AI agents execute tasks across endpoints, SaaS, and cloud—using identities, calling APIs, moving data. Most organizations can't see them. Fewer can control them. Almost none can stop unsafe actions at runtime.
Employees deploy agents outside security controls.
Creator-level privileges. Excessive and never revoked.
Digital certificates enabling encryption, authentication, and secure connections.
Once an agent acts, most tools cannot intervene or stop it.
Local agents, developer tools, and Shadow AI on user devices.
Business-created agents embedded in SaaS platforms.
Homegrown agents across APIs, infrastructure, and services.
External tools and services invoked by agents.
Databases, files, and enterprise knowledge accessed by AI.
Human and non-human identities driving agent execution.
AI agents require a new control layer: real-time governance. That means connecting discovery, identity, policy, security, and runtime enforcement into a single system.
Discover agents, tools, identities, and data flows across environments.
Detect and restrict unauthorized AI tools and usage.
Monitor and stop risky AI agent behavior in real time with dynamic policy enforcement.
Define and enforce what agents can access, which tools they can use, and under what conditions they operate.
Extend least-privilege principles to AI agents using JIT, context-aware access tied to identity and behavior.
Continuously test agents, toolchains, and MCP servers for vulnerabilities such as prompt injection, credential leakage, and unsafe execution paths.
One platform for endpoint AI control, runtime protection, continuous red teaming, and intelligent privilege management.
Track agent credentials, ownership, and access risks. Detect stale identities.
Control which AI agents and executables are allowed to run.
Restrict access to web search, code execution, APIs, and files.
Extend least-privilege principles to AI agents using JIT, context-aware access tied to identity and behavior.
Track agent activity across systems and environments.
Mask/block secrets, PII, financials before sending to AI models.
Scope agent actions to specific S3 buckets, Salesforce objects, etc.
ML-driven detection of agent behavioural drift & data exfiltration attempts.
Identify weaknesses in agents and MCP servers.
Detect jailbreak attempts & indirect prompt injection risks.
Ensure secrets are never exposed to AI workflows.
Stop unsafe actions before they execute.
Discover agents, tools, and identities across your environment
Map permissions, data access, and execution paths
Enforce policies at runtime based on context and risk
Block or allow actions in real time
Continuously test systems via automated red teaming
This creates a continuous control loop for AI systems—not just monitoring, but enforcement.
From developer environments to enterprise automation workflows, Securden secures AI agents wherever they operate. It adapts to diverse use cases across industries and teams.
Control coding agents accessing repositories, systems, and tools.
Govern AI agents managing infrastructure and operational workflows.
Prevent AI agents from overexposing sensitive business and customer data.
Restrict AI access to databases, datasets, and analytics platforms.
Secure AI-driven workflows across SaaS and enterprise applications.
Govern multi-step AI agents operating across environments.
Embrace AI innovation while maintaining strict security and governance. With Securden, every agent operates within defined, enforceable boundaries.
All AI actions are governed and policy-bound.
Prevent unauthorized access and exposure of sensitive data.
Track and audit every AI action in real time.
Limit agent permissions to only what is required.
Enforce policies and detect drift continuously.
Meet regulatory requirements with built-in governance controls.
AI governance doesn't stand alone. It's a core module of the Securden Unified Identity Security Platform— bringing AI agents under the same control plane as users, machines, and privileged access.
One control plane for users, machines, and AI.
Least privilege enforced on every agent action.
Credentials discovered and rotated in real time.
Full visibility across enterprise audit trails.
No add-ons. No silos. Just native identity security for AI.
Start your 30-day trial—no credit card required; full platform access included.
Most security tools were built before autonomous AI. They focus on endpoints, cloud, or identity in isolation, leaving a gap for AI-driven environments. Securden is built to close that gap.
AI agents move across layers. Securden is one control plane built for that—no stitching.
Every AI agent acts through an identity. Securden extends least privilege and lifecycle control to AI directly.
Others detect after the fact. Securden blocks unsafe actions and data exposure live.
No more cobbling IAM, DLP, and CSPM for AI. Securden unifies them in one AI-native system.
Agents are already in use. Securden discovers and governs them—no waiting for planned rollouts.
Securden enables safe scaling with policy-driven control, not friction.
AI agent runtime security is the ability to monitor, intervene, and block autonomous AI actions in real time—not just after the fact. Unlike traditional security tools that log activity, runtime security enforces policies as agents execute tasks, stopping unsafe API calls, data exfiltration, or privilege escalation the moment they occur.
Securden discovers shadow AI by scanning endpoints, cloud APIs, SaaS platforms, and network traffic for unauthorized AI agents, developer tools, and MCP servers. It identifies agents employees deploy without security approval—including coding assistants, automated workflows, and browser-based AI tools—and brings them under governance.
AI agent governance defines and enforces what AI agents can access and do. It includes policies for tool usage, data access, identity control, and operational boundaries.
MCP (Model Context Protocol) servers are external tools AI agents invoke to access data or execute actions. Securden secures MCP servers by discovering them, mapping their permissions, enforcing allowlisting, red-teaming for vulnerabilities (e.g., prompt injection), and blocking unsafe invocations at runtime.
Yes. Unlike monitoring-only tools, Securden enforces real-time controls—blocking or quarantining an agent's action before it executes. For example, if an AI agent attempts to read a sensitive database or call an unauthorized API, Securden intervenes immediately based on pre-defined policies.
Identity governance controls what a human or machine identity can access. AI agent governance controls what an autonomous agent does with that access—including tool usage, data transformation, and multi-step workflows. Securden unifies both by extending least privilege, JIT access, and privilege lifecycle management to AI agents directly.
Yes. Securden generates real-time audit trails, logs, and alerts that integrate with SIEM (Splunk, Sentinel, QRadar) and SOAR platforms. It also exposes APIs for custom automations and incident response workflows.
Securden supports:
Securden's AI Red Teaming module includes an automated prompt injection scanner that tests agents and MCP servers for jailbreak attempts, indirect injection, and credential leakage. At runtime, its data redaction gateway masks sensitive data before it reaches the AI model, blocking injection payloads.
Yes. Securden uses context-aware JIT (Just-In-Time) access—granting temporary, auto-revoking permissions based on the agent's task, identity, and risk score. Policies can be tested in monitor-only mode before moving to enforcement, ensuring no disruption to legitimate automation.
Securden's AI governance is a native module of the Securden Unified Identity Security Platform—not an add-on or silo. It shares the same control plane for users, machines, and AI agents, enabling unified audit trails, credential management, and policy enforcement across all non-human identities.
Most organizations see initial discovery results within hours, not days. Securden scans endpoints, cloud APIs (AWS, Azure, GCP), SaaS platforms, and network traffic to produce an inventory of active AI agents, their permissions, and data access paths—no agents required on every laptop.
Securden helps meet SOC2, ISO 27001, GDPR, HIPAA, PCI DSS, and NIST requirements by providing:
