AI Governance & Execution Security Platform

A trusted path through the AI jungle

ConfidentialPath is the control plane that ensures every AI action is evaluated, controlled, and logged before execution — checking, blocking, and requiring approval at runtime, before, during, and after AI actions take place.

Governance defines policy expectations. Runtime enforcement applies them where AI actions execute.

Core capabilities The problem we solve

Runtime policy enforcement EU AI Act & EU CRA aligned Human oversight built-in Evidence packaging built-in

Why teams choose ConfidentialPath

A governance-first control plane that combines governance and runtime enforcement in one operating model. Unified governance across providers, approvals, and audit evidence — not just policy documentation.

Governance baseline

AI system inventory boundaries, risk classification, policy management, and structured audit evidence workflows that support compliance and continuous governance.

Runtime differentiation

Preventive controls before AI execution, inline inspection and redaction options, and multi-provider governance from one control layer that ensures consistent control across all use cases.

Outcomes by role

Security: stop unsafe actions before they happen. Compliance: produce audit-ready evidence. Platform: enforce policies across teams and providers.

Where it matters most

ConfidentialPath is designed for organisations where AI systems take real-world actions and require enforceable runtime controls, human oversight, and audit-ready governance evidence.

Governance before execution

Gateways optimize requests and costs. ConfidentialPath governs what is allowed before execution.

Control, not just visibility

Observability tools show what happened. ConfidentialPath controls what is allowed to happen.

Preventive policy decisions

Security tools detect threats and anomalies. ConfidentialPath prevents risky actions through enforceable policy decisions.

Enforced governance, not just documentation

GRC platforms define policies. ConfidentialPath applies them at runtime and produces audit-ready evidence.

The problem we solve

AI systems are already taking real-world actions — without enforceable runtime controls. Most organisations cannot clearly say what their AI is allowed to do, who approved it, or why.

No runtime controls

AI agents take actions with real-world consequences — send emails, access databases, execute transactions, and call external APIs. Existing platforms provide little or no control over what AI is actually allowed to do at runtime.

Regulatory obligations

EU AI Act, EU CRA, NIS2 and GDPR are creating obligations for demonstrable human oversight and risk controls over AI systems. Audit logs capture what happened — but they do not prevent it.

No governance layer

Model gateways, API proxies, and observability tools solve routing, cost, and logging. They do not solve governance and runtime control. This is the gap ConfidentialPath addresses.

Core capabilities

ConfidentialPath checks every AI action against your policies before execution — enforcing decisions transparently at every step. Decide what your AI is allowed to do — before it does it, and every decision is packaged as evidence.

Runtime policy enforcement

Every AI action is evaluated before execution.

When an AI agent attempts to perform an action, the platform makes a governance decision based on policies defined by your organisation.

Decision	Meaning
ALLOW	Action proceeds as normal
BLOCK	Action is prevented and the event is logged
REQUIRE APPROVAL	Action is held pending human approval
ISOLATED EXECUTION	Action executes in an isolated, controlled environment

Execution inspection

No hidden behaviour — every decision is transparent and explainable.

Every AI request passes through an inspection layer that evaluates request content against policies before execution and validates responses after execution. The inspection layer is transparent — no hidden content modification, no silent filtering. Every decision is logged and explainable.

Agent risk classification

Risk level determines which controls and approvals apply — automatically.

AI agents and their operations are classified by risk level, determining which approval workflows apply, what execution constraints are active, and which human oversight mechanisms are triggered. Risk levels align with regulatory frameworks, including the EU AI Act.

Human approval workflows

High-risk actions require explicit human approval before execution.

Sensitive AI operations can require human approval before execution. Approval workflows are triggered by policy, routed to the appropriate approver, fully logged as governance events, and integrated into the audit trail.

Audit & forensic reconstruction

Every AI operation produces a complete, structured governance record ready for audits, reviews, and investigations.

Every AI operation produces a complete governance record: request-scoped context, policy evaluation decisions, enforcement outcomes, agent risk classification, and human approval records. Records are structured for compliance audits, internal governance reviews, and incident investigations, and can be packaged as evidence bundles when needed.

European regulatory alignment

ConfidentialPath is designed with European regulatory requirements as a first-class concern.

EU AI Act (2024/1689)

Enforcement from August 2026. Specific obligations for high-risk AI systems including traceability, human oversight, and risk classification — all covered by ConfidentialPath capabilities.

EU Cyber Resilience Act (2024/2847)

Key reporting from September 2026, full compliance by December 2027. Mandatory cybersecurity obligations including security by design, vulnerability reporting, and access control.

GDPR & NIS2

Role-based access control, data routing policies, full audit trails and incident response workflows support GDPR data protection and NIS2 cybersecurity obligations. The service does not include persistent conversation history storage.

Evidence packaging

Governance records are structured for audits, governance review, and investigations. Compliance control mappings and evidence export enable demonstrable conformity across audits, regulatory review, and internal assurance programs.

Built for regulated organisations

ConfidentialPath is designed for organisations that deploy AI and need demonstrable governance.

Financial services

AI governance controls for trading, lending, fraud detection and customer-facing AI systems operating under strict regulatory oversight.

Healthcare & life sciences

Human oversight and audit trails for AI-assisted diagnostics, patient data access and clinical decision support systems.

Public sector

Demonstrable human oversight and transparency for AI systems making or supporting consequential decisions in public administration.

Legal & insurance

Risk classification and approval workflows for AI systems operating in high-stakes, regulated professional environments.

Energy & utilities

Governance controls and audit trails for AI systems managing critical infrastructure, demand forecasting, grid operations, and safety-critical functions in regulated energy environments.

Education & research

Human oversight and access controls for AI-assisted learning, automated student assessment, research data processing, and academic integrity systems handling sensitive personal data.

Manufacturing & industry

Policy enforcement and approval workflows for AI-driven process automation, predictive maintenance, and safety-critical quality assurance in regulated industrial environments.

Retail & consumer services

Risk classification and governance controls for AI systems driving automated decisions on credit, pricing, personalisation, and consumer-facing services under consumer protection regulations.

What ConfidentialPath is not

Clear positioning helps you understand exactly what you are buying — and what you are not.

Not an AI model provider

ConfidentialPath does not train, host, or provide AI models. It governs access to and execution on AI systems your organisation operates or subscribes to.

Not an API gateway or LLM proxy

While ConfidentialPath includes request routing capabilities, it is not positioned as a model router or API proxy. Routing serves governance — governance is not a feature of routing.

Not an observability platform

Logging and observability are outputs of governance, not the primary product. ConfidentialPath enforces before it records.

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