ADRI Security - 2026 Pricing, Features, Reviews & Alternatives

ADRI Security is an on-device AI data loss prevention (DLP) platform that inspects and redacts sensitive data from prompts and file uploads across AI chat tools, coding agents, and MCP servers in real time, before data reaches any external AI provider. Designed for security, compliance, and engineering teams at regulated enterprises, ADRI Security covers sanctioned and shadow AI tools, local LLMs, and agentic frameworks. The platform deploys as an endpoint agent on Windows, macOS, Linux, iOS, and Android via MDM (Microsoft Intune, Jamf, Kandji), SCCM, or direct download, and supports cloud-hosted, self-hosted, hybrid, and fully air-gapped configurations. Deployment completes in under an hour with no reboots required.

ADRI Security operates through four detection layers: entity recognition models for PII, credentials, financial data, and health data; a context engine that identifies the requesting user, tool, and agent; data fingerprinting matched against organization-specific data classes; and a policy layer that enforces redact, warn, or block actions. All inference runs locally on the endpoint with sub-100ms latency and no cloud call required, making cloud escalation strictly opt-in. The AI Gateway intercepts every prompt and file upload in real time, while the Shadow AI Discovery module identifies every AI tool, coding agent, and MCP server on every endpoint, including unapproved ones that network-only tools cannot detect. The MCP Governance module registers MCP servers and enforces allow/deny policy per server and per tool call.

ADRI Security provides a centralized dashboard with real-time alerts, per-user rules, and a full forensic audit trail. Compliance exports are mapped to GDPR/CCPA, EU AI Act, ISO 27001, SOC 2, and Israeli Privacy Law, supporting audit-readiness across major regulatory frameworks. The platform integrates with SIEM, SSO/SAML, SCIM, EDR, and webhooks, and gives security, compliance, and engineering teams a shared, evidence-based view of AI activity across the fleet. Target industries include Financial Services, Healthcare and Life Sciences, Legal, Technology and SaaS, Government and Public Sector, and regulated enterprise environments.