CyberStrike: Automating Enterprise Security Testing with AI

CyberStrike today announced the launch of its open-source AI-powered penetration testing platform, designed to help cybersecurity professionals automate offensive security assessments and improve enterprise vulnerability management.

The platform transforms leading large language models (LLMs), including Claude, GPT, and other AI models, into intelligent security testing assistants capable of performing reconnaissance, vulnerability analysis, exploitation workflows, and security reporting.

Unlike conventional AI assistants, CyberStrike is purpose-built for offensive security. It combines artificial intelligence with established cybersecurity frameworks, allowing security teams to conduct faster, scalable, and more consistent penetration testing operations.

AI Automation Meets Offensive Security

CyberStrike introduces an intelligent security automation layer that enhances AI models with cybersecurity expertise, attack-chain reasoning, and vulnerability assessment methodologies.

The platform integrates:

• OWASP Web Security Testing Guide (WSTG) methodologies
• Vulnerability detection patterns
• Offensive security workflows
• Automated testing intelligence

This approach enables AI models to support complex security assessments while reducing repetitive manual tasks for security teams.

Support for Thousands of AI Models and Enterprise Environments

CyberStrike supports more than 150 AI providers and over 5,300 AI models, including:

• OpenAI
• Anthropic
• Google
• Amazon Bedrock
• Microsoft Azure AI
• Ollama
• LM Studio

The platform also supports offline AI deployments, making it suitable for organizations requiring enhanced privacy, compliance, and air-gapped security environments.

Specialized AI Agents for Comprehensive Security Testing

The platform includes 13 specialized AI security agents designed for multiple cybersecurity domains, including:

• Web application penetration testing
• Mobile application security
• Cloud infrastructure assessments
• Internal network testing
• Active Directory security analysis

CyberStrike is supported by more than 7,600 digitally signed security skill modules covering advanced attack techniques, including:

• JWT vulnerabilities
• Server-Side Request Forgery (SSRF)
• Server-Side Template Injection (SSTI)
• GraphQL security issues
• Cloud privilege escalation
• Kubernetes security testing

Advanced Web Security Testing with HackBrowser

CyberStrike features HackBrowser, an integrated Chromium-based security testing environment that captures application traffic during manual analysis and automated crawling.

The system uses AI-powered testing engines to identify security weaknesses such as:

• Insecure Direct Object References (IDOR)
• Authorization vulnerabilities
• Mass assignment issues
• Business logic flaws

A multi-stage validation process helps improve accuracy and reduce false-positive findings.

Scalable Security Operations with Bolt and MCP Integration

CyberStrike expands enterprise security capabilities through Bolt, a remote execution framework that enables security tools to operate across distributed environments.

Using secure Ed25519 key authentication, security teams can coordinate testing activities across multiple infrastructures from a centralized interface.

The platform also connects with an MCP ecosystem offering more than 176 additional security integrations for:

• Cloud security auditing
• GitHub security analysis
• CVE intelligence
• OSINT reconnaissance

Open-Source Platform Built for Responsible Security Testing

Released under the AGPL-3.0 open-source license, CyberStrike provides free access for personal and community projects while offering commercial licensing options for enterprise users.

The platform supports Windows, macOS, and Linux environments through installation options including npm, Homebrew, Scoop, and direct installation scripts.

CyberStrike emphasizes responsible cybersecurity practices and is designed exclusively for authorized security testing. The project encourages collaboration from the security community through contributions to AI agents, security modules, and integrations.