Four module groups. One Integrated Control Plane

Equanimo protects enterprise knowledge by understanding the full context behind every AI interaction not just prompts, policies, or keywords.

It evaluates user identity, personas, data sensitivity, business context, and organizational policies in real time to prevent unauthorized knowledge exposure. Built on a plug-and-play architecture, Equanimo integrates seamlessly with existing AI applications, APIs, and models without requiring application changes.

The Full Platform, At a Glance

Four module groups. One integrated platform.

— Command

Layer 4

Organizational Sovereignty

Real-time visibility and control across your AI estate.

CISO

CRO

CCO

Layer 3

— Evidence

Risk Artifacts

Quantified, auditable risk intelligence from every interaction.

CISO

VP InfoSec

General Counsel

Layer 2

— Policy

Governance

Define rules, enforce them, prove they were followed.

CCO

General Counsel

IT Risk

CISO

Layer 1

— Foundation

Data Collection

The layer every other module depends on.

Security Eng

DevOps

Organizational Sovereignty

One view answers the question every CISO starts their day with: are we safe right now? Real-time visibility and instant action across your entire AI estate.

Dashboard

Compliance scores, risk flags, AI adoption and model activity — consolidated across every team into a single real-time view.

Composite compliance score across GDPR, HIPAA, SOC 2, ISO 42001 and EU AI Act — with 7d / 30d / 90d trend
AI adoption heatmap: approved vs shadow AI by team, live from Gateway traffic
Top policy violations ranked by 24h trigger count with team attribution
Cost & usage: prompts inspected, tokens processed, estimated AI spend

Control Tower

Every AI interaction as it happens — with the power to act immediately: suspend access, invoke a policy, or escalate an incident.

Live prompt stream: every request transiting the Gateway in real time
Inline policy execution — block, warn, quarantine or redirect without leaving the feed
One-click user or team suspension, effective immediately at the Gateway layer
Incident escalation with reviewer assignment, SLA tracking, and full audit trail

FinOps & Cost Attribution

Turn AI spend into a governed investment with clear attribution, budget visibility, measurable ROI, and opportunities to reduce unnecessary cost.

Spend Attribution

Track AI costs across business units, projects, models, and vendors so every dollar can be attributed to the right owner and use case.

Budget Controls

Compare actual spend against budgets, monitor consumption in real time, and identify potential overruns before they become costly.

ROI by Use Case

Measure the return generated by individual AI initiatives and identify which use cases are producing the strongest business impact.

Vendor Optimization

Identify duplicated services, idle usage, unnecessary model consumption, and inefficient vendor allocation.

Risk Artifacts

Quantified, auditable risk intelligence built from every AI interaction — detecting exposures in content, not just metadata.

Prompt Audit

Complete, searchable record of every AI interaction — content-level detection of sensitive data, not just metadata.

Full prompt log with PII, PHI, financial and source-code detection before storage
Policy violation log with matched rule, triggering fragment and outcome
Searchable by user, team, model, entity type and date
Role-gated raw prompt access — with access itself written to the audit trail

Risk Scoring

Continuous, evidence-based risk scores for every model, team and use case a live signal that drives remediation.

Knowledge Shield

Real-time detection and blocking of proprietary information — source code, pricing models, client data — in prompts and responses.

The Governance Layer

Define the rules that govern AI use, enforce them automatically, and generate the evidence that proves they were followed — continuously, not just at audit time.

Policy Center

Author, version and publish AI governance rules as machine-readable controls — active at the Gateway the moment they’re approved.

Structured authoring with full version control, approval workflows and immutable change history
Scope targeting at org, BU, team or model level with inheritance rules
Simulate a policy against historical prompt data before it goes live
Controls linked to the regulatory articles they satisfy

AI Guardrails

Real-time enforcement on every prompt and response — blocking, redacting or flagging before data moves.

Pre-built library covering PII, source-code leakage, financial data, credentials and prohibited use
Custom rule builder with pattern matching and ML classifiers
Bidirectional enforcement on both inbound prompts and outbound responses
Per-rule action: hard block, silent redaction, warn-and-allow or log-only

Compliance Adherence

Continuous, automated measurement against six regulatory frameworks — with one-click evidence packages ready for auditors.

Vendor Compliance

Governance of every external AI vendor — scored against your framework, with automatic alerts when their terms change.

When AI Calls AI, Governance Follows

Most tools lose visibility after the first AI handoff. Equanimo maintains knowledge-level policy enforcement across every model, service, and vendor in the interaction chain.

Your App → Approved LLM

Control what knowledge your application can send to approved AI models before sensitive context leaves your environment.

Approved LLM → External Service

When your AI calls another model or service, Equanimo keeps knowledge-level controls active across the interaction.

External Service → Vendor / API

Maintain visibility, policy enforcement, and evidence as interactions move through downstream models, vendors, and APIs.

Data Collection

Gateway intercepts and governs AI traffic at the network. Connectors extend that visibility to tools outside the network boundary. The layer everything else depends on.

AI Gateway

A policy-enforced proxy between your organisation and every AI provider — every API call classified, governed, logged, and routed in real time.

Unified proxy for OpenAI, Anthropic, Azure OpenAI, Gemini, Bedrock and internal models — no SDK changes required
Authentication via your existing IdP over OIDC / SAML
Real-time governance pipeline: classification, PII detection and guardrail evaluation at every request
Rate limits, spend quotas, model routing, failover and data-residency region lock

Connectors

Extends Equanimo’s visibility to AI tools that can’t be proxied Microsoft Copilot, GitHub Copilot, Salesforce Einstein.

How Equanimo fits in.

Equanimo protects enterprise knowledge by understanding the full context behind every AI interaction—not just prompts, policies, or keywords. Built on a plug-and-play architecture, it integrates with existing AI applications, APIs, and models without requiring application changes.

How Equanimo Compares

See how Equanimo extends beyond traditional security and AI governance tools with knowledge-level detection, M2M visibility, flexible capture, and native cost attribution.

Feature	AI Security Platforms	DLP / SASE	Equanimo
String-Matching Detection	Supported	Supported	Supported
Semantic Knowledge Fingerprinting	—	—	Full
M2M Interaction Tracking	Partial	—	Every Hop
Network-Level Capture (I3)	—	Supported	Zero-Code I3
Native FinOps / Cost Attribution	Partial	—	Native

See every module in a working environment.

A 45-minute demo against your own risk profile — focused on the modules most relevant to your compliance posture.