Operationalizing AI Security
A persona-centric framework for securing enterprise AI
AI security isn't one-size-fits-all. An employee using a GenAI assistant, an engineer deploying AI agents, and a team building AI models each create different risks. Yet many organizations continue to secure them the same way.
Download the whitepaper to explore a practical framework for securing AI Consumers, AI Deployers, and Model Developers.
Download the whitepaper
Our latest whitepaper introduces a persona-centric framework for AI security, helping organizations align governance and security controls with how AI is actually used across the enterprise.
What you'll learn
- Why AI security starts with understanding the persona, not just the technology
- How to secure AI Consumers, AI Deployers, and Model Developers with role-specific controls
- How to address risk across the interaction, orchestration, and model layers
- Best practices for governing AI agents and non-human identities
- How to operationalize AI security through engineering controls, runtime monitoring, and continuous assurance
- A practical roadmap for secure, trusted, enterprise-scale AI adoption
Watch: Why AI Security Starts with the Persona
“Not every AI user presents the same risk. Organizations that understand this distinction are better positioned to secure AI adoption at scale.”
Sukiraman Manivannan
AI Security Practice Lead, CPX