Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI systems are no longer experimental. They sit at the center of product experiences, internal workflows, and customer-facing automation. As soon as an AI feature ships, it starts handling real data. Customer messages. Internal documents. Support tickets. Logs. Training samples. That’s when AI data security stops being an abstract concern and becomes a product requirement.

As Artificial Intelligence (AI) agents become more autonomous by accessing critical systems and acting without real-time human oversight, they are evolving from productivity tools into active Non-Human Identities (NHIs) like service accounts or API keys that require the same oversight and controls as human users. This shift expands organizational attack surfaces, introducing new security risks related to overprivileged access and lateral movement of NHIs across cloud infrastructure.

Today’s security teams need AI models that can reason over massive telemetry and support autonomous actions. At CrowdStrike, we're working closely with NVIDIA to operationalize NVIDIA Nemotron open models1, building on our existing integration of Nemotron on Amazon Bedrock within the CrowdStrike Falcon platform. This collaboration enables us to rigorously test and adapt large language models (LLMs) for security-specific workloads while maintaining production-grade performance and security.

New York has started a movement to reshape the AI compliance landscape for companies doing business in the state. Other states are following suit making Governance and AI Compliance an increasingly critical endeavor.

While Hamlet asked the existential question “to be or not to be,” most security teams ask an equally esoteric question that ultimately defines their ability to manage alerting and detection: “to deploy on-prem or in the cloud?” When adopting a security information and event management (SIEM) solution, organizations must make a foundational decision around whether to deploy the solution on-premises or in the cloud.