Labs

Adversary Simulation Lab
Campaigns that force truths to surface.

We simulate how real attackers operate inside cloud-first organizations: staged objectives, alternative pivots, non-malware persistence, identity abuse, SaaS tradecraft, and alert fatigue exploitation. The goal is not “proof of compromise.” The goal is understanding whether you would detect, contain, and recover when a motivated adversary attacks your incentives, not your firewall.

Multi-stage campaigns Noisy & stealth variants Cloud & identity intrusion paths

We don’t role-play criminals—we role-play incentives. Attackers seek access, leverage, persistence, and optionality. Good simulation makes those pressures visible.

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Scope

What we simulate

Not “click malware → scoreboard.” We pressure-test identity, resilience, coordination, and decision-making across cloud and internal ecosystems.

Identity

Privilege brokerage & coercion

  • Credential reuse & low-visibility role elevation
  • Shared mailbox → tenant-wide impact
  • Entra ID & Workspace administration pivots
Cloud

No-malware persistence paths

  • OAuth consent abuse & refresh token longevity
  • App registration → automation → second-stage access
  • Long-lived service accounts & ungoverned integrations
SaaS

Workflow exploitation

  • Mailbox rules → exfil without data egress alerts
  • CRM + ticketing → identity pivot opportunity
  • Shared automation & webhook chains
Method

How we design simulations

Campaigns aren’t exercises in cleverness—they are controlled experiments about your ability to detect, coordinate, and act.

Adversary modeling

Tradecraft sourced from active threat groups, not CWE lists. We simulate constraints and motivations.

Variant paths

Loud vs stealth. Lateral vs SaaS-native. We test whether detection is accidental or durable.

Decision capture

The most useful data isn’t “could we detect?” but: When did you know, who acted, and what blocked progress?

Outcome

What you get

The final deliverable is not a trophy or a PDF scar. It is a working map of how to get stronger.

Evidence of detection durability

Logs, pivot points, signals, and missed windows that predict failure modes.

Containment pathways

What you had to shut down, why, and how production risk emerged.

Cross-team friction map

Places where handoffs failed, tools broke, or permissions trapped responders.

Opinionated remediation

Cloud, identity, policy, and SaaS controls that close real gaps—not vendor checkboxes.

Ready for a campaign that reveals the real picture?

We design adversary simulations that change how teams think about incident response, not just penetration tests.

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