// ABOUT REVAIZOR

Offensive Security,
Reimagined.

We're building the autonomous AI red team-turning penetration testing from a slow, manual service into a continuous, software-native operation.

01The Problem

Penetration testing hasn't kept pace with how software ships. Teams deploy daily; pentests happen annually. Scanners flood you with theoretical vulnerabilities; attackers find the ones that actually work. Manual testing takes weeks and scales with headcount, not compute.

The result: security programs that are perpetually behind, understaffed, and reactive. Compliance checkboxes get ticked, but real attack paths stay open.

02Our Approach

Revaizor is an autonomous AI penetration testing platform. At its core is the AI Commander-an agentic AI that plans, executes, and adapts real attacks against your systems.

You define the mission: scope, rules of engagement, objectives. The AI handles execution-provisioning environments, selecting tools, chaining findings, validating exploits, and producing reports. Hours, not weeks. Continuous, not episodic.

This isn't a scanner with an AI label. It's not a chatbot that suggests attacks. It's an autonomous operator that reasons about targets, makes strategic decisions, and discovers attack paths that weren't in any playbook.

03What Makes Us Different

Agentic AI, Not Automation

LLM-based reasoning that adapts mid-test, not rule-based playbooks that follow if-then scripts.

Validated Exploits, Not Lists

Proof of exploitation, not theoretical vulnerability counts. We show what attackers can actually do.

Hours, Not Weeks

Missions complete in hours. Run after every release, not once a year for compliance.

Multi-Surface Coverage

Web, API, mobile, source code, and network-all from a single mission definition.

"The difference between rule-based automation and agentic AI is like the difference between cruise control and a self-driving car. One follows a set speed; the other navigates traffic."

04Governed AI

Autonomous doesn't mean uncontrolled. Every Revaizor mission operates within explicit bounds:

  • →Rules of Engagement define what's in scope and what's off-limits
  • →Bounded environments isolate operations from production risk
  • →Complete audit trails log every decision for compliance and review
  • →Human oversight via Mission Director for sensitive operations

05Why Now

Three forces are converging:

  1. Agentic AI is finally capable. LLMs can now plan multi-step operations, use tools, and adapt to complex environments-capabilities that weren't possible even two years ago.
  2. Attack surfaces are exploding. APIs, microservices, mobile, cloud-native infrastructure. The traditional pentest model can't keep up.
  3. Security talent is constrained. There aren't enough human pentesters to cover every deployment. The only way to scale is to change the model.

Our mission is to give every organization access to world-class offensive security-continuously, autonomously, and at scale.

Ready to see your systems the way an attacker would?

START A MISSION