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Security remediation
without hallucinations.

Autonomous AI agents that detect, patch, and verify vulnerabilities. Every fix is grounded in your documentation using RAG.

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auth_service.py
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from flask import Flask, request, jsonify import sqlite3 app = Flask(__name__) @app.route('/login', methods=['POST']) def login(): email = request.json.get('email') pwd = request.json.get('password') # ⚠️ SQL Injection - unsafe string formatting query = f"SELECT * FROM users WHERE email='{email}'" conn = sqlite3.connect('db.sqlite') user = conn.execute(query).fetchone() if user and check_password(pwd, user[2]): return jsonify({'token': create_token(user[0])}) return jsonify({'error': 'Invalid'}), 401
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Vulnerability management is critical.

The next frontier is agentic remediation
  • LOGIN
    AUTH
    API
    GROUNDED

    Grounded security intelligence

    Each agent retrieves guidance from your security knowledge bases and use-case playbooks (e.g., secure login), so fixes stay consistent with your ground truth.

  • GITHUB
    GITLAB
    INGEST

    Secure code ingestion

    Connect GitHub or GitLab and import repositories in minutes. VulnIQ maps your codebase and prepares it for review, remediation, testing, and reporting.

  • REVIEWERACTIVE
    IMPLEMENTACTIVE
    TESTERACTIVE
    REPORTERACTIVE

    Multi-agent security workflow

    A 4-agent pipeline: reviewer, implementer, tester, reporter. With per-agent specialized prompts and knowledge base for your stack and policies.

  • TEST SUITERUNNING
    auth.spec
    FAIL
    PASS
    csrf.spec
    FAIL
    PASS
    deps.spec
    FAIL
    PASS

    Automated security validation

    After remediation, the Tester agent validates fixes with targeted security checks, confirming vulnerabilities are resolved without breaking behavior.

  • EVIDENCE
    KB CITED
    REPORTGENERATING

    Professional security reports

    The Reporter agent generates stakeholder-ready reports: findings, patches applied, evidence from knowledge bases, and test outcomes. Ready for audits.

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Build
better 

apps with VulnIQ
  • Universities are a strong fit for VulnIQ. It connects theory with real security work. Students and faculty can import code and learn practical remediation. The four agent workflow reflects professional teams. The Reviewer finds vulnerabilities. The Implementation agent applies fixes using course knowledge bases. The Tester validates results. The Report agent documents outcomes. Specialized prompts keep learning aligned with curriculum goals. RAG keeps fixes accurate and grounded in approved security protocols.
    Universities
  • Startups benefit from VulnIQ. It delivers strong security without the cost of a dedicated security team. Teams import a codebase and run the four agent workflow. Vulnerabilities are identified. Fixes are applied. Tests confirm results. Reports document changes. Knowledge bases keep fixes aligned with company standards. RAG prevents hallucinated solutions. Startups move fast and keep strong security with low overhead.
    Startups
  • People learning web security gain hands on insight with VulnIQ. They see real vulnerabilities handled step by step. The Reviewer explains what is wrong and why it matters. The Implementation agent applies protocol driven fixes. The Tester verifies correctness. The Report agent explains each decision clearly. Guided prompts support structured learning. RAG keeps explanations and fixes accurate and grounded in real security standards.
    People Learning About Web Security
  • Enterprise developer teams choose VulnIQ. It scales security across large codebases. Teams define specialized prompts and maintain knowledge bases for internal and industry standards. The four agent system analyzes vulnerabilities. It applies fixes. It runs tests. It produces documentation. RAG keeps every remediation traceable and compliant. Teams get repeatable security at enterprise scale without losing accuracy.
    Enterprise Developer Teams
  • Open source contributors benefit from VulnIQ. It supports transparent and community driven security improvements. Contributors import repositories and rely on shared knowledge bases. The agent workflow identifies vulnerabilities. It applies fixes. It tests changes. It documents outcomes. RAG keeps recommendations aligned with established best practices. Security improvements become trustworthy and easy to review.
    Open Source Contributors

Power your agents with
state-of-the-art models

Don't get locked into a single ecosystem. VulnIQ allows you to seamlessly switch between top-tier providers like OpenAI, Anthropic, Google, and Meta to find the perfect balance of performance and cost for your specific use cases.

OpenAIAnthropicGoogle GeminiLlama

Model agnostic

Choose among state of the art providers to power your agents.

VulnIQ

Making code security autonomous by default

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