Knife: AI Penetration Testing
Fully automated AI pen testing, validated by elite human testers
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Knife is VerSprite’s adversarial AI platform for automated penetration testing. More than 20 specialist AI agents test every endpoint of your application in parallel. Findings stream to you in real time, and VerSprite’s CREST-accredited consultants validate, prioritize, and chain those findings into real business-impact attacks. The result is roughly 5× the endpoint coverage of a traditional pen test at roughly 30% of the unit cost.
- ~5× endpoints reached per engagement
- ~30% of a traditional pen test budget
- Hours, not weeks, from capture to first finding
Why point-in-time pen testing leaves gaps
Even the best penetration test is a snapshot of one moment. Modern applications change faster than annual or quarterly engagements can keep up with. That leaves three gaps.
- Cadence. Quarterly tests miss what shipped on Tuesday. Code velocity outpaces the engagement calendar, and the time between tests is where exposure accumulates.
- Breadth. Human time is finite, and attack surface isn’t. In a typical week, a consultant reaches only a fraction of a modern application’s endpoints, and adversaries probe the rest.
- Latency. Weeks spent waiting for a report are weeks of unaddressed risk. Findings exist long before the PDF arrives, but they sit in a consultant’s notes instead of reaching your team.
How Knife works: AI does the breadth; consultants do the judgment
Knife is trained to emulate the techniques of VerSprite’s own CREST-accredited offensive testers. It brings human-grade adversarial reasoning to every endpoint your application exposes, running continuously and in parallel. One engagement gives you two layers of testing and one accountable team.
What Knife’s AI agents do:
- Crawl the live attack surface autonomously
- Test every endpoint against every payload class
- Run continuously between human engagements
- Stream findings the moment evidence appears
What VerSprite consultants do:
- Chain individual vulnerabilities into business-impact attacks
- Validate, prioritize, and triage AI findings
- Hunt business-logic and authorization abuse
- Own the executive narrative and the final report
The Knife pipeline: from traffic capture to finding
- Capture. A browser or MITM proxy, plus an LLM-driven crawler, discovers the application’s attack surface.
- Triage. Each request and response is classified, so it reaches the right specialist agents.
- Analyze. More than 20 specialist agents test the target in parallel.
- Findings. Results are typed, evidenced, and deduplicated before anyone reviews them.
- Dashboard. You see what’s being found in real time.
20+ specialist agents working on your application
- Active testing (10 agents): SQL injection, SQL injection exploitation, cross-site scripting (XSS), NoSQL injection, CORS misconfiguration, open redirect, password weaknesses, status code analysis, user enumeration, and JavaScript analysis.
- Passive analysis (7 agents): Content Security Policy, cookie security, HTTP security headers, header information leakage, error handling, information disclosure, and query string exposure.
- Authorization testing (2 agents plus triage): Insecure direct object reference (IDOR) and MFA bypass, supported by authorization triage that tracks cross-event facts and per-user identifiers.
- Orchestration (4 agents): Traffic triage, LLM crawling, authenticated login flow handling, and finding review.
The agents share state through an append-only findings record. This prevents race conditions and conflicting results while tests run in parallel.
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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Findings built for remediation, not just reporting
Typed and evidenced. Every finding follows a validated template, such as SQL injection, missing CSP header, or weak TLS configuration. Each includes proof of concept and reproduction steps.
Mapped to standard taxonomies. CWE, CVE, CAPEC, and OWASP Top 10 references are stamped on every finding, so routing into your ticketing and reporting workflows can be automated.
Deduplicated. Fingerprint hashing collapses duplicate results, so consultants review signal instead of noise.
Tracked by host, across engagements. Findings belong to the host, not to the engagement that found them, and the record never changes after the fact. History builds with every test run, so each retest shows what was fixed, what regressed, and what’s new. For example:
- Q1: a baseline of 12 findings.
- Q2 retest: shows 5 fixed and 2 new findings from a feature release.
- Q3 retest: shows 1 regression and 3 new findings from an API expansion.
Watch your test happen in real time
The Knife client portal streams findings, active agent jobs, and test events live. Your security and engineering teams see critical and high-severity issues as they’re discovered, with no waiting for the PDF. Remediation can start on day one instead of week four.
Built for the CISO’s threat model
- Single-tenant deployment. Knife runs as a dedicated tenant on your infrastructure or VerSprite’s.
- Your data stays in your tenant. All ingested traffic, findings, and evidence remain inside the deployment you control.
- Scope-locked AI. Models reason about test traffic only. Production secrets and personal data are masked before any prompt is sent.
- Sandboxed tools. Agent HTTP activity is locked to the approved scope, and destructive database operations are blocked.
- Role-based access. Separate admin and consultant tiers, with hardened session handling.
- Encrypted credentials. Per-host login credentials are encrypted at rest, and API keys are stored only as hashes.
- Fully auditable. Every HTTP request an agent makes is logged with the agent, user, and engagement that triggered it. Findings, jobs, and events can’t be changed after they’re recorded.
Get started with Knife
- Discovery: a 45-minute scoping call. We map your application, identify priority hosts, and confirm the pilot scope with your SecOps and product leads.
- Pilot: one application, 30 days. Knife runs alongside a VerSprite consultant on a single application. You see live findings on day one and receive the joint report by day 30.
- Onboard: a production tenant in week one. We provision your dedicated tenant with your roles and engagements, and deploy the capture proxy to your testers’ workstations.
Related services
- Penetration Testing as a Service (PTaaS)
- Penetration Testing
- Web Application Security Services
- AI Hacking Services
- Red Teaming
Ready to see Knife on your application?
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.
We’re Not a Vendor We’re Your Security Partner
- Risk-Centric Security
- True Extension of Your Team
- Executive-Level Experience