Secure AI Agents
Industry-first privilege controls for AI agents. Secure the next wave of autonomous, self-reasoning agents that can operate at the speed of machines.
CHALLENGES
Agentic AI is Expanding. So Are Your Security Risks.
A new identity class
AI agents inherit the threats of both human and machine identities.
Expanded attack surface
AI agents are inherently privileged identities with broad access to your sensitive data, putting you at risk.
Shadow AI
Without a secure way to approve and onboard all AI agents, you are blind to the risks being introduced to your organization.
Scale and oversight
The huge uptick in AI agent identities need to be onboarded, managed and deprovisioned without added burden.
SOLUTIONS
CyberArk Secure AI Agents
An identity-first approach to agentic AI security built on tight privilege controls
Discover, manage and secure AI agents with the right level of privilege control to keep your sensitive resources safe.
CAPABILITY
Discovery and Context
CyberArk Secure AI Agents discovers AI agents across SaaS, cloud, and developer environments. Each agent is enriched with context, such as ownership, purpose description, status, and permissions – helping you understand who owns each agent, what it does, and what it can access.
CAPABILITY
Secure Agent Access
AI agents are privileged identities with access to your sensitive resources. Our AI Agent Gateway is an enforcement point between AI agents and the tools they use. Permissions are granted to AI agents only for a specific task, with the right level of privilege, and revoked automatically, helping to ensure the agent has zero standing privileges.
Additional Capabilities:
CAPABILITY
Lifecycle Management and Compliance
Get visibility and auditability into the actions agents are taking. Secure AI agents logs agents actions and communications, allowing you to see what actions were performed by what agent and on behalf of which user.
CAPABILITY
Threat Detection and Response
It’s important to have functionality that can flag abnormal agent behaviors, so you can immediately suspend that agent and disable or shut down services. Secure AI Agents provides information on agent actions and how they are used. If an agent behaves abnormally or exceeds its role, you can immediately suspend it.
AI Security Outlook
WHITEPAPER
Securing Agentic AI Identity as the Foundation of Defense
This paper examines the current state of agentic AI adoption compared to actual controls deployed, according to the 104 financial and technology security leaders surveyed.
WHITEPAPER
Key Requirements to Secure AI Agent Identities, Privilege, and Access
Gain practical guidance for securing the identities, privileges, and access of AI agents in enterprise environments.
BLOG
CyberArk Secure AI Agents: A Closer Look at New Solution Capabilities
Learn more about the CyberArk Secure AI Agent Solution from our product team.
Get Started with Open Source Modules from CyberArk Labs
Agent Watch
A new observability framework to gain insights into AI agent interactions.
- Real-Time Tracking: Monitor LLM and tool calls.
- Advanced Visualization: Generate intuitive graphs for analysis.
- Metadata Capture: Log tool inputs, arguments and performance data.
- Compatibility: Works with multiple AI frameworks.
Agent Guard
Simplify your work and reduce the level of boilerplate code you need to write.
- Secured Environment Variables Provisioning: Populate API keys and secrets as environment variables.
- Free & Flexible: Supports secret providers like CyberArk Secrets Manager (formerly Conjur) and AWS Secrets Manager.
Try CyberArk SCA MCP Server – Now Available in AWS Marketplace
Empower developers and AI agents to securely access cloud infrastructure right from your IDE, without embedded secrets or manual approvals.
“Agents are already demonstrating how the worlds of machine identity and human identity blur and are secured. They require their own identity framework.”
Kevin Bocek
SVP, Innovation, CyberArk
FAQ
Frequently asked questions: Secure AI Agents
Learn more about AI agent security, agentic AI, and CyberArk’s Secure AI Agents solution.
Yes. It’s important to have an AI security strategy before any agents are deployed. Today’s low-code/no–code platforms mean almost anyone can develop and deploy agents, and your organization needs to implement security policies and controls early – as it is much more difficult to add them after the fact.
Audits show what human user initiated the agent, which AI agent identity acted, which tools ran, and which resource was touched.
Agentic AI agents can be a security challenge for many reasons, including:
- AI agents are non-deterministic, meaning they can produce different results for the same input, which can break traditional security models.
- AI agents require elevated privileges to access sensitive resources like databases, APIs, financial systems, and customer data.
- AI agents make decisions independently, introducing unpredictability.
- Developers can create agents without security oversite (shadow AI)
- And more
For a successful AI security strategy, we recommend:
- Adopting an identity-first approach with discovery, inventory, and classification of agents.
- Enforcing least privilege for agents, ensuring they only have the access for the specific action and the specific time window needed.
- Establishing governance and lifecycle management, including clear policies, regular audits, and alignment with regulations.
To get started, check out our Whitepaper Key Requirements to Secure AI Agent Identities, Privilege, and Access.
The risks of AI agents stem from ensuring these identities have the right level of privilege access – just as you need to do with humans and machines. AI risks increase:
- As your agents evolve from simple AI assistants to agentic AI with increased access privileges to sensitive enterprise resources
- As you start granting more autonomy to agents with humans in a supervisory role
- As agents start delegating tasks to other agents and the risk is no longer contained to one system
Without the right security guardrails in place, you are creating vulnerability points in your environment which could lead to breach.
Secure AI Agents can help you:
- Deliver cyber risk reduction with a clear view of the AI agents in your environment and the ability to enforce least privilege access.
- Enable business resilience by unlocking productivity benefits of AI without the business risk.
- Satisfy audit and compliance with lifecycle management and audit tools.
- Increase efficiency and automation by freeing up security teams from the manual work of managing AI identities.
Talk With Us Now
Agentic AI is here, and its adoption is accelerating. Without identity security, these autonomous systems could become your biggest vulnerability. Act now to stay ahead.
