01
Manual bottleneck
Expert time is consumed by repetitive recon, endpoint review, and report assembly before judgment begins.
Triadix AI Pentest
AI pentesting, controlled from scope to report
Triadix turns AI-assisted security testing into a managed run: verified scope, isolated execution, visible subagents, evidence-backed findings, and downloadable reports.
Verified scopeIsolated runnerVisible subagentsEvidence-backed findingsEN/RU reports
Why it matters
Security testing needs more coverage without unsafe autonomy
Teams want AI speed, but assessment work still needs authorization, evidence, review, and a clear delivery path.
02
Tool sprawl
Scanners, browser traces, notes, proof points, and status updates are often disconnected.
03
Unsafe autonomy
Unbounded agents can cross scope, hide decisions, or create traffic nobody approved.
Product promise
A managed run, not an opaque bot
Triadix keeps scope, orchestration, review, evidence, and reporting inside one product workflow.
Scope is verified before launch
The run starts from an explicit, authorized target context.
Operators can inspect progress
Named subagents, approvals, events, and artifacts remain visible while work is running.
Evidence becomes customer output
Signals are reviewed before they become findings and downloadable reports.
Workflow
From scope to report in one operating loop
The user sees a controlled assessment lifecycle instead of an autonomous process hidden behind prompts.
Prepare scope
Define the authorized targets, task description, profile, and risk level.
Launch run
Start the assessment with an immutable launch context and clear status.
Coordinate subagents
A master agent delegates narrow branches and keeps progress accountable.
Review evidence
Signals, proof points, and summaries are inspected before delivery.
Deliver report
Findings, impact, remediation, and artifacts are packaged for the customer.
Architecture
Control stays in the platform. Testing runs in isolation.
Triadix separates the product control plane from target-facing execution so governance does not depend on a prompt alone.
Triadix Platform
Runs, permissions, events, findings, artifacts, and reports stay in the product control plane.
Isolated Runner
Target-facing work executes in a separate runner environment with policy and resource boundaries.
Authorized Scope
Workers operate against explicit scope and report progress back into the platform.
Evidence and Reports
Proof points and summaries are normalized into findings and downloadable materials.
Triadix Platform
Runs, permissions, events, findings, artifacts, and reports stay in the product control plane.
Isolated Runner
Target-facing work executes in a separate runner environment with policy and resource boundaries.
Authorized Scope
Workers operate against explicit scope and report progress back into the platform.
Multi-agent execution
Subagents are visible and accountable
Parallel work is broken into named branches, each with progress, summaries, and artifacts the operator can inspect.
01
Named work branches
Each subagent has a focused task instead of an invisible background thread.
02
Progress per branch
The UI shows running, completed, blocked, and approval-aware work states.
03
Inspectable checkpoints
Operators can review summaries, milestones, and evidence linkage before handoff.
Named work branches
Each subagent has a focused task instead of an invisible background thread.
Progress per branch
The UI shows running, completed, blocked, and approval-aware work states.
Inspectable checkpoints
Operators can review summaries, milestones, and evidence linkage before handoff.
Outcome
Findings come with evidence, impact, and remediation
Triadix presents issues as reviewed findings, not as raw logs or scattered tool output.
Severity and affected target
Each issue is framed around the system component and risk level.
Evidence summary
Findings keep proof points close enough for review and customer discussion.
Remediation guidance
The report explains practical next steps, not only what the agent observed.
Reporting
From live evidence to a customer-ready report
The customer sees conclusions, severity, evidence, impact, and remediation instead of implementation details.
01
Capture
Observations, screenshots, tool output, and reviewer notes are collected during the assessment.
02
Triage
Signals are grouped, deduplicated, assigned confidence, and filtered before becoming findings.
03
Deliver
Executive summary, technical findings, remediation guidance, and downloadable artifacts are produced.
Governance
Safety is a product feature
The runtime combines scope policy, approvals, runner isolation, and auditability.
Verified launch context
The run starts from a fixed scope and operator-selected profile.
Approval checkpoints
Sensitive or high-risk actions can pause for explicit human approval.
Isolation and egress policy
Worker execution is separated from platform internals and limited to authorized routes.
Traceable events
Run events, approvals, artifact updates, and agent states remain available for audit.
Adoption
Start narrow, then scale coverage
The first deployment can focus on a narrow verified scope, then expand as approval policy and runner capacity mature.
Pilot
Start with one authorized scope, one runner, and one reporting workflow.
Policy
Define approval rules, target rules, risk levels, and report expectations.
Scale
Add runner capacity and broaden recurring assessment coverage.
Review
Use findings, reports, and event history to improve the next run.
Operate
Turn AI pentesting into a repeatable delivery motion.
Contact
Bring AI agents into accountable pentest delivery
Use Telegram for the fastest demo conversation, or call the product contact number.