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Reflectiz Launches Agentic Pentesting for Websites: Up to 10x Coverage vs Conventional Pentests

Cyber Security Newsby Cybernewswire ()3 min read1 · 1 read
Part of a story covered by 2 sourcesReflectiz launches agentic pentesting for websites, claiming up to 10x coverage vs conventional pentestsMerged summary & timeline
AI summary · glm-5.3-flashSummaries by Vani AI

Reflectiz released an agentic penetration testing platform using specialized AI agents to discover, attack, and validate web vulnerabilities with independently validated findings.

Reflectiz announced a multi-agent penetration testing capability for websites, part of its new Offensive Hub alongside Security Hub and Privacy Hub. Four agent roles map, fingerprint, attack, and validate web applications, with claims of up to 10x coverage over conventional pentesting due to pre-existing site models. Results are delivered with reproduction steps and coverage maps, and integrate via REST API, CI/CD triggers, and Slack. This syndicated CyberNewswire press release duplicates the vendor announcement.

Key facts
  • Four coordinated agent roles: crawling, stack fingerprinting, attack chaining, and independent validation.
  • Testing claims full OWASP Top 10 coverage with per-flow depth controls for critical assets.
  • Atlas AI remediation agent explains risks and walks teams through fixes.
  • Announcement is vendor marketing; performance claims lack third-party validation.
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From the original article

3 min read at cybersecuritynews.com

Boston, MA, USA, September 8th, 2026, CyberNewswire Specialized team of AI agents that discover, attack, and validate web vulnerabilities, leveraging pre-existing site context to eliminate noise and speed remediation. Reflectiz, the continuous web exposure management company, today launched a multi-agent penetration testing platform for websites.

Cyber Security News

By Cybernewswire · cybersecuritynews.com

Read the full article at Cyber Security News

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.