Secure AI Agents
Secure the next wave of autonomous, self-reasoning agents that can operate at the speed of machines. Join our virtual event to learn more.
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’s Identity-First Approach to Agentic AI Security
The CyberArk Identity Security Platform enables secure access for all identities including human, machines and now AI agents.
Discover, manage and secure AI agents to keep your sensitive resources safe.
Discovery and Context
Full visibility into agents and their access
Secure Agentic Access
Strong authentication, authorization, least privilege and just-in-time access
Threat Detection and Response
Real-time monitoring and anomaly detection
Lifecycle Management & Compliance
Scalable tools to manage agent identities from creation to decommission
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.
AI Security Outlook
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CIO POV: What am I actually supposed to do with agentic AI?
For every enterprise CISO in the world right now, the burning question isn’t about cloud, TPRM, or internal threats
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Illusion of control: Why securing AI agents challenges traditional cybersecurity models
With AI agents rapidly becoming integral to business operations, security teams must shift from reactive conversation monitoring to proactive permission management
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Securing Identities for the Agentic AI Landscape
Twenty-five years ago, we set out to tackle one of the most challenging problems in identity security: Securing privileged access. Today, CyberArk takes another giant step forward, extending our leading identity security to the rapidly evolving challenge of securing AI agents
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
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.
