Knife: AI Penetration Testing

Fully automated AI pen testing, validated by elite human testers

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Knife vs. traditional penetration testing

Comparison Traditional pen test Knife + VerSprite consultant
Endpoints covered per week 50–200 500–1,000+
Time to first finding Weeks (at report delivery) About 5 minutes
Testing cadence Point-in-time snapshot Continuous between retests
How findings arrive PDF report Live feed, plus a validated report
Cost basis Senior consultant hours AI compute plus senior validation
Relative unit cost Baseline About 30%
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Hybrid Penetration Testing Case Study

Knife Case Study

Same app. Same scope. Two tests. Two findings in common.

Same application. Same scope. Same credentials. We pointed Knife, our AI-driven assessment platform, and a senior consultant at one back-office portal and compared notes. Out of 20 findings, they agreed on two. This case study is what hybrid penetration testing looks like when you actually measure it.

Frequently Asked Questions

Knife is VerSprite’s adversarial AI platform for automated penetration testing. More than 20 specialist AI agents test every endpoint of an application in parallel and stream findings in real time, while VerSprite’s CREST-accredited consultants validate, prioritize, and chain those findings into business-impact attacks.

A traditional pen test is a point-in-time snapshot limited by consultant hours, typically covering 50 to 200 endpoints in a week and delivering findings weeks later in a PDF. Knife’s AI agents cover 500 to 1,000 or more endpoints in the same window, run continuously between engagements, and stream findings within minutes of traffic capture. Figures are based on VerSprite internal benchmarks and vary by application.

No. Knife handles breadth, and VerSprite consultants handle judgment. AI agents crawl the attack surface and test every endpoint, while human experts validate and triage findings, chain vulnerabilities into real attacks, hunt business-logic and authorization flaws, and own the final report.

Knife’s agents test for SQL and NoSQL injection, cross-site scripting, CORS misconfiguration, open redirects, password weaknesses, user enumeration, insecure direct object references (IDOR), MFA bypass, missing or weak security headers and Content Security Policy, cookie security issues, and information disclosure. Every finding is mapped to CWE, CVE, CAPEC, and OWASP Top 10 references.

First findings typically stream within minutes of traffic capture, coverage broadens within the first hour, and senior validation begins on day one. Results appear live in the Knife client portal, so remediation can start immediately instead of waiting weeks for a report.

Knife deploys as a single-tenant instance on the client’s infrastructure or VerSprite’s, and all traffic, findings, and evidence stay inside that tenant. AI models reason about test traffic only, with production secrets and personal data masked before prompts. Agent tools are scope-locked and sandboxed, credentials are encrypted at rest, and every agent request is logged for audit.

Knife uses AI to test your applications. VerSprite’s AI Hacking Services test your AI systems, such as LLM-powered applications and models, for adversarial weaknesses. Organizations building AI features often use both.

Start with a 45-minute discovery call to scope your application. Next is a 30-day pilot in which Knife runs alongside a VerSprite consultant on one application, with live findings from day one and a joint report by day 30. Production onboarding with a dedicated tenant follows in week one.

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