Simbian AI Pentest Agent

Vendor: Simbian · HQ: United States · Category: Security

Last verified · Added · 2 sources · How we verify

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What it does

Simbian launched its AI Pentest Agent on Feb 19, 2026. Simbian's release describes it as an autonomous reasoning engine that adjusts its testing logic in real time based on how an application responds, aiming to find business-logic flaws that fixed-rule scanners miss and to confirm exploitability rather than flag theoretical issues. It uses business context so findings reflect each customer's specific risks and priorities, and it was developed with risk-management firm LRQA, drawing on LRQA's CREST-certified pentesting methodology. The product page positions it as ongoing, on-demand testing of web applications wired into the SOC. The Feb 19, 2026 release says the web-application agent is available immediately, with SaaS, Dedicated SaaS and on-premises deployments. Access is request/Get Started, not a documented self-serve free trial. Simbian also sells AI SOC agents; only the pentest agent is listed here. Deployment figures on the pages are vendor claims.

Frameworks

No framework tags verified yet.

Pricing (as published)

Published on simbian.ai/ai-pentest-agent: Standard $4,000 per pentest; Premium $8,000 per pentest; Custom by quote. Vendor page says up to five retests are included. Deployment modes in the launch release: SaaS, Dedicated SaaS and on-premises.

Tasks

pen test managementattack surfacevulnerability managementexposure management

Sources

  1. simbian.ai/ai-pentest-agent (primary)
  2. simbian.ai/press-releases/simbian-launches-autonomous-ai-pentest-agent-to-close-window-of-exposure-for-global-enterprise-security

Last verified 18 Oct 2026. Framework tags indicate relevance, not certification; “vendor-claimed” items are as marketed by the vendor. Spotted an error? Submit a correction or email sales@heritageservices.online. See our methodology.

Not legal or audit advice. Confirm current pricing, framework coverage and India-regulatory claims with the vendor before purchasing.

Use-case comparisons

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