Welcoming Merritt Baer as Chief Security Officer at Enkrypt AI
We are proud to share that Merritt Baer has joined Enkrypt AI as our Chief Security Officer. At Enkrypt AI, everything we build is guided by one simple idea: AI should be safe, secure, and trusted. Merritt’s leadership will help us strengthen that commitment.
Merritt is a seasoned security executive who has built her career protecting systems at scale, including over five years in the Office of the CISO at Amazon Web Services, where she served as Deputy CISO, helping to secure AWS’s global infrastructure. She has also worked on security in all three branches of the U.S. government. Her perspectives on technology, regulation, and risk have been featured in leading publications, including The Wall Street Journal, Forbes, VentureBeat, TechCrunch, SC Media, and Lawfare.
Over the past year, I have had the privilege of working closely with Merritt as Senior Advisor to Enkrypt AI, and she has been incredible to collaborate with. Those who know her, understand that her expertise is matched by candor, humor, and a willingness to ask the hard questions. We are now excited and proud to welcome her on board full-time.
Here’s more from Merritt on why she chose to join EnkryptAI:
“AI is the most pressing issue in both innovation and security today. As an enterprise CISO, I’ve seen firsthand how practical concerns around governance, safety, and implementation often lag behind the rapid pace of adoption. Organizations are eager to move forward, but the frameworks and controls to do so responsibly are still taking shape. That’s why I’m joining EnkryptAI. The company is built by a team of math PhDs with an engineering- and research-first mindset, not a one-size-fits-all product approach.
Their work is grounded in imagination, but also in real-world relevance. For example, many enterprises have stood up AI committees or announced AI governance frameworks, but then face the question: now what? EnkryptAI bridges that gap by taking a natural language policy and mapping it into enforceable controls, whether that means ensuring a customer-facing chatbot doesn’t provide legal advice, or preventing employees from inadvertently exposing proprietary information in generative AI tools.
Throughout my career, whether working for the U.S. government or at AWS, I’ve focused on the landscape-level impact I can have in security. With AI, that impact spans model security, the safety of use cases, and the outcomes those systems produce. My goal at EnkryptAI is to make security systemic, something built into the infrastructure of enterprises, institutions, and the systems people rely on every day. That’s the opportunity I see at EnkryptAI: to make security an inheritance, not a luxury, and to help enterprises adopt AI responsibly, at scale.
With Merritt’s leadership, Enkrypt AI is strengthening its commitment to helping enterprises adopt AI with the security behaviors and resilience to earn trust, and operationalize it. — Sahil Agarwal, CEO, Enkrypt AI
Frequently Asked Questions
AI governance is the framework of policies, controls, and oversight that ensure AI systems operate safely, securely, and in compliance with organizational and regulatory standards. Enterprises need it to bridge the gap between rapid AI adoption and responsible deployment at scale.
- Translates natural language policies into enforceable technical controls across deployments
- Prevents misuse cases like chatbots providing unauthorized legal advice or data exposure
- Reduces manual compliance effort by up to 90% through automated policy mapping
Implement AI governance by establishing a centralized policy engine that maps business rules to runtime guardrails, then enforce those controls across all AI systems and agents in your infrastructure. Enkrypt AI's policy engine automates this process for enterprises.
- Define governance policies in natural language, not technical code
- Deploy runtime guardrails that block unsafe actions in real time
- Monitor and audit AI system behavior against compliance frameworks
Governance frameworks are written policies and committees; enforcement is the technical implementation that actually stops unsafe AI behavior. Many enterprises announce frameworks but lack the tools to operationalize them into working controls.
- Frameworks define what should happen; enforcement makes it happen automatically
- Without enforcement, policies remain aspirational rather than binding
- Enkrypt AI bridges this gap by converting policies into executable guardrails
Enkrypt AI is purpose-built for enterprise AI governance, combining policy management, red-teaming across 300+ risk categories, and runtime guardrails to enforce compliance at scale. The platform was recognized as a Gartner Cool Vendor in AI Security 2025.
- Centralized policy engine maps governance rules to enforceable controls
- Real-time guardrails prevent policy violations before they occur
- Benchmarks 200+ LLMs on safety and compliance through public leaderboard
Enkrypt AI turns AI governance frameworks from policy documents into enforceable controls. Book a demo to see how your enterprise can operationalize responsible AI adoption, or start a free trial today.
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