#123: #AIRadarDaily — Enkrypt AI

Somewhere inside every large enterprise right now, there is a CISO who cannot sleep. Generative AI has arrived — not through a careful, centralized rollout, but through a thousand quiet side doors. A marketer pastes a customer list into ChatGPT, an engineer spins up an autonomous agent with unreviewed permissions, and an embedded AI feature inside a legacy SaaS tool defaults to "on". The policy document exists, beautifully written and board-approved, but nobody can actually prove it holds in the real world. Security teams see risk, IT sees an accelerator, and the gap between what a company says about AI and what is actually happening grows wider every single day.

It takes builders with deep infrastructure rigor and an uncompromising grasp of enterprise security to look at this invisible chaos and build a system that restores absolute control. That is exactly what Sahil Agarwal and Prashanth Harshangi are doing with Enkrypt AI.

Founded in 2022 by two Yale PhDs who have deployed AI models across complex, high-security environments like the US Department of Defense, Sahil and Prashanth are building the definitive AI control plane — an inline security and governance layer that turns theoretical policy into runtime reality.

Enkrypt AI Sentry sits as an inline command center between users and Large Language Models. Instead of requiring companies to re-architect their systems, it intercepts and inspects every interaction in real-time. A natural-language policy engine compiles governance intent into enforceable boundaries — automatically redacting sensitive data, blocking prompt injection and jailbreaks in the act, and generating full, explainable audit logs. Through automated red-teaming, it continuously probes deployed AI systems for vulnerabilities long before an adversary can exploit them.

The true moat here is that Enkrypt refuses the assumed trade-off between safety and speed. It doesn't slow innovation down to check a box. By replacing anxiety with tamper-evident evidence that leaders can confidently take to a regulator or a board, it gives security teams proactive visibility and reduces AI vulnerability rates by orders of magnitude. It replaces a culture of quiet fear with a quiet, reliable sense of clarity.

The market? CISOs, CIOs, and compliance leaders across highly regulated industries like finance, insurance, and defense — anyone whose job is to say yes to AI velocity without betting the entire company on it.

Seeing founders of this caliber head-down, architecting the core trust layer that the agentic era will run on, is profoundly inspiring. They are quietly rewriting the playbook for enterprise AI security, giving organizations their momentum back.

Let's celebrate the builders.

w/ Jay Ingle

#AIGovernance #EnterpriseAI #ProductNation