Meet SecureVibes: The AI Security Team That Never Sleeps

How five AI agents working together are changing the game for developers who code at the speed of thought

If you’ve been following the explosion of AI-assisted development—or what the cool kids are calling “vibecoding”—you’ve probably noticed something troubling. Developers are shipping code faster than ever before, but security hasn’t kept pace. While AI helps us write applications in hours instead of weeks, those same applications inherit all the vulnerabilities that come with moving fast and breaking things.

Enter SecureVibes, an open-source tool that’s bringing AI not just to development, but to security analysis. Created by developer Anshuman Bhartiya and released in October 2025, this Python-based scanner uses Anthropic’s Claude AI to detect vulnerabilities in your codebase automatically. But here’s what makes it interesting: it doesn’t use a single AI making all the decisions. Instead, it deploys five specialized AI agents that work together like a human security team.

Think of it as having a mini security department living in your terminal.

The Five-Agent Security Dream Team

Most AI-powered security tools throw your code at a model and hope for the best. SecureVibes takes a different approach, breaking down the security assessment into distinct phases, each handled by a specialized agent:

1. The Assessment Agent: The Architect

First up is the Assessment Agent, which acts like a senior architect surveying a building. It maps out your entire codebase architecture—data flows, dependencies, critical components—and documents everything in a SECURITY.md file. This isn’t just busywork. Having this architectural overview means the subsequent agents understand how your application works, not just what it does.

Think of this as the difference between a burglar studying blueprints versus just wandering around randomly trying doorknobs.

2. The Threat Modeling Agent: The Paranoid One

Next comes the Threat Modeling Agent, which is basically the team member who sees danger everywhere—and that’s exactly what you want. It applies STRIDE methodology (Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service, Elevation of Privilege) to identify potential threats based on the architecture from step one.

The output? A THREAT_MODEL.json file that catalogs every nightmare scenario that could happen to your application. It’s like having that friend who points out everything that could go wrong with your plan—annoying but invaluable.

3. The Code Review Agent: The Detail-Oriented Perfectionist

With threats identified, the Code Review Agent digs into the actual code. This is where the rubber meets the road. It scrutinizes every line against the threat model, looking for vulnerabilities that could enable those threats.

But here’s the clever part: it doesn’t just flag suspicious code patterns. It validates issues with concrete evidence, outputting a VULNERABILITIES.json file complete with file paths, line numbers, and explanations of why each issue matters. No vague warnings, no “this might be bad”—just specific, actionable findings.

4. The DAST Agent: The Reality Tester (Optional)

Static analysis is great, but you know what’s better? Actually trying to exploit your application. The optional DAST (Dynamic Application Security Testing) Agent does exactly that. Point it at a running instance of your app via a target URL, and it attempts real attacks using Claude Agent Skills.

This is the difference between reading about how locks work and actually trying to pick one. The DAST Agent discovers issues that only reveal themselves when code is executed, not just read.

5. The Report Generator: The Communicator

Finally, the Report Generator takes all this technical gold and makes it usable. It compiles findings into actionable reports in formats like Markdown or JSON—whatever works for your workflow. No more drowning in false positives or trying to interpret cryptic security tool output.

Eleven Languages, Zero Excuses

One of SecureVibes’ strongest features is its language support. It handles eleven programming languages:

  • Python (.py files)
  • JavaScript (.js, .jsx)
  • TypeScript (.ts, .tsx)
  • Go (.go)
  • Ruby (.rb)
  • Java (.java)
  • PHP (.php)
  • C# (.cs)
  • Rust (.rs)
  • Kotlin (.kt)
  • Swift (.swift)

But it’s not just about recognizing file extensions. SecureVibes is smart about context. It automatically excludes irrelevant directories for each language:

Python projects? It skips venv/, __pycache__/, .pytest_cache/, and other virtual environment folders.

JavaScript/TypeScript? Say goodbye to scanning node_modules/—nobody wants to audit their entire dependency tree every time.

Go applications? vendor/, bin/, and pkg/ are excluded by default.

The tool intelligently detects project types and handles mixed-language codebases seamlessly. Working on a full-stack app with Python backend and React frontend? SecureVibes has you covered.

Getting Started: Easier Than You Think

Installation is refreshingly simple:

bash

pip install securevibes

That’s it. You’re ready to scan.

Want bleeding-edge features? Clone the GitHub repo:

bash

git clone https://github.com/anshumanbh/securevibes
cd securevibes
pip install -e .

Authenticate via Claude’s CLI session or API key, then run:

bash

securevibes scan .

The tool offers plenty of options:

  • Adjust verbosity levels
  • Filter by severity
  • Run specific sub-agents to reduce costs
  • Output results in different formats

The Numbers: Better Than Traditional SAST?

Here’s where SecureVibes gets really interesting. In self-tests, it uncovered 16-17 vulnerabilities in its own codebase. Compare that to:

  • Single-agent AI tools (like Claude Code alone): Found 4-5 vulnerabilities
  • Traditional rules-based scanners (like Semgrep or Bandit): Found zero

That’s four times more issues than single-agent approaches, and infinitely more than traditional SAST tools missed entirely.

Why such a dramatic difference? Traditional SAST tools rely on predefined rules and patterns. They’re excellent at finding known vulnerability types but blind to context-specific issues that don’t match their rule sets. Single-agent AI tools have context awareness but lack the structured, systematic approach of specialized agents working together.

SecureVibes combines the best of both worlds: the context understanding of AI with the systematic thoroughness of a multi-stage security review process.

