CyberStrike is an AI-powered offensive security agent designed to automate penetration testing and vulnerability assessment.
Source: per README View on GitHub →CyberStrike is gaining attention due to its innovative approach to combining AI with offensive security, addressing the pain points of manual and time-consuming pentesting processes. Its unique feature of being an intelligence layer that transforms any AI model into a security specialist stands out, as does its support for a wide range of LLM providers and its specialized security agents.
Source: Synthesis of README and project traitsTransforms any AI model into an offensive security specialist by providing domain-specific context and tool orchestration logic. It normalizes outputs, guards context, auto-detects provider configurations, and chains security tools intelligently.
Source: per READMEIncludes 13+ agents for different security domains, each with specific methodology, tool knowledge, and testing patterns, such as web application, mobile application, cloud security, and internal network agents.
Source: per READMESupports 15+ LLM providers out of the box, including Anthropic, OpenAI, Google, Amazon Bedrock, Azure, Groq, Mistral, and more, allowing users to choose their preferred AI model without lock-in.
Source: per READMEEnables remote execution of security tools on remote servers, allowing for orchestration of multiple Bolt servers with different toolkits and network positions.
Source: per READMEThe architecture of CyberStrike is inferred to be modular, with a clear separation of concerns. It likely employs design patterns such as the Model-View-Controller (MVC) for structuring the intelligence layer, and it uses a skill-based approach for security testing. Data flow is likely driven by the interaction between the intelligence layer, the LLM providers, and the specialized agents. Key technical decisions include the use of TypeScript for development and the integration of various security frameworks and benchmarks.
Source: Code tree + dependency filesCenter: project; inner ring: core feature modules; outer ring: key dependencies. Auto-generated from core_features and tech_stack.key_deps.
@octokit/resthonomarked@playwright/testtypescriptzodremedashikisolid-jsCyberStrike is suitable for security professionals, red teams, and organizations looking to automate penetration testing and vulnerability assessment. It can be used in scenarios such as conducting regular security audits, identifying and exploiting vulnerabilities in web applications, mobile applications, cloud services, and internal networks.
Source: READMEv1.1.14 (2026-06-18): Added a methodology engine, smarter orchestration, and support for 7,300+ security skills, including MITRE ATT&CK integration.
Source: GitHub ReleasesCyberStrike is a promising open-source project for those looking to leverage AI in offensive security. Its innovative approach and comprehensive feature set make it a valuable tool for security professionals and organizations aiming to enhance their pentesting capabilities. It is particularly suitable for teams that require automation and scalability in their security testing processes.
CyberStrike is an AI-powered offensive security agent designed to automate penetration testing and vulnerability assessment.
CyberStrike's core features include: Intelligence Layer, Specialized Security Agents, Support for Multiple LLM Providers, Remote Tool Execution with Bolt.
CyberStrike is gaining attention due to its innovative approach to combining AI with offensive security, addressing the pain points of manual and time-consuming pentesting processes.
CyberStrike is suitable for security professionals, red teams, and organizations looking to automate penetration testing and vulnerability assessment.