The integration of AI into workflows is no longer a “future” goal – it is a current operational reality. But for regulated industries, like financial services, or healthcare and government, the challenge isn’t simply about adoption; it’s about governance.
To solve this challenge, AOT and Stacklok focused on providing a production-ready framework for deploying AI agents that are secure, compliant, and connected to data and tools behind the corporate firewall. Things to consider:
1. The Core Challenge: Bridging the Trust Gap in AI
For CISOs and Engineering leaders, the primary hurdle to AI adoption is the risk of sensitive data leaving the corporate firewall.
- The Problem: standard AI tools often require data to be sent to external models
- The Solution: AOT and Stacklok can curate a registry of Model Context Protocol (MCP) servers and implement an MCP Gateway with advanced security controls, all deployed in an enterprise’s virtual private cloud.
2. The Core Technology: Why MCP Matters
The Model Context Protocol (MCP) is the emerging standard for connecting AI models to data sources. Stacklok, led by Kubernetes co-creator Craig McLuckie, has built the definitive platform for this protocol.
- Governance – centralized control over which AI tools can access specific data sets
- Scaling – deploy/manage MCP services using industry standard container orchestration
- Security – real-time monitoring and “firewalling” of AI agent requests
- Data Integrity – ensures sensitive workloads stay within your controlled environment
3. Industry Focus: Compliance By Design
This partnership specifically addresses the regulatory hurdles facing the Financial Services sector. We ensure that adoption does not come at the cost of legal standing.
- Regulatory alignment – designed to meet OSFI, SEC, GDPR requirements
- Auditability – every event with your AI agent is logged for modern compliance
4. Expert Perspectives
Financial institutions can’t afford to trade security or compliance for speed. By using ToolHive, AOT helps regulated organizations build and run AI agents at scale with the centralized governance, and security they require for long-term trust.
Praveen Ramachandran, Co-Founder & Director, AOT Technologies
We work together to ensure AI tools are highly utilized and impactful. With AOT, our customers adopt MCP in production workflows, with the proper processes and architecture.
Craig McLuckie, Co-Founder and CEO, Stacklok
5. Getting Started with Secure AI
AOT combines deep experience in low-code transformation with Stacklok’s MCP security to deliver a roadmap for AI maturity.
- Audit – evaluate your current AI risk profile
- Integrate – Deploy Stacklok’s ToolHive within your Kubernetes environment
- Scale – Connect AI agents to critical content to drive measurable performance gains
About the Partners
Stacklok – Stacklok’s team of platform builders make it easy for teams to curate an MCP registry, scale MCP via Kubernetes, and secure their footprint with an MCP gateway. Learn more at www.stacklok.com
AOT Technologies – Experts in digital transformation, and known for their award-winning low-code platform formsflow.ai. AOT helps governments, educational institutions, and financial services to streamline complex business processes. Learn more at www.aot-technologies.com
About the author : Peter Famiglietti, Principal – Partnerships, Alliances, Co-Marketing at AOT Technologies, is a seasoned strategic leader specializing in partnerships, alliances, and co-marketing, with a focus on driving growth through collaborative business relationships.