From the scattered signal to auditable evidence.
TriageShield is the defensive-triage platform that turns scattered signals — logs, vulnerable dependencies, technical evidence and events — into traceable, explainable, auditable findings. Not an “AI dashboard”: a governance, triage and evidence layer where the human always approves and the AI explains, it doesn’t decide.
Too many alerts, not enough proof.
The flood of alerts arrives without enough context to separate noise from real risk. There's no traceability between evidence, decision and action taken, and ungoverned AI decides without justification or human control. When the audit asks what was detected, approved, revoked or exported, proving it becomes a nightmare — even more so in multi-tenant operation.
From the scattered signal to the evidence that decides.
Collection — the Analysis Plane gathers the signals
The Analysis Plane collects signals, logs, dependencies and evidence from the client's environment and correlates everything with vulnerability bases and technical context — the system does the heavy work of assembling the evidence.
Synthesis — the AI explains, it doesn't decide
The LLM helps explain, correlate and synthesize; it does not decide alone, does not auto-merge, does not auto-deploy and applies no changes to the client’s environment. Each finding arrives with severity, evidence origin and a proposed action.
Approval — the human analyst decides
The analyst reviews, approves, rejects or marks a false positive. Everything is recorded in audit and, when applicable, exported as a bundle or auditable report — ready to revalidate after the fix.
What makes TriageShield different.
Human always approves, governed AI
The AI explains and prioritizes, but approval stays in human hands. No auto-merge, no auto-deploy, no change applied to the client's environment without review.
Native end-to-end auditability
A SHA-256 audit-hash chain links detection, approval, revocation and export into an intact trail. Proving to the audit what happened stops being archaeology and becomes a query.
Multi-tenant & isolation from the base
Execution isolation, signed entitlements, provider catalog and control plane: operating many clients, plans, providers and policies is governed by construction, not patched later.
Shared Triage grammar
The same evidence backing, the same control-plane and the same Signal→Evidence signature as the rest of the family — the forensic atmosphere changes, not the evidence that decides.
Collected signal → approved evidence.
Each finding runs an auditable trail: the system collects and correlates, the AI explains, and the human analyst decides. Severity is triage semantics, not a decorative traffic light.
| # | Step | Who decides |
|---|---|---|
| 1 | Analysis Plane collects signals, logs, dependencies and evidence | system |
| 2 | Correlates with vulnerability bases and context | system |
| 3 | The LLM explains, correlates and synthesizes — doesn't decide alone | [P] assistive AI |
| 4 | Finding appears with severity, evidence and proposed action | system |
| 5 | Human analyst reviews, approves, rejects or flags false positive | [A] human approves |
| 6 | Everything recorded in audit; exportable bundle when applicable | audit-hash |
Who decides with TriageShield.
- ◆AppSec and SOC / Blue Team teams who live triage day to day
- ◆CISOs and regulated companies that need auditable trails for compliance
- ◆MSSPs, security consultancies and multi-tenant SaaS operating many clients
- ◆Organizations using LLMs in security flows but requiring control and audit
Security talks to the whole cycle.
the grammar (backing, control-plane, Signal→Evidence) stays; only the atmosphere changes
TriageShield
You are here. Rigor, sobriety, compliance-grade: evidence proves itself.
TriageBug
When the risk already became an incident, triage becomes the hunt.
Go to Bug →Bring TriageShield into your cycle.
No public pricing and no self-service: choose the level of conversation that makes sense for your team.