Applied AI
Securing Internal RAG Indices from Unauthorized Access
Securing internal RAG indices in production is not optional. This article presents a practical, architecture‑driven approach to protecting embeddings.
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Technical Advisory & Systems Research
Engineering Perspectives
Deep dives into Agentic Workflows, distributed systems, and the architectural rigor required to move AI from experimentation to enterprise-grade production.
Applied AI
Securing the Agent Loop: Preventing Prompt Injection in Tool-Enabled AI for Production Systems
Tool-enabled AI in production requires a disciplined approach to prevent prompt injection within the agent loop.
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Applied AI
Securing the Agentic Surface Area: Practical Defenses Against Model-to-Model Attacks
In production AI, the agentic surface area represents the network of interactions among agents, models, data stores, and tools.
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Applied AI
Securing the Model Context Protocol (MCP) in a Private Cloud
In production-grade AI, securing the Model Context Protocol (MCP) in a private cloud is not optional—it's a design constraint.
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Applied AI
Securing Tool-Use Permissions for Agents in a Linux Environment: Production-Grade Practices
In Linux environments where autonomous agents operate tools, a disciplined approach to tool-use permissions is essential for security, reliability, and scalable delivery.
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Applied AI
Security by Design with AI Agents: Proactive Safeguards for Production Enterprise AI
Security is not a feature you bolt on after deploying AI agents. In practice, security-by-design means building every layer of the system with governance, provenance, and risk controls baked in from day one.
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Applied AI
Security checklists for AI code-review agents in production
Code-review agents are increasingly embedded in production AI systems that touch customer data, business logic, and decision-making.
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Applied AI
Security Hardening for Agentic Tool Access: Implementing Fine-Grained Allow-Lists
Answering the call for secure, scalable automation requires a concrete strategy: implement fine-grained allow-lists for agentic tool access, codify policy as code, and enforce decisions at runtime with centralized governance.
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Applied AI
Security-focused skill files to strengthen authentication flows
In production-grade authentication, you are not shipping a single function you call once. You are orchestrating a secure, auditable pipeline of identity verification, token handling, session management, and governance across services and teams.
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