Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

As organizations rely more on Artificial Intelligence (AI) to power critical operations, the infrastructure supporting AI development and deployment is becoming a high-value target for cybercriminals. From model training and data pipelines to cloud workloads and APIs, AI operations rely on access to privileged credentials and critical systems.

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For two decades, security practitioners have lived with a tidy, almost childlike definition of an incident.

Report finds growing tension between AI acceleration goals and security readiness as autonomous systems move toward production NEW YORK — February 2026 — Apono, the cloud-native Privilege Access Management platform securing human and agent identities, today released The 2026 State of Agentic AI Cyber Risk Report, a global study examining how enterprises are approaching agentic AI adoption amid rising security concerns.

SOC 2, which stands for Systems and Organization Controls 2, is a framework developed by the American Institute of Certified Public Accountants (AICPA) to evaluate controls for security, availability, processing integrity, confidentiality, and privacy. As agentic AI systems begin acting autonomously, AI and SOC 2 compliance become closely linked. These systems drive new efficiencies, but also introduce new risks.

A recent BBC investigation highlighted how easily large-scale AI models can be influenced by misleading content scraped from the web. Within hours of a deliberately false article being published, multiple generative AI systems were repeating the fabricated facts as if they were true. This was not a code flaw; it was a predictable outcome of how these models process and prioritise input.

AI agents aren’t applications. They’re employees. So why are we treating them like applications? AI agents don’t behave like classic applications. They access systems. They make decisions. They operate continuously. They interact with humans and other systems without being explicitly triggered each time. That’s not automation. That’s not scripts. That’s a digital worker.

Cato CTRL’s Vitaly Simonovich (senior security researcher) has identified a threat actor selling root shell access to a UK-based automation company through a compromised AI personal assistant based on OpenClaw.

Google Threat Intelligence Group recently released its latest report, “GTIG AI Threat Tracker: Distillation, Experimentation, and (Continued) Integration of AI for Adversarial Us,” on how malicious adversaries are using AI to commit cybercrimes.

AI adoption isn’t slowing down. It’s accelerating, quietly, unevenly, and often outside formal control. To separate assumption from reality, CultureAI commissioned an independent research study of 300 senior technology, security, and risk leaders across North America and Europe. Respondents included CISOs, CIOs, CTOs, Data Protection Officers, and senior IT and security leaders across finance, healthcare, technology, legal, and professional services.