AI pentesting you can trust and repeat

Upload a diagram and get a living risk map the same day.

Why this slows you down

It's 01:07.

The window is closing.

Tabs multiply: Burp, Nmap, proxy certs, a brittle pentest checklist in a chat thread.

One wrong flag throttles prod; one missed scope note derails the run.

You're expected to be fast and flawless.

The fear of being the blocker sits in your chest.

It should be possible to ship fast and safe.

What you deal with today

Setup drag: Setup Kali, create pentest workflow, and environment drift between runs.
Tool chaos: CLI scripts, browser plug-ins, proxies, containers, pentest tool versions and flags never quite align.
Output chaos: screenshots in docs, one-off JSON, hand-copied commands weak audit trails and poor reproducibility.

What changes with Excalibur

Drag nodes (Recon, Exploit, Verify, Report). See every generated command before it runs. Then execute it with confidence.
You approve sensitive steps; Humans are the best safety engine, flaging potentially destructive actions.
Run on-prem; role-based approvals and full audit trail. Your data stays with you.
Inputs, outputs, hashes and artefacts captured. One-click execute your complex workflow. So easy even your manager can do it.

How you get there

  1. 1
    Start from a template (API, web app, mobile) or a blank canvas.
  2. 2
    Drag blocks, set targets and scope, preview the exact commands.
  3. 3
    Approve & run in sandbox/staging; export evidence and open issues.
✓Private by design. Human review on every sensitive step.

What success looks like

Pentests changes from complex tool/cli based execution to a visual platform where runs become repeatable playbooks.

Time-to-repro drops to minutes.

MTTR improves because security engineers receive step-by-step proof they can re-run.

Your pentests* stop being heroic one-offs and start compounding.

* Aligned with recognised pentest practice (e.g., OWASP Testing Guide) and mapped to ATT&CK tactics for shared language.

AI pentesting you can trust and repeat

Upload a diagram and get a living risk map the same day.

Why this slows you down

It's 01:07.

The window is closing.

Tabs multiply: Burp, Nmap, proxy certs, a brittle pentest checklist in a chat thread.

One wrong flag throttles prod; one missed scope note derails the run.

You're expected to be fast and flawless.

The fear of being the blocker sits in your chest.

It should be possible to ship fast and safe.

What you deal with today

Setup drag: Setup Kali, create pentest workflow, and environment drift between runs.
Tool chaos: CLI scripts, browser plug-ins, proxies, containers, pentest tool versions and flags never quite align.
Output chaos: screenshots in docs, one-off JSON, hand-copied commands weak audit trails and poor reproducibility.

What changes with Excalibur

Drag nodes (Recon, Exploit, Verify, Report). See every generated command before it runs. Then execute it with confidence.
You approve sensitive steps; Humans are the best safety engine, flaging potentially destructive actions.
Run on-prem; role-based approvals and full audit trail. Your data stays with you.
Inputs, outputs, hashes and artefacts captured. One-click execute your complex workflow. So easy even your manager can do it.

How you get there

  1. 1
    Start from a template (API, web app, mobile) or a blank canvas.
  2. 2
    Drag blocks, set targets and scope, preview the exact commands.
  3. 3
    Approve & run in sandbox/staging; export evidence and open issues.
✓Private by design. Human review on every sensitive step.

What success looks like

Pentests changes from complex tool/cli based execution to a visual platform where runs become repeatable playbooks.

Time-to-repro drops to minutes.

MTTR improves because security engineers receive step-by-step proof they can re-run.

Your pentests* stop being heroic one-offs and start compounding.

* Aligned with recognised pentest practice (e.g., OWASP Testing Guide) and mapped to ATT&CK tactics for shared language.

Take it for a spin

Take it for a spin

Take it for a spin

Case study of Pentest Reporting

Case study of Pentest Reporting

Case study of Pentest Reporting