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Offensive security
Make Offensive Security Move
Turn your team's discovery, testing, validation, red team, and reporting methods into AI-assisted workflows that run continuously, scale with your attack surface, and leave evidence behind.
Why offensive security is hard to scale
Surfaces grow faster than specialist time. Knowledge stays trapped in one-off pipelines. Point-in-time tests go stale.
Offensive security is becoming too broad to run manually
Attack surfaces now span web apps, APIs, cloud services, subsidiaries, third parties, exposed infrastructure, and AI-powered systems. Teams need to test more scope, more often, but much of the work still depends on manual discovery, scripts, scanner wrangling, and specialist time.
Attackers are moving faster with automation and AI
Discovery, target selection, vulnerability research, exploit adaptation, and chaining are becoming faster and cheaper. Defenders need similar speed, but with scope control, approvals, traceability, and evidence.
Red team knowledge is hard to repeat
Strong teams build custom methods, internal scripts, toolchains, validation logic, and reporting patterns. But that knowledge is often trapped in people's heads, local environments, or one-off pipelines, making it difficult to reuse, share, schedule, or scale.
AI without execution becomes another interface
Chat-based AI can summarize and suggest, but offensive security requires running tools, handling files, querying results, adapting workflows, enforcing approvals, and producing reproducible evidence. Without execution and control, AI stays disconnected from the work.
Point-in-time testing leaves gaps
Annual pentests, occasional red team projects, and ad hoc assessments cannot keep up with continuous shipping and changing external exposure. Findings may be accurate when delivered, but stale before remediation is complete.
Security tools produce output, but teams still need outcomes
Scanners, ASM products, DAST tools, and threat intelligence feeds generate findings, alerts, and data. Teams still need to combine them, validate what is real, remove duplicates, prioritize by context, and turn results into action.
How Trickest solves it
Move from objectives to executable workflows you can run, refine, and scale. Encode the methodology. Keep approval and evidence in the loop.
Turn offensive intent into executable workflows
Trickest helps teams move from an objective - test this surface, validate this exposure, run this methodology, prepare this report - into a repeatable process that can be executed, refined, and scaled over time.
Automate the work between tools
Trickest handles the operational layer behind offensive security: collecting targets, running tools, chaining steps, enriching results, validating findings, storing outputs, routing evidence, and preparing reports. Teams can automate the work that usually sits between scanners, scripts, spreadsheets, and manual review.
Scale custom methodologies across more targets
Teams can encode their own discovery, testing, validation, DAST, red team, and reporting methods as reusable workflows. Those workflows can then be adapted, scheduled, shared, and scaled across assets, applications, subsidiaries, customers, or environments.
Distributed
Use AI inside governed offensive workflows
AI helps plan checks, build or adapt workflows, interpret noisy outputs, summarize findings, ask for missing context, and turn repeated manual work into reusable processes. Human approval, scope control, and traceability stay part of the execution model.
Move from testing events to continuous offensive execution
Trickest makes offensive security repeatable. Teams can run checks continuously, compare results over time, validate changes, re-test after remediation, and build a system that improves with every workflow run.
What makes Trickest different
An execution platform shaped by how offensive teams actually test, with evidence attached to every result.
01
Offensive-security native, not generic automation
Trickest is built for technical security work: discovery, scanning, validation, enrichment, custom scripts, workflow execution, evidence, and reporting. It is not a generic SOAR platform or a chatbot attached to security tools.
02
Flexible enough for real methodologies
Trickest does not force teams into fixed scans or rigid templates. Teams can start from proven workflows, bring their own tools and logic, adapt existing methods, and build new workflows around how they actually test.
03
AI plus workflows, not AI instead of workflows
Trickest uses AI to accelerate work without hiding the process. Some steps need deterministic execution. Some need human review. Some benefit from AI reasoning. Trickest brings those modes together in one controlled workflow environment.
04
Evidence-first execution
Trickest helps teams produce evidence they can inspect, query, reproduce, and report. Findings are connected to the workflows, tools, inputs, outputs, and validation steps that produced them, making results more useful for remediation and escalation.
05
Built for teams that want to scale expertise
Trickest turns expert security knowledge into shared operational capability. Mature teams can standardize and scale their methods, while growing teams can start with proven workflows and evolve them over time.
06
Broad enough for modern offensive programs
Use Trickest for attack surface testing, vulnerability validation, DAST, red team automation, adversary emulation support, AI security testing, monitoring, enrichment, and reporting, without splitting the work across disconnected pipelines.
Go deeper into the platform
Offensive programs run on the same engine as workflows, agents, and developer tools.
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See Trickest in Action
A 30-minute walkthrough. We map the platform to your stack and answer pricing and deployment questions for your environment.