Enkrypt AI is the trust layer for agents, tools, RAG, and MCP—built to find risks before launch, enforce policy in production, and produce audit-ready evidence continuously.
Enkrypt is built around a unified policy engine that powers testing, enforcement, and evidence generation across your entire AI stack.
Red teaming and evaluation coverage
Guardrails for outputs and actions (including tools + MCP)
Compliance reporting and audit trails
Define policy once. Apply it everywhere—across models, prompts, tools, MCP, and workflows.
Real-world solutions for critical AI deployment challenges
Keep customer-facing agents safe, compliant, and on-brand. For chat and voice agents that interact with users and can trigger actions.
Block prompt-injection and jailbreak-driven unsafe behavior
Prevent sensitive data leakage (PII/PHI/PCI) in responses and tool calls
Enforce tone, policy, and escalation rules with a consistent audit trail
Outcomes:
Safer conversations • Fewer incidents • Faster approval from security & compliance
Secure the tool ecosystem—before and after it hits production. For teams adopting MCP servers and tool-based integration patterns.
Scan MCP: discover tools/servers, identify risky capabilities, surface exposures
Gateway MCP: enforce least privilege, validate tool responses, log every action
Detect and block indirect prompt injection and malicious tool outputs
Outcomes:
Controlled tool access • Reduced blast radius • Full traceability for audits
Govern agents that execute multi-step work across systems. For autonomous and semi-autonomous workflows that call tools, retrieve data, and make decisions.
Apply policy checks at every step (inputs, retrievals, actions, outputs)
Stop unsafe actions before execution (approval/modify/block)
Continuously test workflows with automated red teaming and produce evidence
Outcomes:
Reliable automation • Policy-by-default execution • Audit-ready by design
From a customer's point of view, Enkrypt covers the full lifecycle
Automated red teaming finds jailbreaks, data leakage, prompt injection, and tool/workflow abuse
Guardrails + action controls enforce least privilege and policy in real time
Evidence-ready compliance reporting supports audits, investigations, and regulators
Inline controls designed for production latency.
Agent systems can't tolerate slow security. Enkrypt is built for real-time decisions so teams can govern actions without breaking UX.
Designed for sub-100ms paths (implementation dependent)
Built for high-throughput tool calls and workflow execution
Optimized for MCP and action-heavy environments
Governance that works across languages.
AI risk isn't English-only. Enkrypt supports multilingual testing and enforcement so global organizations can apply the same standards everywhere.
Multilingual red teaming coverage
Policy enforcement across languages and locales
Consistent evidence generation for global audits
Start in hours—not quarters. Use Enkrypt SDKs and APIs to test, enforce, and prove policy across agents, tools, and MCP.
Inline evaluation and enforcement
Scanning + gateway for governed tool traffic
CI/CD and pre-release testing
To your security and compliance stack
Enterprise-grade authentication and authorization
Complete audit trails with flexible retention policies
End-to-end encryption for all data
SaaS, VPC, self-hosted
Available for review
Trusted by security teams and AI leaders deploying agentic AI in regulated environments.