All services { OFFENSIVE_SECURITY }

Your worst-case scenario.
Simulated.

Multi-week engagements that simulate a real threat actor against your organization. Tailored to your industry, your regulators, and the scenario that keeps your board awake.

Senior offensive engineers Feeds the Decision Engine
  • 60% mean time to detect, post-exercise
  • detection coverage of adversary patterns
  • 100% of paths re-validated by the platform

Based on competitors' benchmarks, unified into one platform.

{ THE_ENGAGEMENT }

Threat-led testing, the way regulators want it.

TIBER-EU and iCAST aligned process. Purple-team co-engagements with your defensive function. Insider-threat and supply-chain scenarios designed against your real adversaries, not a generic playbook.

01 TIBER-EU / ICAST ALIGNMENT

TIBER-EU / iCAST alignment

Process and reporting that meets the EU's threat-led testing standards.

02 PURPLE TEAM

Purple team

Co-engagement with your defensive team so the learnings stay in-house.

03 INSIDER & SUPPLY-CHAIN

Insider & supply-chain

Scenarios that simulate the threat actors your industry actually faces.

04 EXECUTIVE READ-OUT

Executive read-out

A board-level briefing alongside the engineer-level diagnosis.

{ ENGAGEMENT_VIEW }

Every finding lands
in the same ranked plan.

The team leaves the engagement with the same artifact the platform produces every day: a short, ranked plan, the chain each item severs, and the asset it protects. Same shape as the Decision Engine queue.

App screenshot here: offensive security engagement report Ranked findings with severed attack paths, protected assets, and regulator-ready evidence packs. APP SCREENSHOT
{ HOW_IT_FEEDS_THE_PLATFORM }

Services sharpen the platform.
The platform multiplies the services.

See the platform
{ ENGAGEMENT_TIMELINE }

From kickoff
to ranked plan.

A scoped engagement, run by senior engineers, with weekly progress in the same view the platform uses. No surprises in the read-out, because the read-out is the same view your team is already watching.

Design an exercise
App screenshot here: engagement timeline view Weekly view of in-flight engagements, with severed paths counted as they close. APP SCREENSHOT
{ OUTCOME }

Your defenders rehearse against you, before they rehearse against an attacker.

The exercise leaves your team faster, your detection signals tuned, and the Decision Engine watching for the paths we found.

  • 60% mean time to detect, post-exercise
  • detection coverage of adversary patterns
  • 100% of paths re-validated by the platform

Based on competitors' benchmarks, unified into one platform.

{ NEXT_STEP }

See how you'll get breached,
before it happens.

No assumptions. No noise. Just real attack paths. The decisions waiting at the end of an attack simulation are the ones your team would otherwise miss.

Based on your real infrastructure.

Guarded by hackers. Empowered by AI.