⚠ Multi-Agent Security

YOUR AI
WRITES CODE.
ANTY SECURES IT.

Multiple specialized agents analyze AI-generated code in parallel, cross-verify findings, and explain why vulnerabilities exist.

5
Specialized Agents
3x
Verification
0
Code Stored

Single-Pass Scanners
Aren't Enough

AI-generated code fails in predictable ways. Traditional tools weren't designed for them.

// AI-generated code
const query =
`SELECT * FROM users WHERE id = ${userId}`

const API_KEY = "sk-example-12345"

// Looks fine. Ships to production.
// Gets exploited.

AI Has Blind Spots

LLMs optimize for functionality over security. They're trained on datasets full of insecure patterns.

Scanners Create Noise

Single-pass analysis generates false positives that waste developer time and erode trust.

No Context, No Fix

Knowing something is wrong isn't enough. You need to understand why and how to fix it properly.

Parallel Agents.
Cross-Verification.

Multiple specialized agents analyze independently, then validate each other's findings.

Parallel

Specialized agents run simultaneously. Each targets a specific vulnerability class.

✓✓

Verify

Agents cross-check results. Disagreements surfaced. False positives eliminated.

?→

Explain

Every finding includes root cause: what training pattern caused the issue.

Fix

Intent-aware patches. Minimal changes that preserve your code's purpose.

What We Detect

AI code fails in predictable ways. Anty is built to find them.

01

SQL Injection & Unsafe Queries

String interpolation and injection vectors in database code.

02

Weak Authentication

Incomplete auth flows and missing permission checks.

03

Hardcoded Secrets

API keys and tokens copied from training data.

04

Risky Configurations

Open CORS, debug modes, wildcard permissions.

05

Insecure Dependencies

Old library versions with known CVEs.

anty scan ./src COMPLETE
HIGH 3/3 agents
SQL Injection via template literal
Template literals for SQL appear in ~2.3M training samples. AI defaults to this insecure pattern.
HIGH 2/2 agents
Hardcoded API key detected
"sk-example" prefix appears in 140K+ training samples.
Active Agents
INJECT
SECRETS
AUTH
CONFIG
DEPS
✓ Cross-Verified

Your Final Security Gate

Run locally or integrate into CI/CD. AI code doesn't ship until verified.

01

Connect

Point at your repo or add to your CI/CD pipeline as a required check.

02

Analyze

Parallel agents scan your codebase. Cross-verify findings. Eliminate false positives.

03

Ship

Apply intent-aware patches. Pass the gate. Deploy with confidence.

Simple Plans

Run locally, catch AI-introduced vulnerabilities, ship safer code.

Free
$0

For solo devs getting started

  • CLI tool
  • 5 basic security agents
  • Local scanning
  • JSON reports
Get Started Free
Enterprise
$299/mo

For compliance requirements

Everything in Pro, plus:

  • Team management
  • Custom agents
  • SSO / SAML
  • SLA support
  • On-premise deployment
Contact Sales

For sensitive codebases

FAQ

Do you store my code?

No. Anty does not store, log, or retain your source code. Scans are transient and your code is discarded after analysis.

Can Anty run fully locally?

Yes. Anty can run locally. AI analysis can be done via your own provider credentials or local models (e.g., Ollama).

What's the difference between Free and Pro?

Pro adds IDE workflow, cross-file logic analysis, shareable reports, and CI/CD integrations—making Anty a daily security gate.

Security-first by default. Your code stays yours.

Stop Shipping
Vulnerabilities.

Multi-agent analysis catches what single-pass scanners miss.