AI Agents Pose Growing Cybersecurity Threats to Businesses
AI agents are transforming productivity but also creating significant security risks for organizations. A new survey reveals gaps in AI security controls and the rising threat of machine identities.
A new report from CyberArk highlights the growing risks posed by AI agents and machine identities in enterprise environments. The 2024 Identity Security Landscape Report, based on a survey of 2,600 security leaders across 20 countries, reveals alarming gaps in AI security controls and the escalating threat of identity-centric cyber risks.
Key Findings:
- 94% of organizations use AI for security, but only 32% have controls in place.
- Machine identities are proliferating, yet companies still prioritize human privilege management.
- AI-powered phishing, deepfakes, and voice scams are on the rise, making attacks harder to detect.
- Shadow AI (unregulated AI tools) is a growing concern, with 47% of organizations unable to secure it.
Rising Threats:
- AI Agents: These machine identities often have elevated access but lack proper security oversight, creating a "Wild West" scenario.
- Phishing & Deepfakes: AI enables highly targeted "laser phishing" and convincing voice/video impersonations (e.g., a $4M scam in Italy using a fake defense minister's voice).
- Human Behavior: Employees continue to bypass security policies (65%), reuse passwords (36%), and download sensitive data (40%).
Expert Insights:
Clarence Hinton, Chief Strategy Officer at CyberArk, warns:
"Adversaries are shifting focus to machine identities and AI agents. Companies must apply least privilege, zero standing access, and just-in-time controls to mitigate risks."
Recommendations:
- Secure AI Agents: Treat them like privileged users with robust access controls.
- Combat Shadow AI: Implement frameworks similar to SaaS security (SSO, MFA).
- Enhance Training: Update protocols to address AI-enabled threats like deepfakes.
"If you're not securing AI agents now, you're already behind," Hinton emphasizes. The race to outpace cybercriminals is intensifying as AI adoption accelerates.
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About the Author

Dr. Lisa Kim
AI Ethics Researcher
Leading expert in AI ethics and responsible AI development with 13 years of research experience. Former member of Microsoft AI Ethics Committee, now provides consulting for multiple international AI governance organizations. Regularly contributes AI ethics articles to top-tier journals like Nature and Science.