pgvector for RAG: HNSW, IVFFlat, Filtering and Tenant Isolation
A practical guide to using pgvector in PostgreSQL for RAG, including index choice, metadata filters, recall, and tenant boundaries. Read article →
Security & Compliance
Prompt Injection in RAG: Why Retrieved Text Must Be Treated as Data
Prompt injection is not solved by a clever system prompt. Build safer RAG by separating instructions, evidence, permissions, and side effects. Read article →
MCP Authentication and Authorization Patterns for AI Agents
How to secure MCP servers with trusted identity, short-lived credentials, per-tool authorization, tenant isolation, delegated access, and misuse testing. Read article →
AI Agent Threat Modeling: Trust Boundaries, Tools and Recovery
Threat modelling for an agent can start with a simple story: what can it see, what can it change, and what happens if someone gives it misleading instructions? Read article →
Least Privilege for AI Agents: Tools, Data and Tenants
Least privilege lets an agent help with a real job without giving it a master key. Start with the person, the task, and the smallest useful capability. Read article →
Human Approval Patterns for AI Agents: Review the Right Boundaries
Human approval is most useful when a person is asked to judge one clear, consequential action with the evidence and context needed to take responsibility for it. Read article →
AI Agent Kill Switches and Rollbacks: Safe Recovery
A recovery plan should let you stop one unsafe workflow, understand what already happened, and resume safely instead of shutting down everything. Read article →
Retry, Timeout and Recovery Patterns for Agents
Retries are useful for temporary failures, but an indiscriminate retry can turn one uncertain request into three real-world side effects. Read article →
Avoiding Overpowered Tools in an Agent Integration
A tool that can do everything is easy to demo and hard to trust. Narrow tools make agent behaviour easier to understand, test, and stop. Read article →
What an AI Agent Should Never Be Allowed to Do
The core security and governance boundaries for tool-using AI agents, from secrets and private data to irreversible actions. Read article →
Human Approval Patterns for Autonomous Workflows
How to design useful approval checkpoints for AI workflows, including risk classification, review context, secure execution, expiry, and measurement. Read article →
AI Agent Incident Response: What to Do When an Agent Misbehaves
When an AI agent misbehaves, the first priority is to limit impact and preserve evidence. A calm incident process is more useful than trying to make the agent… Read article →
Permissions and Secrets for Production AI Agents
Practical controls for least-privilege agent tools, secret handling, delegated authority, prompt-injection resistance, and auditable production actions. Read article →
Secure Multi-Party Computation for Collaborative AI
Introduction As AI adoption accelerates across enterprises, the demand for collaborative intelligence grows. Organizations increasingly wish to jointly train models or query shared datasets to extract insights without… Read article →
Zero-Knowledge Proofs in AI: Verifiable Chatbot Responses
Introduction As AI-powered chatbots and conversational agents become increasingly integrated into critical domains—finance, healthcare, legal, and enterprise knowledge management—trust and verifiability of their responses are paramount. Users often… Read article →
Blockchain-Verified AI: Immutable Audit Trails for Chatbot Decisions
In an era where artificial intelligence (AI) and machine learning permeate nearly every aspect of digital services, ensuring transparency, fairness, and trust in automated decisions has become a… Read article →
Hybrid Cloud LLM Deployment: Balancing Performance and Compliance
Organizations deploying large language models (LLMs) increasingly face a complex set of priorities: minimizing inference latency for global users, adhering to data residency laws, and maximizing infrastructure reliability.… Read article →
Compliance and Audit: RAG Systems for Regulatory Documentation
Navigating today’s complex regulatory landscape—GDPR, SOX, HIPAA, MiFID II, and countless industry‑specific mandates—demands that organizations maintain precise, up‑to‑date documentation and be able to retrieve relevant provisions instantly. Traditional… Read article →
Federated Learning for Privacy-Preserving RAG Training
Federated learning is transforming how organizations collaborate on artificial intelligence without compromising privacy. By enabling models to learn from decentralized data sources, federated approaches keep sensitive information local… Read article →
Cross-Border Data Transfer Compliance for Global RAG Deployments
As businesses increasingly embrace Retrieval-Augmented Generation (RAG) architectures to power their global AI systems, managing cross-border data transfer compliance has become a critical consideration. The value of RAG… Read article →
Authentication and Authorization: Securing Chatbot Access to Sensitive Data
In the world of enterprise-grade chatbots powered by large language models (LLMs), security is no longer optional—it’s foundational. As conversational AI systems evolve from basic query responders to… Read article →
MCP Security Considerations: Protecting Data in Context Sharing
Implementing the Model Context Protocol (MCP) introduces powerful capabilities for AI agents to share and access contextual data across systems. However, as context often contains sensitive information—user identities,… Read article →
Confidential Computing for AI: Hardware-Protected Model Execution
As artificial intelligence (AI) permeates every industry—from healthcare and finance to manufacturing and defense—the stakes for protecting sensitive data and proprietary models have never been higher. Traditional software-based… Read article →
GDPR Compliance for AI Chatbots: Data Privacy in the EU
How to Design Conversational AI That Respects User Rights and Builds Trust AI chatbots are transforming how businesses engage with users — automating support, streamlining sales, and personalizing… Read article →