Our process ensures AI systems installations are secure, compliant, and built for lasting impact.
We work with stakeholders to review your data, risks, and compliance
requirements from day one. Then we rapidly build proof-of-concepts with real data to validate use cases
and demonstrate business value.
→ Turn ideas into tested solutions fast.
We deliver secure AI orchestration using MCP, private LLMs and enterprise
guardrails, ensuring your data remains protected while AI systems increase productivity in a controlled
and compliant manner.
→ Secure AI infrastructure, built for control and
compliance.
We build production-grade AI agents for knowledge work, operations, and
analytics. Each agent is designed with strong guardrails, observability, and governance to ensure
reliability and trust in business-critical workflows.
→ AI agents you can trust in
production.
We design and implement Shadow AI detection and AI security testing to
identify
unapproved AI usage, assess how models and agents handle sensitive data, and evaluate the effectiveness of
existing controls. This gives leadership clear, actionable insight into data leakage risks, unintended
behaviour, and control gaps.
→ Keeping AI under control.
Built for regulated industries: ISO 42001 alignment, advanced data protection, and privacy-first AI integration.
Deploy AI solutions guided by the latest international security and compliance principles.
Safeguard your data with robust encryption, strict access controls, and monitoring.
Build AI systems with privacy-first principles to support regulatory responsibilities.
Clear answers to common questions about secure, compliant MCP server solutions for data-driven businesses.
Think of it as a secure bridge between AI and your business data.
An MCP server is essentially a software 'broker', enabling secure, context-aware data exchange between AI and business systems, ensuring privacy and compliance for enterprise use.
It creates a secure, permission-based connection between AI and your systems.
MCP servers expose your data, tools, and APIs to AI through a structured, permissioned interface. AI models and agents can only access the functions you approve, ensuring predictability, governance, and audit trails.
Any business that wants to use AI safely with their proprietary data.
They are designed for enterprise and tech firms, regulated industries like finance and healthcare, research institutions, and data-intensive operations such as logistics, e-commerce, and manufacturing.
Both. We help you choose what's right for your security and operational needs.
Both. Deploy on-premises for maximum control and compliance, or in the cloud for scalability and flexibility. We help you choose based on your security, compliance, and operational needs.
Yes. They're designed to work securely with your own AI systems.
Yes. MCP servers can connect your private large language models to internal data and workflows securely, ensuring sensitive information never leaves your controlled environment.
We handle the technical complexity, you focus on the business value.
Alamata MCP servers enforce strong encryption, strict role-based access controls, and ISO/IEC 42001-aligned governance protocols. All activity is logged, providing transparency and compliance.