Adversary simulation, three weeks to six hours.
Before
Three-week cycle to validate a single new tactic. Five engineers stitching together tooling that didn't talk to each other.
After
Tactics ship in under a day. One engineer owns each workflow end-to-end. Five initiatives run in parallel where one used to.
Six hours to validate a tactic, from three weeks. One engineer per workflow, not five. 100+ runners hold 500,000+ subdomains, 24/7.
ASM to findings, 11 nodes
What they run
One graph, four jobs.
Seed-driven ASM
One seed, a domain or host, expands into the full estate through OSINT, DNS, and live-host probing.
CVE proof-of-concept matching
The Trickest CVE feed pulls fresh proofs daily and matches them to the technologies each host runs.
Authenticated web-app scanning
Bearer tokens, SAML sign-on, and login flows, scanned in parallel across every application.
Deduplicated findings
Modular checks tag and rate results, drop duplicates, and land them in one report.
Where they started
The team ran adversary-simulation campaigns against the firm's own infrastructure — a Fortune-500-sized estate of public services, internal applications, and partner integrations. The work was important, well-funded, and stuck.
Validating a single new TTP took three weeks. Most of that time wasn't research — it was orchestration. Stitching enumerators, scanners, parsers, and reporting into one pipeline. Maintaining the scripts that glued them together. Coordinating five engineers around a workflow that wouldn't fit in one person's head.
What changed
They moved the orchestration off bespoke scripts and onto Trickest workflows. Each tactic became a graph: a composition of tools from the library, agents where reasoning was useful, and distribution where parallelism was. The same DAG ran on their infrastructure, against their targets, with their secrets.
Fleet handles the fan-out. A single workflow node can dispatch across hundreds of ephemeral runners, so the engineers stopped writing queue managers and started writing tactics.
What it shipped
Tactic-to-production dropped from three weeks to under a day. Each campaign is owned end-to-end by one engineer instead of five. The four engineers that came back are running four more initiatives — five parallel campaigns where there used to be one.
Coverage went from periodic to continuous: 100+ auto-scaling runners hold 500,000+ subdomains under live monitoring. The data lands in queryable tables, not PDFs.
The data lands in queryable tables, not PDFs.
The output
Findings your team can query.
Every run structures itself into a typed table. You filter, sort, and export, instead of reading a PDF.
| subdomain | port | finding | severity |
|---|---|---|---|
| api-v2.target.trickest.net | 443 | SQL Injection | CRITICAL |
| jenkins.target.trickest.net | 8080 | Default Credentials | CRITICAL |
| admin.target.trickest.net | 8443 | Exposed Admin Panel | HIGH |
| auth.target.trickest.net | 443 | JWT Not Verified | HIGH |
| dashboard.target.trickest.net | 443 | CSRF Token Missing | MEDIUM |
| cdn.target.trickest.net | 443 | Missing Security Headers | LOW |
Illustrative. Sample data, not the customer's findings.
Integration
Findings flow into their datalake.
The final node imports every finding into their Google BigQuery datalake, queryable beside the rest of their security data.
Other ways out
Get a personalized demo
See it run in your environment.
A 30-minute walkthrough. We map the workflow to your stack and answer pricing, deployment, and access control for your team.