False Positives: The Real Enemy

Let’s talk about the elephant in the room: false positives. Traditional security scanners are notorious for crying wolf. They flag thousands of “issues,” forcing developers to waste hours investigating non-problems, which eventually leads to security alert fatigue.

SecureVibes’ progressive, context-aware approach significantly reduces false positives. Each issue requires concrete evidence. The Code Review Agent doesn’t just say “this could be SQL injection”—it explains why, based on the threat model and actual code flow.

This matters because security tools are only useful if developers actually use them. A tool that produces 90% false positives is worse than no tool at all—it teaches teams to ignore security warnings.

What About Cost and Privacy?

Cost: Using the Sonnet model, expect to pay around $2-3 per scan. That’s reasonable for professional-grade security analysis. Need deeper analysis? The Opus model offers more thorough reviews at a premium price point.

Privacy: Bhartiya designed SecureVibes with privacy in mind. Only code and relative paths are sent to Anthropic—no secrets, no absolute file paths, no sensitive environmental data. That said, you’re still sending code to a third-party API, so review Anthropic’s data policies before scanning highly sensitive codebases.

CI/CD Integration: Security on Autopilot

SecureVibes isn’t just a standalone tool—it’s designed for automation. The Python API enables integration into CI/CD pipelines, meaning you can automatically scan every commit, pull request, or deployment.

Imagine this workflow:

  1. Developer pushes code
  2. CI pipeline runs tests
  3. SecureVibes scans for vulnerabilities
  4. If critical issues found, build fails
  5. Developer gets detailed report with exact locations and fixes

Security becomes part of the development process, not an afterthought or annual audit.

The Evolution Continues

Available on GitHub under the AGPL license, SecureVibes is actively evolving. Recent additions include:

  • DAST validation capabilities
  • Advanced testing skills
  • Enhanced reporting formats
  • Performance optimizations

The open-source nature means the community can contribute improvements, add language support, or customize agents for specific security requirements.

Vibecoding Meets Secure Coding

The rise of AI-assisted development has created a paradox: we can build applications faster than ever, but that speed often comes at the cost of security. Developers using AI to generate code in minutes don’t have the luxury of traditional security review cycles that take days or weeks.

SecureVibes represents an attempt to solve this paradox with more AI—not to replace human security expertise, but to make professional-grade security analysis accessible at the speed of modern development.

Think about the traditional security review process:

  • Architecture review: Days to weeks
  • Threat modeling: Days
  • Code review: Weeks
  • Penetration testing: Weeks to months
  • Total time: 1-3 months minimum

SecureVibes compresses this into minutes, making it feasible to run security reviews as frequently as you run unit tests.

Is This the Future of AppSec?

It’s tempting to view SecureVibes as either a silver bullet or just another tool. The truth is somewhere in between.

What it excels at:

  • Automated, repeatable security analysis
  • Context-aware vulnerability detection
  • Rapid feedback for developers
  • Integration into modern development workflows
  • Catching issues traditional tools miss

What it’s not:

  • A replacement for human security experts
  • Perfect (it’s still AI, which means it can make mistakes)
  • A substitute for secure coding practices
  • A solution for compliance requirements that mandate human review

The smartest approach? Use SecureVibes as your first line of defense—a tireless security team that reviews every line of code you write, catching issues before they reach production. For critical systems, follow up with human security reviews.

The Bigger Picture

SecureVibes is part of a broader trend: applying AI not just to creating software, but to securing it. As AI-generated code becomes more prevalent (some estimates suggest AI writes 30-40% of code at major tech companies), we need AI-powered security tools to keep pace.

The multi-agent approach is particularly promising. Rather than asking one AI to do everything, SecureVibes demonstrates the power of specialized agents working together—each with a specific role, each contributing to a comprehensive security picture.

This pattern could extend beyond security. Imagine:

  • AI agents for performance optimization
  • AI agents for accessibility testing
  • AI agents for documentation quality
  • AI agents for license compliance

Each specialized, each excellent at one thing, all working together to improve software quality.

Getting Started Today

Ready to try SecureVibes? Here’s your action plan:

1. Install it:

bash

pip install securevibes

2. Set up authentication: Get your Claude API key or authenticate via CLI session.

3. Run your first scan:

bash

securevibes scan . --verbose

4. Review the results: Check the generated reports and start fixing issues.

5. Automate it: Integrate into your CI/CD pipeline for continuous security monitoring.

6. Iterate: Adjust settings, try different agents, optimize for your workflow.

Final Thoughts

SecureVibes won’t replace your security team, and it shouldn’t. What it does is democratize professional-grade security analysis, making it accessible to every developer, every project, every commit.

In the age of vibecoding, where AI helps us ship features at unprecedented speed, tools like SecureVibes ensure that speed doesn’t come at the cost of security. Five AI agents working together, analyzing your code with the systematic thoroughness of a human security team, available 24/7, costing a few dollars per scan.

That’s not just a new tool—it’s a new paradigm for how we think about application security in the AI era.

The question isn’t whether you should use AI-powered security tools. It’s how quickly you can integrate them into your development process before your competitors do.

Resources

  • GitHub Repository: github.com/anshumanbh/securevibes
  • License: AGPL
  • Documentation: Available in the repo
  • Language Support: 11 languages and growing
  • Cost: ~$2-3 per scan with Sonnet model

About AI Security Tools

As AI transforms software development, new tools emerge to address security challenges at the speed of modern development. SecureVibes represents the next generation of security analysis—context-aware, automated, and designed for the realities of AI-assisted coding. Whether you’re building the next unicorn startup or maintaining enterprise applications, tools like this are becoming essential parts of the modern development toolkit.

Stay secure, ship fast, and let the AI agents handle the security grunt work.