AI-Native Security

Your Team Fixes 5 Vulns/Week Manually.

AI fixes 500/month. Claude analyzes your codebase context, generates secure fixes, and creates Pull Requests — so your developers ship features, not security patches.

Start Fixing Watch Demo

What AI Fixes

Real before-and-after code. Not templates — context-aware patches.

SQL InjectionCRITICAL

-cursor.execute(f"SELECT * FROM users WHERE id={user_id}")

+cursor.execute("SELECT * FROM users WHERE id=%s", (user_id,))

Cross-Site ScriptingHIGH

-element.innerHTML = userInput;

+element.textContent = userInput;

Hardcoded SecretCRITICAL

-API_KEY = "sk-proj-abc123def456"

+API_KEY = os.environ.get("API_KEY")

Weak CryptoHIGH

-hashed = hashlib.md5(password.encode()).hexdigest()

+hashed = bcrypt.hashpw(password.encode(), bcrypt.gensalt())

How It Works

Scanner Detects Risk

Semgrep, Gitleaks, or our SAST engine flags a vulnerability in your repository with full file/line context.

AI Analyzes Code

Claude reads the surrounding codebase to understand data flow, existing patterns, and the best secure alternative for your framework.

Patch Generated

A targeted diff is created that fixes the vulnerability without breaking functionality. Uses parameterized queries, DOMPurify, env vars, or bcrypt as appropriate.

Developer Approves

A Pull Request is created on GitHub/GitLab with the fix, an explanation of why it works, and links to the original finding. Review and merge.

// Vulnerable Code (auth_service.py:42)

- cursor.execute(f"SELECT * FROM users WHERE id={user_id}")

// AI-Generated Fix

+ cursor.execute("SELECT * FROM users WHERE id=%s", (user_id,))

[CLAUDE] PR #104 Created: fix/sql-injection-auth-service

1 file changed, 1 insertion(+), 1 deletion(-)

Developer Experience

Built for how developers actually work.

GitHub & GitLab PRs

One-click creates a branch, applies the fix, and opens a Pull Request with a detailed explanation. Your team reviews and merges like any other PR.

Audit Trail

Every fix is logged with before/after code, who approved it, and a timestamp. Compliance auditors get a complete paper trail.

Zero Config

Works out of the box. No rules to write, no YAML to configure. AI learns your codebase patterns and applies fixes that match your style.

AI Remediation Workflow

[SCAN] Running Semgrep on auth_service.py...

[FINDING] SQL injection at line 42: unsanitized user input in raw SQL

[AI] Claude analyzing codebase context...

> Django ORM available, parameterized query pattern used in 3 other files

> Recommendation: match existing cursor.execute("%s") pattern

[FIX] Generating patch: parameterized query replacement

[PR] Branch: fix/sql-injection-auth-service

[PR] PR #104 created: "fix: parameterize SQL query in auth_service"

Changes: 1 file changed, 1 insertion(+), 1 deletion(-)

[DONE] Fix ready for review. Estimated review time: 2 minutes.

The Numbers

47x

Faster remediation

Teams using AI auto-fix resolve vulnerabilities 47x faster than manual

2.1hrs

Avg time to fix

Down from 4.2 days — from detection to merged PR

12hrs

Saved per week

Developer time reclaimed from writing security fixes manually

Stop Writing Security Fixes Manually

Free forever for small teams. No credit card required. Start fixing in under 5 minutes.

Start Free Watch Demo