UCL Security & Compliance

This overview highlights UCL’s enterprise-grade security, compliance, and governance capabilities.

Unified Context Layer (UCL) is built with enterprise security, compliance readiness, and operational resilience at its core. The platform provides isolation, observability, and governance across multi-tenant environments while ensuring that every agent, connector, and data transaction is protected.

1. Access Control & Permissions

Role-Based Access Control (RBAC)

• Granular roles and permissions ensure that every user, tenant, and connector only has access to what they need.

• Supports fine-grained access at connector, dataset, and action levels, enabling organizations to enforce least-privilege policies across large teams.

• Allows for the separation of duties between developers, administrators, and end-users.

Scoped Tokens

• AI agents operate using short-lived, scoped tokens that restrict access by role, time, or data type.

• Tokens automatically expire, reducing the risk of credential leakage.

• Designed to support enterprise rotation policies and integration with SSO / identity providers like Okta, Azure AD, and Ping.

Context-Aware Controls

• Access rules adapt dynamically based on role, time-of-day, geolocation, or tenant policy.

• Example: restricting sensitive data actions (e.g., exports) outside of working hours.

Isolation by Design

• Each tenant’s connectors, flows, and agents run in fully isolated execution sandboxes, preventing cross-tenant data leakage.

• Supports both logical isolation (per-tenant namespaces) and infrastructure isolation (dedicated environments).

2. Real-Time Monitoring & Logging

Comprehensive Audit Trails

• Every agent request, connector call, variable update, and data transfer is logged.

• Full traceability ensures end-to-end accountability for compliance and forensics.

Real-Time Dashboards

• Security and operations teams can monitor live agent sessions, execution health, error rates, and data movement across tenants.

• Dashboards highlight anomalies, failed authentications, and API throttling in real time.

Immutable Logs

• All logs are stored with cryptographic integrity (hash chaining) to prevent tampering.

• Supports WORM (write once, read many) storage for regulatory environments.

Event Attribution

• Each log entry is tied back to a tenant, user, connector, and AI agent identity.

• Enables granular forensics in case of a breach or compliance audit.

3. Compliance-Ready Architecture

GDPR & SOC 2 Alignment

• UCL is designed with data minimization, right-to-erasure, and security controls aligned to GDPR principles.

• SOC 2 readiness ensures enterprise-grade operational, security, and availability controls.

HIPAA-Ready

• Supports healthcare-grade encryption, auditability, and access control for HIPAA-covered integrations.

• PHI data is always processed in compliance with least-privilege principles.

Data Residency Controls

• Execution environments can be pinned to specific regions (EU, US, APAC).

• Ensures data sovereignty for organizations operating under local data residency laws.

Retention Policies

• Configurable data retention lifecycles for logs, agent memory, and connector transactions.

• Supports audit requirements with customizable retention periods (in days, months, or years).

4. Threat Detection & Prevention

Anomaly Detection

• Machine learning models identify unusual usage patterns, such as unexpected data requests or excessive traffic.

• Alerts are automatically surfaced in security dashboards.

Prompt Injection Protection

• Built-in defenses detect malicious prompt injection attempts, blocking agents from escalating privileges or exfiltrating data.

• Policy-driven filtering ensures AI remains bound within compliance rules.

Data Exfiltration Prevention

• Monitors outbound data flows for bulk export attempts or unauthorized destinations.

• Can enforce hard throttles and notify admins in real time.

Privilege Escalation Detection

• Detects when an AI agent or user attempts to bypass assigned RBAC policies.

• Automatic alerts and session termination safeguard tenant boundaries.

5. Enterprise-Grade Deployment

Zero-Trust Principles

• All connections require continuous identity and authorization validation.

• No implicit trust, every request must be authenticated and authorized at runtime.

Encryption Everywhere

• TLS 1.2+ enforced for data in transit.

• AES-256 is used for data at rest.

• Support for HSM-backed encryption keys and customer-managed keys (CMK).

Flexible Deployment

• Available as cloud SaaS, private cloud, on-premises, or hybrid.

• Meets regulated or air-gapped enterprise needs (e.g., finance, government).

SIEM Integration

• Audit logs can be streamed directly into Splunk, Datadog, Elastic, or custom SIEM platforms.

• Enables centralization of alerts in enterprise SOC workflows.

6. Business Continuity & Governance

High Availability

• Redundant architecture ensures failover and clustering across zones.

• No single point of failure for critical agent and connector operations.

Disaster Recovery

• Automated backups and restore processes for connectors, policies, and audit logs.

• RTO/RPO targets are configurable for enterprise SLAs.

Policy Versioning

• Every security or compliance policy is version-controlled and auditable.

• Allows rollbacks during misconfiguration or during audits.

Governance Dashboards

• C-suite, compliance, and IT leaders gain real-time visibility into agent behavior, policy enforcement, and data compliance status.

• Customizable dashboards for CISO, compliance officer, and operations teams.

Why AI Builders, Teams, and Enterprises choose UCL?

• Purpose-Built: Designed for AI agents and MCP connections, not retrofitted legacy systems.

• Multi-Tenant Isolation: Guarantees no cross-tenant leakage.

• Compliance-Focused Foundation: Reduces audit prep and regulatory risks.

• End-to-End Observability: Every action is traceable, explainable, and governable.