Argorix evaluates intent, context, identity, and policy before a model or agent can act.
AI governance that moves with your stack
Govern any AI
Models, agents, and providers change. Your controls, runtime policy, and evidence stay connected.
Runtime protection for every interaction
Secure any AI
Inspect prompts, model responses, agent tools, and data flows before risk becomes action.
It plugs into the stack you already run
Any model framework copilot gateway vector store platform cloud SCM IdP SIEM endpoint workflow
No rebuild, no migration, no second control plane. Argorix reads the models, agents, gateways, and repositories you already have.
Prompts, responses, tool calls, and data movement become one traceable security timeline.
Each allow, block, escalation, and remediation becomes reusable audit evidence.
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
Search AI systems, policies, evidence…
BANCO AURORA · DEMO
DEMO WORKSPACE · BANCO AURORA
LIVE
AI security control plane
AI Applications
40
Repositories
85
Runtime Requests
9,759,004
Blocked
196,529
Banco Aurora postureDemo fixtures
Runtime online37 / 40
Guardrails enabled38 / 40
Applications assessed39 / 40
Evidence integrity13 / 18
Compliance score77%
The Problem
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.
Argorix AI Security Assessment
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
Why Argorix
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.
AI Incident Economics
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.
Trusted in real operations
Organizations that trust Argorix
Technology, financial services, and regional operations teams work with us to make AI security and governance operational.
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 Red Team
Runs adversarial validation for prompt injection, internal instruction leakage, data exposure, model manipulation, and compliance failures.
ARGORIX Evidence Hub
Reusable evidence objects connect findings, runtime events, policies, red-team results, remediation, and audit reports.
ARGORIX CodeGuard
Enrolls developer workstations, distributes managed policy packs, and records every redaction and restore event at the endpoint.
ARGORIX Intelligence
Threat intelligence for the model supply chain: provider dossiers plus AI-agent scoring with AIVSS and MAESTRO.
Argorix Control Plane
ai_applications40 registered
runtime_online37 / 40
guardrails_enabled38 / 40
red_team_runs34 scenarios
evidence_integrity13 / 18 verified
Uptime
99.98%
Controls mapped
152
Latency p95
42 ms
scanning estate · repos · browsers · pipelines
runtime: 9,759,004 requests observed
guardrails: 196,529 decisions blocked
redteam: validating agent tool-calls
evidence pack exported → audit
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
Installation Options
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.
Get Argorix
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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AI security and governance research for humans
Practical articles on Shadow AI, runtime controls, evidence, red-team validation, and how Argorix turns those problems into operating workflows.
Runtime · Incident
An autonomous agent ran the whole intrusion
Hugging Face disclosed a production breach driven end to end by an autonomous AI agent — over 17,000 recorded actions. What changes when the attacker never fatigues.
Red Team · Incident
JadePuffer: the first LLM-driven ransomware, and what it broke
Sysdig documented an attack run end to end by a model. The chain is ordinary — the tempo, the adaptivity, and the unrecoverable keys are not.
Red Team · Incident
A $150,000 prompt injection, written in Morse code
An encoded reply on X moved six figures out of an AI-linked wallet. The failure was not the filter — it was that the agent could act at all.