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RAG Pipeline Security Best Practices for 2026: Protecting Sensitive Data

by Tim Freestone March 20, 2026March 20, 2026 | Cybersecurity Risk Management

Retrieval-Augmented Generation (RAG) pipelines have quickly become the backbone of enterprise AI systems. Yet as organizations connect language models to internal knowledge bases, the risk of inadvertently exposing sensitive data...

7 Proven Methods to Shield AI Models from Credential Exposure

by Tim Freestone March 20, 2026March 20, 2026 | Cybersecurity Risk Management

AI models increasingly integrate into enterprise workflows—but that also means they frequently interact with sensitive systems and data sources. When those models can access or inadvertently expose authentication credentials, the...

Jensen Huang Just Defined the Strategic Imperative—but Left the Hardest Part Unsolved

by Tim Freestone March 17, 2026March 17, 2026 | Cybersecurity Risk Management

On March 16, 2026, NVIDIA CEO Jensen Huang stood before a capacity crowd at the SAP Center in San Jose and issued what may become the defining technology mandate of...

What Is the Model Context Protocol (MCP) — and Why It Matters for Enterprise Data Security

by Tim Freestone March 16, 2026March 16, 2026 | Cybersecurity Risk Management

If your organization is deploying AI assistants — or planning to — you will encounter the Model Context Protocol. MCP is the emerging standard that determines how AI tools like...

How Should Enterprise AI Systems Authenticate? A Security Leader’s Guide to AI Credential Management

by Tim Freestone March 16, 2026March 16, 2026 | Cybersecurity Risk Management

Every enterprise AI system that accesses data needs credentials. That is not a new problem — applications have authenticated to data systems for decades. What is new is the attack...

Why RAG Implementations Fail Security Review — and How to Build One That Doesn’t

by Tim Freestone March 16, 2026March 16, 2026 | Cybersecurity Risk Management

The demo worked. The pilot was compelling. The business case was strong. And then the security review started. For many enterprise AI teams, this is where Retrieval Augmented Generation (RAG)...

Direct API vs. MCP vs. AI Data Gateway: How to Choose the Right AI Integration Architecture

by Tim Freestone March 13, 2026March 13, 2026 | Regulatory Compliance

Every AI engineering team building on enterprise data eventually faces the same architecture decision: how does the AI connect to the data? Three patterns dominate the current landscape. Direct API...

Zero-Trust for AI Systems: Why the Same Principles Apply — and Where They Break Down

by Tim Freestone March 13, 2026March 13, 2026 | Cybersecurity Risk Management

Zero-trust is one of the most mature frameworks in enterprise security. The principles — never trust, always verify, assume breach, enforce least privilege — are well understood, well implemented, and...

RAG in Production: The Governance Checklist Security Teams Need Before Go-Live

by Tim Freestone March 13, 2026March 13, 2026 | Cybersecurity Risk Management

The gap between a RAG pilot and a production deployment is not technical — it is a governance gap. Pilots are built to prove AI capability, so they take shortcuts:...

Prompt Injection, Credential Theft, and AI Trust Boundaries: What Developers Building on LLMs Need to Understand

by Tim Freestone March 13, 2026March 13, 2026 | Cybersecurity Risk Management

Building on large language models introduces an attack surface that most application security frameworks were not designed to address. Traditional web application threats — SQL injection, CSRF, path traversal —...

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