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

GBHackersby 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 launched a multi-agent AI penetration testing platform for websites, claiming up to 10x more coverage than conventional pentests by leveraging existing site context.

Reflectiz, a web exposure management vendor, announced an agentic penetration testing product within a new Offensive Hub. The platform uses specialized AI agents for crawling, stack fingerprinting, attack execution, and independent validation, claiming to cover the OWASP Top 10 and reduce false positives. Findings integrate with existing workflows via REST API, CI/CD triggers, and Slack, and an AI remediation agent named Atlas guides fixes. The announcement is a vendor press release with a planned September 15 webinar demo.

Key facts
  • Multi-agent pentesting platform built on a decade of site-scanning context for production websites.
  • Independent validator agent reproduces every finding before reporting to cut false positives.
  • Rules and findings route into REST API, CI/CD, and Slack; remediation guided by Atlas agent.
  • Vendor claims 10x coverage versus conventional pentesting; claims are not independently verified.
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From the original article

3 min read at gbhackers.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.

GBHackers

By CyberNewswire · gbhackers.com

Read the full article at GBHackers

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.