Your AI-generated code is a security nightmare

VibeGuard finds the risks, fixes the code, and hardens your pipeline in minutesβ€”without slowing your team.

$4.4M
global average cost of a data breach
(IBM, 2025)
23.8M
secrets leaked on public GitHub in 2024
(GitGuardian, 2025)
~252 days
to resolve half of flaws
(Veracode SoSS, 2025)
NIS2
EU directive in force Oct 17, 2024
(European Commission)
LIVE THREAT INTELLIGENCE
2.3M
Threats Blocked
47s
Avg Detection Time
99.2%
Accuracy Rate

Critical vulnerabilities we're detecting right now

Real-time analysis from 50,000+ repositories scanned in the last 30 days

CRITICAL↗ +23%
9.8
Impact Score

πŸ”‘ Hardcoded Secrets Epidemic

AI-generated code commits containing live API keys, database passwords, and private keys.23.8M secrets leaked in 2024 with 70% remaining active after exposure.

847
Found Today
$4.4M
Avg Breach Cost
2.3x
AI Code Risk
Vulnerable PatternJavaScript
// Direct secret hardcoding - detected in 23% of AI repos
const STRIPE_KEY = "sk_live_4f3a2b1c...";
const DB_PASSWORD = "prod_db_2024!";
⚠️ Exposed in git history, logs, screenshots
AutoPatch Fix
↓
Secure ImplementationJavaScript
// Environment-based secrets with validation
const STRIPE_KEY = process.env.STRIPE_API_KEY;
const DB_PASSWORD = await vault.getSecret('db-password');
βœ… Secure, rotatable, auditable
HIGH↗ +15%
8.4
Impact Score

🎯 AI-Generated SQL Injection

Template literals and string concatenation in database queries.252-day average fix time means these vulnerabilities persist in production.

423
Found Today
67%
AI Code Rate
8.2
CVSS Score
Vulnerable PatternNode.js
// Template literal injection - common in AI code
const query = `SELECT * FROM users WHERE id = ${userId}`;
db.query(query); // Exploitable
⚠️ Direct data exfiltration risk
AutoPatch Fix
↓
Secure ImplementationNode.js
// Parameterized query with validation
const query = "SELECT * FROM users WHERE id = $1";
db.query(query, [validateUserId(userId)]);
βœ… Injection-proof, type-safe
EMERGINGπŸ”₯ NEW
9.1
Impact Score

πŸ€– LLM Prompt Injection & Tool Abuse

Unguarded LLM integrations allowing prompt injection and unrestricted tool access.OWASP LLM Top 10 2025 now formalizes these attack vectors.

156
Found Today
NEW
Attack Vector
89%
Apps at Risk
Vulnerable PatternPython
# Unguarded LLM with unrestricted tools
response = llm.generate(user_input, tools=all_tools)
exec(response.tool_calls[0].code) # Dangerous
⚠️ Full system access via prompt injection
AutoPatch Fix
↓
Secure ImplementationPython
# Guarded LLM with tool allowlist & validation
response = llm.generate(
Β Β sanitize_prompt(user_input),
Β Β tools=["search", "calculate"], # Allowlist only
Β Β output_schema=response_schema
)
βœ… Controlled, validated, auditable

Don't wait for a breach

These vulnerabilities are being exploited right now. Get ahead of attackers with real-time detection and automated fixes.

Product pillars (why it matters)

⚑

AutoPatch Engine

Turns findings into minimal PRs with tests, cutting review toil and improving MTTR.

πŸ”‘

Secret Rotation

Detect, verify if live, rotate with provider runbooks, and validate completion.

πŸ€–

LLM Guardrails

Controls mapped to OWASP LLM Top 10 (2025): prompt isolation, output validation, tool-call limits.

πŸ“Š

SBOM Generation

CycloneDX/SPDX exports for procurement and audits; supports NIS2-driven supply-chain visibility.

πŸ›°οΈ

Light DAST

Headers, endpoint enumeration, config checks to surface misconfigurations quickly.

πŸ“ˆ

Compliance Reports

Evidence packs for SOC 2/ISO/NIS2/GDPR reviewsβ€”without spreadsheet drudgery.

How it works β€” from scan to safe

1

Connect

Install the GitHub App (read-only) or connect your CI token.

2

Scan

SAST, secrets, dependencies, and LLM checks tuned for signal.

3

AutoPatch

Draft PRs ship with unit tests and explanations; you review & merge.

4

Harden

Policy gates, continuous monitoring, and audit-ready reports.

The LLM attack surface (and how we cover it)

Prompt injection

Untrusted input steering tools β†’ guarded by prompt isolation & tool allowlists

Insecure output

Schema-less responses β†’ output validation & policy-as-code

Data leakage

Sensitive data exposure β†’ redaction & retrieval controls

Tool abuse

Over-permissioned actions β†’ fine-grained tool scopes

πŸ’° Transparent Pricing

Pricing that scales with your security needs

From indie developers to enterprise teams, we have the right plan to protect your AI-generated code at every stage.

MonthlyAnnual Save 20%
πŸš€

Maker

Perfect for side projects and learning

Free
Forever
  • βœ“
    1 private repository
  • βœ“
    Monthly security scans
  • βœ“
    Basic vulnerability detection
  • βœ“
    Community support
  • βœ“
    Basic reporting
Get Started
⚑

Indie

For serious individual developers

$59
per month
  • βœ“
    Up to 5 repositories
  • βœ“
    Weekly automated scans
  • βœ“
    AutoPatch credits (50/month)
  • βœ“
    SBOM generation & export
  • βœ“
    Email & chat support
  • βœ“
    Basic LLM guardrails
Start 14-Day Trial
⭐ Most Popular
πŸ†

Team

For growing development teams

$299
per month
  • βœ“
    Up to 25 repositories
  • βœ“
    Daily automated scans
  • βœ“
    Unlimited AutoPatch fixes
  • βœ“
    CI/CD pipeline integration
  • βœ“
    Policy gates & compliance
  • βœ“
    Priority support & training
  • βœ“
    Advanced LLM security
  • βœ“
    Secret rotation workflows
Start 14-Day Trial
🏒

Enterprise

For large-scale security operations

Custom
Contact for pricing
  • βœ“
    Unlimited repositories
  • βœ“
    On-premise & air-gapped
  • βœ“
    SSO/SAML/SCIM integration
  • βœ“
    Custom security rules
  • βœ“
    SLA guarantees
  • βœ“
    Compliance evidence packs
  • βœ“
    Dedicated security engineer
Talk to Security Expert
πŸ’³

No Hidden Fees

Transparent pricing with no surprise charges or usage limits

πŸ”„

Cancel Anytime

No long-term contracts. Upgrade, downgrade, or cancel whenever you need

πŸ›‘οΈ

30-Day Guarantee

Not satisfied? Get a full refund within the first 30 days

πŸ”— Seamless Integration with Your Existing Tools

Already using GitHub Advanced Security? VibeGuard complements GHAS with specialized LLM-aware checks, AutoPatch fixes with tests, automated secret rotation, and comprehensive SBOM reporting. No rip-and-replace required.

βœ“ GitHub Actionsβœ“ GitLab CIβœ“ Jenkinsβœ“ Azure DevOpsβœ“ CircleCIβœ“ Slackβœ“ Jiraβœ“ PagerDuty

What teams report after switching

"Noise down, reviews up"

Lower false-positive fatigue; patches arrive with tests.

"Secrets closed the loop"

Detection and rotation in one workflow.

"Audit season got easier"

Exportable SBOMs and evidence save days during reviews.

All Systems Operational