Synack unites the power of human expertise and AI technology to deliver continuous, trusted security testing at scale.
Synack combines agentic AI and human expertise to deliver pentesting solutions at scale.
Synack unites the power of human expertise and AI-driven technology to deliver continuous, trusted security testing at scale.
Synack unites the power of human expertise and AI-driven technology to deliver continuous, trusted security testing at scale.
Meet the experts who power Synack’s strategic security testing platform. Our Synack Red Team unites over 1,500 of the world’s most skilled and trusted security researchers, who work with patented technology to deliver best-in-class offensive security testing on a continuous basis.
Synack combines agentic AI and human expertise to deliver pentesting solutions at scale.
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AI Pentesting for Continuous Security Validation. Test Your Entire Attack Surface. Validate Real Risk. AI finds more vulnerabilities. Human experts prove what actually matters.
Most organizations test only a fraction of their attack surface. Sara AI Pentesting expands coverage across your environment, while the Synack Red Team validates real, exploitable risk. Together, they deliver continuous security validation—not periodic testing.
Validates real, exploitable vulnerabilities through real-world penetration testing
AI pentesting uses artificial intelligence to autonomously discover vulnerabilities across an organization’s attack surface. Unlike traditional pentesting, it scales continuously and tests far more of the environment than manual approaches can cover.
Traditional pentesting is limited in scope and runs once or twice a year. AI pentesting expands coverage continuously, identifies vulnerabilities at scale, and adapts to environments that change weekly.
AI agents continuously explore assets across cloud infrastructure, SaaS applications, APIs, and internal systems — testing far more of the environment than human pentesters can reach in a fixed engagement.
AI surfaces a large volume of potential vulnerabilities, but not all are exploitable in the real world. Human experts on the Synack Red Team validate each finding to confirm real, exploitable risk — so security teams act on signal, not noise.
Continuous security validation is the ongoing process of testing, validating, and improving security posture in real time, rather than relying on point-in-time assessments. It pairs continuous discovery with continuous validation to keep pace with how environments — and attackers — actually move.
Agentic AI refers to autonomous systems designed to take initiative and achieve complex security goals with minimal human intervention. Unlike static scanners, agentic AI like Sara uses specialized agents to validate vulnerabilities by emulating real attacker behavior—executing. Prioritizing, or abandoning actions based on real-time analysis of the target’s responses.
While a vulnerability scan identifies potential risks from a known list, AI pentesting (like Sara Triage) goes further by actively adjudicating findings to determine if they are truly exploitable. Sara automates the testing phase. This allows vulnerabilities to be identified much faster than manual human testing, while still maintaining human review at the end for final validation.
Synack uses GCP Vertex AI to leverage Google Gemini (to summarize scoping information in the Synack Assessment Creation Wizard) and Anthropic Claude (for Sara services).
No. The underlying LLMs used to power Sara and other AI features and services do not retain or train on any Synack customer data. Synack maintains full control over where data is processed and stored at rest.
No, Synack does not use customer data for training AI features or services at this time.
Sara operates within a Layered Validation Architecture to ensure all actions stay within approved scopes. Some key safety functions include:
Currently, bypassing Captcha remains a challenge as it is specifically designed to detect bots; testing is best performed on targets without it. Support for MFA (Multi-Factor Authentication) and OTP (One-Time Passwords) is not available now, but is on the roadmap.
Sara tests for a wide range of web and host vulnerabilities, including but not limited to:
In addition to open source vulnerability intelligence, Synack sources vulnerability intelligence from a third-party provider, ensuring the agent has the necessary context for the latest Proof of Concepts (POCs) and CVE information. Performance is further maintained by testing agents against internal benchmarks to prevent “drift” when underlying LLM models are updated.
Currently Sara can only test external web and host assets. Testing of internal assets is on the roadmap.
AI pentesting uses artificial intelligence to autonomously discover vulnerabilities across an organization’s attack surface. Unlike traditional pentesting, it scales continuously and tests far more of the environment than manual approaches can cover.
Traditional pentesting is limited in scope and runs once or twice a year. AI pentesting expands coverage continuously, identifies vulnerabilities at scale, and adapts to environments that change weekly.
AI agents continuously explore assets across cloud infrastructure, SaaS applications, APIs, and internal systems — testing far more of the environment than human pentesters can reach in a fixed engagement.
AI surfaces a large volume of potential vulnerabilities, but not all are exploitable in the real world. Human experts on the Synack Red Team validate each finding to confirm real, exploitable risk — so security teams act on signal, not noise.
Continuous security validation is the ongoing process of testing, validating, and improving security posture in real time, rather than relying on point-in-time assessments. It pairs continuous discovery with continuous validation to keep pace with how environments — and attackers — actually move.
Agentic AI refers to autonomous systems designed to take initiative and achieve complex security goals with minimal human intervention. Unlike static scanners, agentic AI like Sara uses specialized agents to validate vulnerabilities by emulating real attacker behavior—executing. Prioritizing, or abandoning actions based on real-time analysis of the target’s responses.
While a vulnerability scan identifies potential risks from a known list, AI pentesting (like Sara Triage) goes further by actively adjudicating findings to determine if they are truly exploitable. Sara automates the testing phase. This allows vulnerabilities to be identified much faster than manual human testing, while still maintaining human review at the end for final validation.
Synack uses GCP Vertex AI to leverage Google Gemini (to summarize scoping information in the Synack Assessment Creation Wizard) and Anthropic Claude (for Sara services).
No. The underlying LLMs used to power Sara and other AI features and services do not retain or train on any Synack customer data. Synack maintains full control over where data is processed and stored at rest.
No, Synack does not use customer data for training AI features or services at this time.
Sara operates within a Layered Validation Architecture to ensure all actions stay within approved scopes. Some key safety functions include:
Currently, bypassing Captcha remains a challenge as it is specifically designed to detect bots; testing is best performed on targets without it. Support for MFA (Multi-Factor Authentication) and OTP (One-Time Passwords) is not available now, but is on the roadmap.
Sara tests for a wide range of web and host vulnerabilities, including but not limited to:
In addition to open source vulnerability intelligence, Synack sources vulnerability intelligence from a third-party provider, ensuring the agent has the necessary context for the latest Proof of Concepts (POCs) and CVE information. Performance is further maintained by testing agents against internal benchmarks to prevent “drift” when underlying LLM models are updated.
Currently Sara can only test external web and host assets. Testing of internal assets is on the roadmap.
