AI TRiSM · Governance & Runtime Security Platform

Enterprise AI Security & Governance, in one platform.

Argorix helps organizations discover Shadow AI, control runtime risk, validate AI systems through red teaming, and generate audit-ready evidence for compliance.

Shadow AI Discovery Runtime Guardrails AI Red Teaming Audit Evidence SaaS & On-Prem
Argorix Control Plane
Live
ai_inventory142 systems shadow_ai_found37 unmanaged runtime_policyenforcing red_team11 active probes evidence_packaudit_ready
Evidence
Audit
scanning estate · repos · browsers · pipelines
shadow_ai: 37 detected
guardrails: prompt-injection blocked ×14
redteam: validating agent tool-calls
evidence pack exported → audit

AI is already inside your organization. The problem is visibility.

Teams are using copilots, chatbots, APIs, agents, prompts, and external AI tools before security, risk, and compliance teams can govern them.

A 2–4 week assessment to identify Shadow AI, prompt injection risks, data leakage exposure, runtime control gaps, and evidence readiness.

  • Initial AI inventory
  • Risk map
  • AI security testing
  • Prioritized findings
  • Mitigation recommendations
  • Executive report
  • Governance & runtime controls roadmap
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Your Governance AI operating layer

A real-time platform for security, compliance, and product teams to discover AI usage, control runtime risk, and keep evidence ready.

Coverage
360°

Continuous visibility across AI inventory, applications, models, prompts, policies, evidence, and runtime events.

Operations
24×7

Automated governance workflows that monitor, validate, and escalate AI risk signals without manual chasing.

Evidence
Audit

Reusable evidence, control mappings, and traceable remediation for compliance programs and internal reviews.

The real cost of an AI incident

The economic impact goes far beyond the technical incident: containment, fines, litigation, reputation, and long-term strategic damage.

Direct Costs

  • Incident response and containment
  • Forensics and technical investigation
  • Legal defense and regulatory fines
  • Customer and third-party remediation
~US$4.4M Average global cost per data breach — IBM Cost of a Data Breach Report 2025.

Indirect Costs

Reputational impact

  • Loss of customer trust
  • Media exposure and brand devaluation

Operational disruption

  • Service and operations interruption
  • Supplier replacement costs

Legal exposure

  • Class actions and contract disputes
  • Liability from autonomous AI decisions

Strategic Costs

  • Long-term value destruction
  • Loss of market confidence
  • Board and investor pressure
  • Increased regulatory scrutiny
  • Slower innovation and competitive disadvantage
Compounding impact
AI incidents can multiply direct breach costs through legal exposure, regulatory scrutiny, operational disruption, and reputational damage.
Partnerships & Community
ARGORIX Sentinel

Maps Shadow AI and unmanaged AI use across repositories, applications, browser activity, pipelines, and enterprise teams.

ARGORIX Observatory

Monitors AI data flows, prompts, outputs, and exposure paths where sensitive information can leak into external systems.

ARGORIX Control

Aligns AI usage with policies, risk decisions, compliance controls, ownership, remediation, and audit-ready evidence.

ARGORIX Guardrails

Enforces runtime policy decisions to prevent prompt injection, unsafe outputs, sensitive data leakage, and non-compliant AI behavior.

ARGORIX AI RedTeam

Runs adversarial validation for prompt injection, internal instruction leakage, data exposure, model manipulation, and compliance failures.

Evidence Operations

Reusable evidence objects connect findings, runtime events, policies, red-team results, remediation, and audit reports.

ModuleCoverageRisk
SentinelLow
ObservatoryWatch
ControlLow
GuardrailsWatch
AI RedTeamLow
EvidenceWatch

Control your AI, everywhere it runs

Sentinel

Discover Shadow AI and build the real operating inventory of AI systems, owners, prompts, models, datasets, and providers.

Observatory

Track AI data movement, prompt/output exposure, sensitive information paths, and risky usage patterns before they become incidents.

Control

Connect policies, frameworks, control owners, issue tracking, remediation, and executive reporting into one governance workflow.

Guardrails

Apply runtime controls for classic and agentic AI applications through policy checks, telemetry, approvals, and enforcement APIs.

All you need to operationalize inventory, policy, runtime controls, and evidence — in one platform.
Get Argorix

Deploy Argorix as a managed SaaS service or in a controlled environment when data residency, security policy, or infrastructure ownership requires it.

SaaS

Argorix can operate as a managed SaaS platform for organizations that need fast rollout, centralized updates, and multi-team coordination across AI governance workflows.

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On-Premise

For organizations with strict data handling, residency, or infrastructure constraints, the same operating model can be deployed in a more controlled environment.

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