// Adversary emulation for the AI era
We emulate
the AI-era attacker.
What attackers are doing right now
- 40+
- corporate tenants breached
- 2,100
- Azure AD token sets stolen
- 34
- hours, start to finish
One criminal crew. AI agents did nearly all the work. This is the pace your defenses now face.
Enterprise scale. Machine speed. Human judgment.
We bring this kind of attack to your environment first, under your rules. Principals who ran Fortune 50 offensive programs run yours; AI widens the search, our operators prove what is real.
Our agent found a permissions flaw in a test web app. Before touching any client data it stopped and asked a person for approval. Result: one High finding, validated, in 5 min 28 s.
- Recon started
- Found a sensitive user
- Abused a logic flaw to reach restricted test data
- Asked a person for approval
- Documented the attack chain
- Showed the leak with made-up data
- Wrote the report
- Validated it, no false positives
- Gave defenders clues to hunt it
- agentRuns the engagement invoke_agent web-recon-agentroot span, starts at 0 ms, 5m 28sscope: app.example.com (203.0.113.24)warn
- toolScans the test app http_probechild of invoke_agent web-recon-agent, starts at 412 ms, 6.85 s14 hosts, 3 web services, 61 API routesT1595.002
- toolFinds a user who holds sensitive data account_reviewchild of invoke_agent web-recon-agent, starts at 11.3 s, 9.14 sseeded test user A: billing admin, 2 client invoicesT1087
- toolUses a logic flaw to read A's data as B authz_diffchild of invoke_agent web-recon-agent, starts at 21.8 s, 48.2 sseeded test users: B's token returns A's test invoiceT1190warn
- eventAsks a person before touching client data operator_checkpointchild of invoke_agent web-recon-agent, starts at 1m 12s, 2m 12soperator approves reading 2 client records
- toolRecords the attack path with evidence evidence_capturechild of invoke_agent web-recon-agent, starts at 3m 24s, 9.47 s2 client records read; hashes logged; 4-step chainT1213
- toolShows the leak with made-up records synthetic_exfilchild of invoke_agent web-recon-agent, starts at 3m 34s, 38.2 sschema: 14 fields; 200 synthetic invoices pulledT1567
- llmWrites the report chat report_draftchild of invoke_agent web-recon-agent, starts at 4m 13s, 41.7 sfinding, impact, fix; 1,240 words9,318 → 1,604 tok
- evalRe-checks it to rule out a false positive finding_scorerchild of invoke_agent web-recon-agent, starts at 4m 55s, 27.4 sHigh: broken object-level authorization; reproduced twice
- toolHands defenders clues to hunt with ioc_exportchild of invoke_agent web-recon-agent, starts at 5m 23s, 4.11 s6 IOCs: 3 request paths, 2 user agents, 1 test account
In a lab, our agent found an unknown flaw in a network device's software. A person approved a harmless proof. The logs caught it; the endpoint security tool did not. Result: a detection gap filed in 29 min.
- Took the device software apart
- Found the flaw
- Asked a person for approval
- Ran a harmless proof
- Checked the logs
- Checked the endpoint security tool
- Scored detection coverage
- Filed the gap
- agentRuns the exercise in a lab invoke_agent purple-loop-agentroot span, starts at 0 ms, 29m 03slab only: edge-gw fw 4.2.1, latest releasewarn
- toolTakes the device software apart ghidra.decompilechild of invoke_agent purple-loop-agent, starts at 1.2 s, 3m 07s1,412 functions; upload parser flagged
- llmSpots the flaw chat analyze_diffchild of invoke_agent purple-loop-agent, starts at 3m 08s, 21.5 sunchecked length (LAB-0412); unreported, disclosure opened11,872 → 1,406 tok
- eventAsks a person for approval operator_checkpointchild of invoke_agent purple-loop-agent, starts at 3m 30s, 6m 42sbenign marker proof approved, lab target
- toolProves it with a harmless marker proof_runchild of invoke_agent purple-loop-agent, starts at 10m 12s, 14.9 smarker file written in the lab sandboxT1190
- toolChecks what the logs saw elastic.esqlchild of invoke_agent purple-loop-agent, starts at 10m 29s, 3.27 slogs-edge-gw* /upload*: 4 hits
- toolChecks what the endpoint security tool saw falcon.event_searchchild of invoke_agent purple-loop-agent, starts at 10m 33s, 8.84 schild process on host; 0 detectionsT1059warn
- evalScores how much was caught detection_coveragechild of invoke_agent purple-loop-agent, starts at 10m 59s, 1.08 spartial: 1 of 3 stages detectedwarn
- toolFiles the gap for the defenders tracker.file_gapchild of invoke_agent purple-loop-agent, starts at 11m 01s, 2.73 sDET-0412 opened; 2 detection rules proposed
What We Do
Offensive Security Services
Three tiers, one standard: every finding is exploited and confirmed by hand before you see it.
Assess
Goal-oriented penetration testing of your applications, cloud and identity, networks, and AI systems. A principal operator leads; AI widens the search and the operator proves each finding by hand.
See the Assess tierValidate
Adversary emulation, purple team and social engineering that test your detection and response. You learn what your team sees, how fast it reacts, and where the gaps are.
See the Validate tierSustain
Continuous validation that re-tests every fix and emulates new attacker tradecraft. Capability development that leaves your team with tooling and training it runs on its own.
See the Sustain tierWhy Todosec
Experience That Matters
Our principals bring decades of combined hands-on offensive security experience across industries. Every engagement is run by the people who did that work.
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Deep expertise from Fortune 40 companies to startups
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Tailored approaches for your unique business context
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Real-world attack methodologies and techniques
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Clear, actionable reporting with remediation guidance
Ready to Test Your Defenses?
Let's discuss how our offensive security services can help strengthen your organization's security posture.
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