CyberArk Announces Identity Security Solution to Secure AI Agents At Scale
CyberArk (NASDAQ: CYBR), the global leader in identity security, has announced the CyberArk Secure AI Agents Solution, designed to help organizations implement identity-first security for agentic AI using the CyberArk Identity Security Platform.
NEWTON, Mass. & PETACH TIKVA, Israel — CyberArk (NASDAQ: CYBR), the global leader in identity security, has unveiled the CyberArk Secure AI Agents Solution. This new offering aims to secure autonomous AI agents by leveraging the CyberArk Identity Security Platform.
Growing Threat Landscape
According to Gartner®, "By 2028, 25% of enterprise breaches will be traced back to AI agent abuse, from both external and malicious internal actors." This prediction underscores the urgent need for robust security measures as AI agents become more autonomous and scalable.
Key Features of the Solution
The CyberArk Secure AI Agents Solution provides:
- Discovery and context for observability into known and shadow agents.
- Privilege control to enforce least privilege and manage credentials.
- Threat detection & response for real-time behavioral monitoring.
- Automated lifecycle management to eliminate stale or excessive access.
- Governance to ensure compliance with organizational and regulatory requirements.
Developer Tools and AI Integration
CyberArk has also released an open-source security toolset for developers, available on GitHub. Additionally, the solution integrates CyberArk CORA AI™, an AI engine that enhances security across the platform.
Forward-Looking Statements
The company cautions that forward-looking statements involve risks and uncertainties, including challenges related to AI adoption and cybersecurity threats.
For more information:
- CyberArk Secure AI Agents Solution
- Securing the Backbone of Generative AI with the CyberArk Blueprint
- CyberArk CORA AI
Contact:
- Investor Relations: Srinivas Anantha, CFA, ir@cyberark.com
- Media: Rachel Gardner, press@cyberark.com
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About the Author

Dr. Sarah Chen
AI Research Expert
A seasoned AI expert with 15 years of research experience, formerly worked at Stanford AI Lab for 8 years, specializing in machine learning and natural language processing. Currently serves as technical advisor for multiple AI companies and regularly contributes AI technology analysis articles to authoritative media like MIT Technology Review.