diffs with plain-language rationale — apply in one click or open as a PR.
CI/CD & CLI
Gate merges in GitHub Actions, GitLab CI or Jenkins. Full-fidelity CLI for local and air-gapped runs.
Scan history & drift
Every result stored and diffable. See exactly which release introduced — or sealed — a flaw.
Multi-model engine
FlawDetector-LLM V1.0 first, with GPT and Gemini fallbacks — routed per language and finding class.
Audit-grade reports
Export Markdown or PDF evidence packs formatted for auditors and customers.
Polyglot coverage
Python, JavaScript/TypeScript, Java, Go, C# and more — one pipeline for every service you run.
Real-time monitoring
Watch your attack surface, as it changes
Every push triggers analysis. Findings stream to the dashboard the moment they're confirmed, and alerts reach your team where they already work.
Push-triggered scans
Webhooks kick off analysis on every commit — no scheduling, no stale results.
Live findings feed
Confirmed findings stream in real time with severity, owner and suggested patch attached.
Alerts that route themselves
Critical findings page the on-call; everything else lands in Slack or email digests.
FlawDetector-LLM V1.0
Measured. Repeated. Certified-lab ready.
V1.0 performance was measured across 1,000+ repeated trials on public and private vulnerability corpora, with bottleneck analysis feeding directly into the engine roadmap.
94.7%
Detection rate
Across OWASP benchmark suites
3.2%
False positives
After dedup & exploitability ranking
99.1%
Run-to-run consistency
1,000+ repeated trials
2.4×
Throughput roadmap
From bottleneck analysis, V1.1
RULESET
In-house test criteria, built into every scan
Injection, auth bypass, misconfiguration, weak cryptography and more — run multiple vulnerability rulesets in a single pass, every item maintained against our in-house test criteria.
Pricing
Start free. Scale when it proves itself.
Every plan includes the full detection engine and merge-ready fixes.
Starter
For individual developers and open source.
Start free- 3 repositories
- Weekly full-repo scans
- Severity triage & fix suggestions
- Community support
Team
For product teams shipping continuously.
Start 14-day trial- Unlimited repositories
- Push-triggered scans & live monitoring
- Adversarial Red vs Blue patch loop
- CI/CD gates, Slack alerts, PR fixes
- Scan history & drift tracking
Enterprise
For regulated and air-gapped environments.
Talk to sales- On-prem / VPC deployment
- SSO, SCIM & audit logs
- In-house test reports & report service
- Dedicated security engineer
Docs & resources
Built by engineers, documented like it
Documentation
Enterprise
Talk to a security engineer, not a form
Tell us about your stack and compliance targets. We respond within one business day — usually with a scan of your public surface already done.