The Platform

Eight modules. One governance operating layer.

Argorix turns AI security and governance into a continuous operating model: discover what AI you have, watch how it behaves, govern it against policy, enforce controls at runtime, and validate it with adversarial testing.

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01Discovery

ARGORIX Sentinel

Shadow AI discovery & AI inventory

Find the AI you don’t know about. Sentinel maps unmanaged AI use across repositories, applications, browser activity, pipelines, and teams — then builds the real operating inventory.

CI/CD discovery for GitHub Actions, GitLab CI, Bitbucket, and Azure DevOps
Inventory of AI systems, owners, models, prompts, datasets, and providers
Auto Discover, review queue, and triage from shadow repo to declared inventory

See use case

sentinel · discovery37 Shadow AI

Systems

142

Unmanaged

Owners

Repositories92%

SaaS & Browser74%

Pipelines81%

Agents / Tools63%

observatory · data-flowsWatch

monitoring prompt → model → output paths

pii_detected: 3 prompts redacted

egress: external_api blocked ×6

exposure score: 24 / low-medium

Flows

5.1k

PII paths

Redacted

418

02Monitoring

ARGORIX Observatory

Browser DLP for AI usage

See where sensitive information moves. Observatory is browser-level DLP for AI: a managed extension traces users, installations, and sensitive events — without sending full prompts by default.

Blocked, warned, redacted, and bypassed events per user and domain
Curated AI app catalog: approve or block tools before anyone uses them
Risky-usage pattern alerts routed to owners

See use case

03Governance

ARGORIX Control

Policy, compliance & evidence

Turn discovery into governance. Control aligns AI usage with policies, risk decisions, control frameworks, ownership, remediation, and audit-ready evidence.

Policy Builder: manual templates or AI drafts generated from your documents
Target posture vs runtime result, tracked per control with owners and due dates
Framework coverage for EU AI Act, ISO 42001, NIST AI RMF, and OWASP LLM Top 10

See use case

control · governanceAudit-ready

Policy coverage86%

Controls mapped78%

Evidence linked71%

Remediation SLA64%

Open issues

Evidence

Ready

Frameworks

guardrails · runtimeEnforcing

policy_check: tool_call → allow

prompt_injection: blocked ×14

unsafe_output: quarantined ×3

approval_required: high_risk_action

enforcement latency: 38ms

Blocked

1,204

Approvals

Latency

38ms

04Enforcement

ARGORIX Guardrails

Runtime controls for classic & agentic AI

Stop unsafe behavior as it happens. Guardrails enforces runtime policy decisions to prevent prompt injection, unsafe outputs, data leakage, and non-compliant AI actions.

Five surfaces: Classic, Agent Guardrails, Guardrails Log, LiteLLM gateway, AI Workbench
Prompt-injection, unsafe-output, and data-leak prevention
Python and Node SDKs, monitor/enforce modes, and per-agent step, tool, and action controls

See use case

05Validation

ARGORIX AI Red Team

Adversarial validation & offensive testing

Prove your controls actually work. AI Red Team runs adversarial validation for prompt injection, instruction leakage, data exposure, model manipulation, and compliance failures.

Attack libraries for prompt injection and instruction leakage
Red Team Live: watch attack sessions in an isolated per-tenant browser VM
CI gates (strict / balanced / observe) and findings that flow into remediation + evidence

See use case

redteam · validation11 probes

Prompt injectionPass

Instruction leak2 found

Data exposurePass

Model manipulation1 found

Probes

Findings

Validated

evidence-hub · integritySHA-256

evidence: 214 objects · files · urls · attestations

integrity: 198 verified · 0 tampered

review: 12 in review · 3 expiring

audit pack exported → ISO 42001

Objects

214

Verified

198

Packs

06Proof

ARGORIX Evidence Hub

Evidence objects, integrity & audit packs

Stop rebuilding proof for every audit. Evidence Hub stores files, URLs, notes, snapshots, reports, and attestations with review states, retention, and cryptographic integrity.

SHA-256 integrity verification: verified, tampered, or not found — at a glance
Audit packs (JSON/ZIP) with metadata, hashes, and timeline per control
Built-in control catalog: ISO 42001, NIST AI RMF, OWASP LLM & Agentic Top 10, SOC 2

See use case

07Endpoints

ARGORIX CodeGuard

Workstation agent for the vibe-coding era

Developers paste secrets into AI tools every day. CodeGuard enrolls workstations, distributes managed policy packs, and records every redaction and restore event at the endpoint.

Windows, macOS, and Linux agents with one-liner enrollment per tenant
Managed, optional, and preview policy packs with staged rollout (pilot → expansion)
Local proxy posture scoring plus a full redaction / restore / block audit trail

See use case

codeguard · endpoints435 agents

installations: 412 online · 23 stale

policy packs: managed ×3 · preview ×1

redactions 30d: 1,842 · restores 67

posture score: 92 / proxy + ca ok

Endpoints

435

Redactions

1.8k

Posture

intelligence · threat-intelDossiers

Trust index (median)71

Jurisdiction risk42%

Security posture26%

Median AIVSS (agents)6.3

Providers

Agents

128

Watchlist

08Threat Intel

ARGORIX Intelligence

Model & agent threat intelligence

Know who you are trusting before you integrate. Intelligence scores LLM providers by jurisdiction, transparency, and security posture — and third-party AI agents against OWASP AIVSS and the MAESTRO 7-layer threat model.

Provider dossiers: risk, trust, adoption, compliance, and jurisdiction indexes
Agent directory scored with AIVSS = (CVSS base + AARS) × mitigation factor
Watchlists and benchmarks that feed model choice and procurement decisions

See use case

One Continuous Loop

Discover → Monitor → Govern → Enforce → Validate → Prove

Each module feeds the next. Findings become policy, policy becomes runtime enforcement, enforcement becomes evidence, and red-team results loop back into remediation.

Built for security teams

Discovery, runtime enforcement, and offensive validation in one place — no more spreadsheets chasing Shadow AI.

Built for compliance

Reusable evidence, control mappings, and traceable remediation keep audits fast and defensible.

Built for product & AI teams

Ship classic and agentic AI applications with runtime guardrails that don’t slow delivery down.

The Workspace

Everything the modules produce, in one console

Modules do the work; the workspace runs the program: a board-ready dashboard, a living inventory with AI-BOM, one risk inbox, and reports your auditors can keep.

Dashboard

Operations, runtime telemetry, and an executive view built for steering committees and board packs.

Inventory & AI-BOM

Repositories, AI applications, models, metaprompts — plus a per-app AI-BOM, application graph, and attack-surface analyzer.

Issues — one risk inbox

Unified triage across code scans, pipelines, runtime guardrails, and red team — with one-click Jira tickets.

Reports

Executive, technical, or full-package PDFs with watermarks, dual branding, and a history of every snapshot.

Integrations

GitHub, GitLab, Bitbucket, Azure DevOps; Jira, Slack, Teams, Google Chat; Splunk HEC, Google SecOps; SSO with Entra ID or OIDC.

SDKs & APIs

Python and Node guardrail SDKs, agent decorators, a LiteLLM guardrail provider, and runtime APIs for install, evaluate, and events.

Operationalize inventory, policy, runtime controls, and evidence — in one platform.

Get Argorix