open source

Open Source Security: Why We Built CyberStrike

The philosophy behind our open source AI-powered pentesting tool and what it means for the security community.

CyberStrike open source security tool.

In this article

The philosophy behind our open source AI-powered pentesting tool and what it means for the security community.

Why Open Source?

When we started building AI-powered security tools, we faced a choice: build proprietary software or contribute to the community. We chose open source — and here’s why that decision shapes everything we do at AUM Labs.

The cybersecurity industry has a paradox at its core. We ask organizations to trust security tools with their most sensitive systems, yet most of those tools are black boxes. You can’t inspect what they do, how they work, or what data they collect. In an industry built on trust verification, this opacity is a fundamental contradiction.

Open source solves this by making the source code available for anyone to review, audit, and improve. When a tool that scans your infrastructure for vulnerabilities is itself open source, you can verify that it does exactly what it claims — nothing more, nothing less.

The Case for Open Source Security

Transparency Builds Trust

Security tools that inspect your systems should be inspectable themselves. Open source means anyone can review the code, understand what it does, and verify it doesn’t introduce risks. In security, opacity is a liability.

This isn’t a theoretical concern. Over the past decade, several proprietary security tools have been found to contain vulnerabilities themselves — from hardcoded credentials to data exfiltration capabilities. When your security tool is closed-source, you’re trusting the vendor’s claims about what the tool does. When it’s open source, you can verify those claims yourself.

Consider what happens during a security audit. Auditors want to understand every tool in your environment. With proprietary tools, you hand them a vendor data sheet and hope for the best. With open source tools, you hand them the source code. The conversation changes from “trust me” to “read the code.”

Community Makes Tools Better

The best security tools are shaped by the community that uses them. Bug reports from diverse environments, feature suggestions from different use cases, and code contributions from skilled engineers make the tool stronger than any single company could achieve alone.

Diverse testing environments: A proprietary tool gets tested in the vendor’s lab and by their customers. An open source tool gets tested in thousands of different environments — different operating systems, network configurations, application stacks, and edge cases that no single vendor would ever encounter.

Faster vulnerability disclosure: When a bug is found in an open source tool, the entire community can review the fix. There’s no waiting for a vendor’s next quarterly patch release. Critical fixes can be deployed within hours.

Feature innovation: Contributors from different industries bring unique perspectives. A financial services engineer might contribute compliance-specific checks. A healthcare security professional might add HIPAA-relevant testing modules. A government contractor might contribute FedRAMP assessment capabilities. This diversity of input produces a tool that serves a broader range of needs than any single company could design.

Quality through scrutiny: Every pull request is reviewed by multiple engineers. Code quality standards are enforced by the community, not just by a vendor’s internal processes. The result is more robust, more maintainable, and more secure code.

Accessibility Matters

Not every organization can afford enterprise security tools. A mid-market company might pay $50,000-$200,000 annually for a commercial penetration testing platform. For startups, SMBs, and nonprofits, that cost is prohibitive — which means they go without adequate security testing.

Open source democratizes access to AI-powered security testing, helping smaller teams protect themselves with the same technology available to large enterprises. This isn’t charity — it’s a recognition that security is a collective challenge. A vulnerability in a small company’s software can become a supply chain attack on their enterprise customers.

When we make CyberStrike freely available, we’re not just helping small organizations — we’re improving the security of the entire ecosystem. Every organization that can test its software more thoroughly is one less potential entry point for attackers.

What CyberStrike Does

CyberStrike is an AI-powered offensive security agent platform for autonomous pentesting. Unlike traditional scanning tools that check for known vulnerabilities against signature databases, CyberStrike uses AI agents that reason about applications the way a human pentester would — understanding context, chaining findings, and adapting their approach based on what they discover.

