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Apono 2026 Report: Security Slows Agentic AI Adoption


Apono 2026 Report: Security Slows Agentic AI Adoption
  • by: Source Logo
  • |
  • February 26, 2026

Apono, the cloud-native Privilege Access Management platform securing human and agent identities, has published The 2026 State of Agentic AI Cyber Risk Report. The global study reveals that while enterprises recognize the transformative potential of AI agents and autonomous systems, security and data concerns are significantly constraining widespread adoption and scaling.

Quick Intel

  • 98% of respondents report security and data concerns have slowed agentic AI deployments, added review steps, or reduced project scope.
  • 77% experience moderate slowdowns or added scrutiny; 21% face significant delays or scope reductions.
  • 100% agree that attacks on agentic AI workflows would cause more damage than traditional cyberattacks.
  • Only 21% of organizations feel prepared to manage attacks involving agentic AI or autonomous systems.
  • 98% cite ongoing friction between accelerating AI adoption and maintaining cybersecurity priorities.
  • CISOs are deliberately constraining agentic AI scale until mature identity and access controls are established.

The report underscores a clear disconnect between industry enthusiasm for agentic AI and the practical realities faced by security leaders. While experimentation with autonomous agents is progressing, production-level deployments encounter substantial hurdles due to inadequate controls over identity, permissions, and access—foundations still maturing in many organizations.

"Cybersecurity leaders are actively slowing agentic AI adoption," said Rom Carmel, CEO and co-founder of Apono. "There's a lot of talk about AI agents rapidly taking over enterprise workflows, but the data in our report shows that this simply isn't the case. On the ground, CISOs are pressing the brakes."

"Ofir Stein, CTO and co-founder of Apono, added: "Organizations are still struggling to secure human access at scale. Expecting CISOs to greenlight broad autonomy to agents without mature identity and access controls in place isn't realistic. Until those foundations are in place — and our data shows they largely aren't — agentic AI deployment will continue to be deliberately constrained, regardless of current industry sentiment."

These insights highlight the critical need for robust privilege access management tailored to both human and agent identities. The report indicates that without stronger governance over who—or what—can access sensitive systems and data, enterprises will continue to limit agentic AI scope to mitigate elevated cyber risks, even as broader narratives predict rapid replacement of traditional software by autonomous agents.

 

About Apono

Apono provides Zero Standing Privilege access management for cloud infrastructure, databases, Kubernetes, SaaS, and operational resources. By automating access privilege provisioning based on intent, risk, and operational context, Apono helps organizations such as Intel, HPE, and Workday enforce Zero Trust without slowing down engineering, operations, or incident response.

  • Agentic AICybersecurityIdentity SecurityAI Security
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