Secure Every AI Agent Before It Acts
SafeLayer gives enterprises a policy-driven safety layer for AI agents, copilots, chatbots, and LLM-powered workflows — monitoring every prompt, response, tool call, and action before risk becomes exposure.
Built for enterprise AI teams that need security, compliance, observability, and auditability from day one.
AI agents are becoming part of your attack surface.
AI agents retrieve documents, call tools, access systems, summarize records, trigger workflows, and interact with customers and employees. That creates risks traditional application security was not designed to see.
Prompt Injection
Manipulate agents into ignoring instructions, leaking data, or taking unauthorized actions.
Sensitive Data Exposure
Customer, employee, financial, health, and internal business data can be sent to models or exposed in responses.
Unsafe Tool Use
Agents can call APIs, query systems, and initiate workflows without enough policy enforcement.
Audit Blind Spots
Security and compliance teams need to know who asked, what changed, what was blocked, and why.
SafeLayer is the guardian layer for enterprise AI.
SafeLayer sits between your users, applications, agents, tools, data sources, and model providers. It observes, validates, redacts, blocks, logs, and governs AI activity in real time.
See SafeLayer in ActionOne platform for agent monitoring, security, and audit.
Guardian Agent
An always-on oversight agent that evaluates prompts, responses, tool calls, and agent behavior against enterprise policy.
Agentic Auditing
Capture a complete audit trail across users, prompts, retrieved context, tool calls, policy decisions, and final responses.
Prompt Injection Defense
Detect jailbreaks, instruction override attacks, hidden prompt injection, role manipulation, and prompt hijacking attempts.
Sensitive Data Protection
Identify and redact PII, PHI, PCI, confidential business data, customer identifiers, internal codes, and financial details.
Tool-Call Governance
Monitor and control how agents use APIs, databases, documents, workflows, enterprise systems, and external tools.
Runtime Policy Enforcement
Allow, redact, block, transform, escalate, or log AI interactions based on risk, user role, workflow, tenant, or data type.
See every interaction. Secure every action.
Deploy SafeLayer between your AI and your risk.
Connect
Integrate into your application, chatbot, copilot, agent framework, or workflow.
Observe
Capture prompts, responses, tool calls, retrieved context, metadata, and user information.
Evaluate
Apply enterprise policies, Guardian Agent review, sensitive-data detection, and attack classification.
Control
Allow, redact, block, transform, escalate, or log interactions based on risk.
Audit
Maintain a searchable record for compliance, governance, and incident review.
Built to fit your AI stack.
SafeLayer is designed as a middleware and monitoring layer for enterprise AI systems.
POST /v1/srv/prompt/validate
Content-Type: application/json
{
"userId": "u_123",
"agentId": "support-agent",
"scope": "input",
"prompt": "Can you look up this customer account..."
}
→
{
"decision": "redact_and_allow",
"riskScore": 0.67,
"detections": ["PII", "account_identifier"],
"auditId": "audit_9x42",
"safePrompt": "Can you look up this customer account [REDACTED]..."
}
Designed for enterprise AI workflows.
Customer Support AI
Prevent customer data leakage, unauthorized account access, and unsafe responses.
Healthcare & Life Sciences
Protect PHI, enforce access controls, and maintain audit trails for AI-assisted workflows.
Financial Services
Redact financial data, monitor sensitive workflows, and preserve governance evidence.
HR & Employee Service Agents
Prevent exposure of compensation, employee records, benefits data, and confidential information.
Enterprise SaaS Agents
Secure user-facing AI features, tenant-specific policies, and role-based agent behavior.
Internal Knowledge Assistants
Govern RAG systems that retrieve documents, policies, contracts, tickets, and enterprise knowledge.
What SafeLayer helps prevent.
Move from AI experiments to production AI systems with monitoring, policy enforcement, redaction, and audit-ready governance.
Bring enterprise control to agentic AI.
SafeLayer helps Icuro customers deploy AI agents that are monitored, governed, and secure by design.
Get more information about SafeLayer.
Tell us about your AI use case and we’ll follow up with details and a demo.
Questions teams ask before deploying SafeLayer.
What is SafeLayer?
An enterprise AI security and governance layer for chatbots, copilots, agents, and LLM-powered workflows.
What is the Guardian Agent?
SafeLayer’s oversight component for detecting unsafe prompts, sensitive data exposure, risky tool use, and policy violations.
Does it work with existing AI apps?
Yes. SafeLayer sits between your AI application, agents, tools, data sources, and LLM providers.
What can SafeLayer audit?
Prompts, responses, tool calls, retrieved context, policy outcomes, validation results, user context, token usage, and final actions.