Core Capabilities

  • 13+ specialized AI agents handle different aspects of security testing — from subdomain enumeration and port scanning to vulnerability exploitation and report generation
  • 120+ OWASP test cases provide comprehensive coverage of the OWASP Top 10 and beyond, including business logic vulnerabilities that traditional scanners miss
  • 15+ LLM provider support lets you use local or cloud models — and for maximum security, you can run it entirely on-premise with no data leaving your network
  • Automated reporting with severity ratings, CVSS scores, and step-by-step remediation guidance tailored to the specific technology stack

How It Works

CyberStrike operates through a plugin-based architecture where specialized agents collaborate to test an application:

  1. Reconnaissance agents map the attack surface — discovering subdomains, open ports, running services, and technology stacks
  2. Analysis agents examine the gathered data for potential vulnerability patterns — looking at HTTP responses, JavaScript files, API endpoints, and configuration details
  3. Exploitation agents attempt to verify potential vulnerabilities through safe, controlled testing — confirming whether a suspected XSS is actually exploitable or whether an open redirect can be chained with other findings
  4. Reporting agents compile findings into structured reports with evidence, reproduction steps, and remediation guidance

This multi-agent approach mirrors how an experienced pentest team operates — with specialists handling different phases of the assessment and sharing intelligence between stages.

What Makes It Different

AI-driven reasoning, not just signature matching: Traditional scanners compare responses against a database of known vulnerability patterns. CyberStrike’s agents understand application logic and can identify vulnerabilities that have never been cataloged — including business logic flaws, complex injection chains, and authentication bypasses that require contextual understanding.

Adaptive testing: The agents adjust their approach based on what they discover. If they find an authentication endpoint, they test for common bypass techniques. If they discover an API, they probe for authorization issues. If they identify a file upload, they test for path traversal and code execution. This adaptive behavior is what separates AI-powered testing from rule-based scanning.

Continuous operation: CyberStrike can run continuously against your applications, testing new deployments as they happen rather than waiting for scheduled assessment windows.

The Architecture Philosophy

CyberStrike’s architecture reflects our belief that security tools should be modular, extensible, and transparent:

Plugin-Based Design

Every testing capability is implemented as a plugin with a well-defined interface. Want to add a new type of test? Write a plugin. Want to integrate with a different scanning engine? Write a plugin. This modularity means CyberStrike can adapt to any testing requirement without core architecture changes.

Model Agnostic

CyberStrike supports multiple LLM providers because we believe organizations should choose the model that best fits their requirements. Some need the fastest model. Others need the most capable. Many — especially those in regulated industries — need models that run entirely on-premise. CyberStrike supports all of these scenarios.

MCP Integration

CyberStrike implements the Model Context Protocol (MCP), allowing it to integrate with any MCP-compatible AI assistant. This means security teams can use CyberStrike through their preferred AI interface, whether that’s a CLI tool, an IDE extension, or a custom application.

Open Source, Enterprise Ready

Being open source doesn’t mean being unsupported. The open source model and the enterprise model serve different but complementary purposes:

Open source CyberStrike is the core engine — freely available, community-driven, and continuously improving. Individual security professionals, small teams, and organizations building their first security testing capability can use it immediately with no cost barrier.

Enterprise CyberStrike adds the deployment, configuration, and operational support that large organizations need:

  • Dedicated hardware deployment — on-premise testing infrastructure sized for your environment
  • Custom agent configuration — agents tuned for your specific technology stack and testing requirements
  • Integration engineering — connecting CyberStrike to your SIEM, ticketing system, and CI/CD pipeline
  • Ongoing support — expert assistance with configuration, upgrades, and advanced testing scenarios through our continuous pentesting service

The core tool is free; the expertise to deploy it at scale is our value-add. This model aligns incentives — we make money by making CyberStrike more useful, not by restricting access to it.

The Open Source Security Ecosystem

CyberStrike doesn’t exist in isolation. It builds on and contributes to a rich ecosystem of open source security tools:

  • Nuclei for template-based vulnerability scanning
  • Subfinder for passive subdomain enumeration
  • httpx for HTTP probing and technology detection
  • Katana for intelligent web crawling
  • ffuf for fuzzing and content discovery

By integrating with these tools rather than reinventing them, CyberStrike leverages the collective work of thousands of security engineers. And by open-sourcing CyberStrike itself, we contribute back to that ecosystem.

Get Involved

CyberStrike is available on GitHub under the AGPL-3.0 license. Whether you want to use it, contribute to it, or just learn from the code — you’re welcome. Here’s how to get started:

  • Use it: Install with npm i -g @cyberstrike-io/cyberstrike and start testing
  • Contribute: Check the issues list for good first contributions, or submit your own feature ideas
  • Learn: Read the source code to understand how AI agents approach security testing
  • Report bugs: If you find a vulnerability in CyberStrike, responsible disclosure helps the entire community

Security is a collective challenge, and we believe the best solutions are built together. The strongest security community is an open one.