Agentic AI, autonomous testing, and how AI pentesting compares with traditional testing, BAS, and bug bounty.
8 articles Security ValidationContinuous and adversarial exposure validation, and how it differs from BAS and penetration testing.
10 articles PTaaSUnderstanding Penetration Testing as a Service and modern, continuous testing programs.
4 articles Human + AI ValidationExploit validation, the Synack Red Team, and why human-in-the-loop testing matters.
5 articles FoundationsDefinitions, methodologies, and the essential foundations of penetration testing.
4 articles Buying GuidesEvaluation frameworks, pricing, scoping, and guidance for selecting the right provider.
4 articles ComparisonsVendor and category head-to-heads designed to help enterprise teams evaluate their options.
Visit the Comparison CenterIn-depth guides that give you the full picture, not just the highlights.
Cloud security testing requires more than one scanner. Modern cloud environments combine infrastructure, identities, APIs, applications, containers, managed services and continuously changing configuration. Each layer creates different failure modes, so security teams usually need…
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Side-by-side breakdowns to help you compare vendors and categories before you decide.
The difference between alerts and proof. AI expands coverage; Synack Red Team researchers validate what is real and exploitable.
LEARN MOREOriginal data and benchmarks from our Research Center.
95% of enterprises prioritize pentesting, yet only 32% of the attack surface gets tested. Synack and Omdia surveyed 200 U.S. security leaders on agentic AI adoption in pentesting.
Read research AGENTIC AICyber AI is dual-use: the capabilities that help defenders also help attackers. Synack's participation in OpenAI's and Anthropic's trusted- access programs, and why AI-generated findings still need human validation before enterprises act on them
Read blog INDEXA recurring benchmark designed to become an annual category-defining authority asset. Coming soon: no live URL yet.
Coming soonNew findings and data from our Research Center.
Clear answers to the questions buyers actually ask.
8 resources
Access to powerful AI models has become remarkably easy. A security team can connect to a foundation model through an API, give it access…
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Agentic AI is changing how some penetration testing tasks can be planned and executed. Instead of waiting for a person to choose every command,…
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AI penetration testing uses artificial intelligence to assist or automate parts of an authorized security test. Depending on the approach, AI may help map…
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AI-driven tools can scan more of an environment, faster, than manual testing ever could. That scale is real, but it raises a fair question…
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Security teams often have more assets, changes and potential attack paths than a fixed testing schedule can cover. Artificial intelligence can help by processing…
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Artificial intelligence can reduce manual work across security testing, but the word “automate” covers several different levels of responsibility. Some systems summarize results or…
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AI can support many parts of a penetration test, from reconnaissance and test selection to evidence analysis and reporting. Understanding where AI helps, where…
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A practical guide to how penetration testing validates exploitable risk, tests security controls and helps teams prioritize remediation.
Read articleThe articles buyers are turning to most right now.
Learning Center articles are written by the practitioners and researchers building Synack’s technology.
20+ years in cybersecurity and a Ph.D. in Computer Science from Auburn (DoD/NSA fellowship). Formerly at the NSA and DISA, Mark leads Synack’s engineering, operations, and product teams — including the Sara agentic AI platform.
You've learned the theory. See how Synack combines Sara AI pentesting with the Synack Red Team to find more and prove what matters.
