Replace manual pentests
The annual report goes stale the day it lands.
CyberStrike replaces the project-based, point-in-time pentest with continuous, AI-augmented testing: faster to the first findings, and deeper on the attack surface, because a team of agents mines every endpoint, parameter, and role in parallel rather than sampling what fits in a calendar. Human-validated, delivered in days, not months.
- Baseline
- Days, not weeks
- Cadence
- On every change
- Depth
- Deeper surface mining
- Validation
- Human in the loop
- Pricing
- Flat, or self-host free
Why it matters
A point-in-time pentest is a snapshot of a system that already moved.
A project-based pentest is a few testers against a frozen scope for a few weeks, once or twice a year. By the time the report lands, the app has shipped again. CyberStrike replaces that with continuous, AI-augmented testing: faster to the first findings, and deeper on the attack surface, because a team of agents can mine every endpoint, parameter, and role in parallel instead of sampling what fits in a calendar. We wrote about how this works in Beyond the Scanner and How we do agentic web testing.
How it works
Scope once, baseline in days, then test on every change, forever.
Step 01
Scope once
Define your environments one time. No re-scoping per engagement, no month-long procurement cycle before testing can begin.
Step 02
Baseline in days
Initial findings arrive within days of kickoff, not the four to eight weeks a traditional firm needs to spin up.
Step 03
Deeper, not shallower
A team of AI agents mines the full attack surface in parallel, every endpoint, parameter, and role, and chains weaknesses into real attacks. Depth is not capped by a tester's calendar.
Step 04
Continuous and audit-ready
Testing re-triggers on every code change, and every finding ships with replayable evidence and a human review, so the output stands up to an audit.
What changes when you switch
Faster. First findings in days; new findings within hours of a change, not at the next annual cycle.
Deeper. Agents explore the whole surface at once and chain findings, so coverage goes past what a time-boxed sample reaches.
Human-validated, and yours to keep. The AI augments testers, a human signs off, and because the engine is open source you can run it yourself, with no per-engagement credits.