On Trust and AI:
A Blueprint for Confidence in the Intelligent Enterprise

It’s no surprise that CISOs and security leaders are being asked to drive one of the biggest transformations of their career—without a clear roadmap. There’s no mature model for generative AI, no benchmarks to guide when to restrict or expand access, and most organizations still lack a shared definition of responsible AI adoption.

Leaders adopting AI must hold two truths at once: it can unlock efficiency, creativity, and insight at unprecedented scale, while also breaking long-stable working models about authorship, data governance, and control.

The solution isn't to "innovate first, secure later" or to "lock down everything"; it's to advance on both fronts simultaneously through a new architecture of control that moves trust into transparent, verifiable systems.

In this eBook, Alexander Feick, Vice President of Labs at eSentire, provides a practical roadmap for securing what matters in the AI era. Through real-world examples, he shows why verification—not blind faith in AI models—becomes the defining capability of the intelligent enterprise.

Key insights include:

• Defining security risk with AI including how AI breaks established cybersecurity assumptions and requires complete governance reinvention.
• Implementing an AI Control Plane that wraps AI models with observability and risk-appropriate oversight without slowing innovation.
• Maintaining human oversight at key checkpoints to guide, validate, and correct AI actions in high-impact scenarios.
• Preventing emerging threats from AI including model poisoning, prompt injection, and cross-plugin exploitation at each adoption level.
• Scaling with confidence by letting verification—not assumption—power your AI growth.

Read this eBook to transform your organization’s AI adoption from a potential liability into a strategic advantage that drives measurable business value.