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Proof, not promises.

A look at how we work — anonymized to protect our clients. Names and identifying detail are removed by design; the tradecraft and outcomes are real.

All case studies are anonymized at our clients' request. Your results never become our marketing — these are illustrative of approach and impact only.

Financial Services · Red Team

Closing the path to the cardholder data environment

A global payments provider asked us to test one assumption: could an attacker reach the CDE from a standard employee laptop?

Challenge

Years of point-in-time pentests had each passed, yet leadership had no confidence in how those isolated findings chained together across identity, network, and cloud.

What we did

A full-scope, objective-based red team starting from an assumed-breach laptop. We chained four individually "medium" issues into a single path to the cardholder data environment, then partnered with engineering to sever it.

1critical path closed
0repeat findings on retest
3 wksto validated fix

Healthcare SaaS · Product Security

Hardening a platform before a high-stakes launch

A health-data startup needed assurance their new multi-tenant platform was safe before onboarding its first enterprise customers.

Challenge

A fast-moving team shipping a complex tenancy model, with regulated data and a launch date that could not slip.

What we did

A combined source-code review and application assessment focused on tenant isolation and access control, run in parallel with development so fixes landed before launch — not after.

5criticals fixed pre-launch
2tenant-isolation flaws
On timelaunch unaffected

Critical Infrastructure · Adversary Simulation

Turning a blind spot into a detection win

An energy operator wanted to know whether their SOC could actually see a determined intruder — not just whether one could get in.

Challenge

Heavy investment in detection tooling, but no recent, realistic test of whether the blue team could detect and respond to current adversary tradecraft.

What we did

A purple-team-style adversary simulation emulating a named threat group, run collaboratively so every missed detection became a tuned, tested rule by the end of the engagement.

41% → 88%techniques detected
12new detections shipped
1tabletop-ready playbook

Your environment, your results.

Every engagement is scoped to your risk and kept strictly confidential. Let's talk about what proof would look like for you.

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