Proprietary Technology
Most consultancies run the same off-the-shelf scanners everyone else has. We built our own — a live threat-intelligence platform, and an exploitation engine that feeds from it — so our testing is anchored to what is actually being exploited, and sharper than a static checklist.
Why It Matters
Off-the-shelf scanners give every firm the same output. When you own the stack, the work is different: testing follows live, real-world exploitability rather than a vendor's severity label, findings arrive with a demonstrated path rather than a number, and prioritization is validated by data rather than guessed.
We have built and refined this technology in-house since 2021. It is not a product we license or install in your environment — it is the internal engine that makes our penetration testing and assessments sharper than a checklist.
Two systems, one workflow. The platform gathers and enriches the intelligence; Crimson consumes it to score, target, and exploit. Together they keep every engagement anchored to what attackers are actually doing right now.
What We Built
Our own platform continuously aggregates public security reporting and enriches it with CVE, breach, and adversary-technique analysis — a live picture of the threat landscape that grounds our testing and advice.
Crimson turns scan data into ML-scored targets, pulls live exploit intelligence for each one from the platform, and drives guardrailed exploitation — the engine that makes our testing follow real exploitability.
See what it produces. The platform does not just run in the background of our engagements — it generates intelligence you can read. Our Q2 2026 Threat Briefing distills a quarter of it into the trends that mattered and the priorities that follow.
In Your Engagement
You do not interact with the platform or Crimson directly, and there is nothing to buy, license, or deploy. What you get is the result: testing that reflects the current threat landscape, priorities validated against real exploitability, and findings that come with a demonstrated attack path rather than a severity score to argue about.
It also works where connectivity does not. In isolated or air-gapped environments, the same intelligence reaches the engagement through an offline exchange, so classified and disconnected networks still benefit from current data.
A track record, not a trend. We applied artificial intelligence, machine learning, and data analytics to penetration testing since 2021 — well before it became an industry talking point. This technology is where that work lives.
Our technology is not something we sell you — it is what makes the testing you buy from us better. Tell us what is in scope and we will show you how it applies.