Category Archives: Technology

Microsoft AI-103: Hallucination Test Sets Hallucination testing is more useful when it is built around concrete failure cases than when it relies on a vague instruction to “check factuality.” Microsoft Foundry supports reusable evaluation datasets, model and agent evaluators, synthetic test generation, trace-derived data, and CI/CD-oriented reruns. For Microsoft AI Agents, that makes a hallucination […]

Microsoft AI-103: Key Vault Patterns for AI Apps AI applications accumulate secrets faster than conventional web services because the model is only one dependency in a larger execution path. A production workload can call model endpoints, search services, databases, queues, observability systems, SaaS tools, and custom APIs during a single user interaction. In Microsoft AI […]

Microsoft AI-103: Managed Identity for AI Apps Managed identity changes the way an AI application proves who it is. Instead of shipping a client secret with the workload, an Azure-hosted service can ask Microsoft Entra ID for a token that represents a platform-managed identity. In Microsoft AI Agents, that pattern is especially valuable because an […]

Microsoft AI-103: MCP Servers for Microsoft Agents Model Context Protocol servers give Microsoft agents a standardized way to discover and invoke external tools, but the protocol does not remove the need for ordinary application security. An MCP server can expose read operations, write operations, administrative actions, and business workflows through one tool surface. In Microsoft […]

Microsoft AI-103: Model Deployment Quotas in Foundry Model deployment quota in Microsoft Foundry is capacity planning expressed as an application constraint. A model may be available in the catalog and a deployment may be technically valid, yet the application can still fail under load because its assigned tokens-per-minute or request rate is too low for […]

Amazon AWS AIP-C01: OpenSearch Neural Search OpenSearch neural search changes the retrieval problem from “which documents contain these words?” to “which documents are semantically closest to what the user meant?” That distinction is important for generative AI because a RAG system can produce fluent output from poor evidence. In Generative AI on AWS, Amazon OpenSearch […]

Amazon AWS AIP-C01: Private GenAI Networking on AWS Private networking for generative AI on AWS is less about hiding one endpoint and more about controlling the complete data path. A production request may begin in an application subnet, call Amazon Bedrock, retrieve documents from Amazon OpenSearch Service or S3, read credentials from Secrets Manager, use […]

Amazon AWS AIP-C01: Prompt Injection Defenses on AWS For AWS AIP-C01, prompt injection is a control-boundary problem disguised as a language problem: untrusted text must not gain authority over tool permissions or application instructions. A user, retrieved document, tool result, or external webpage can contain text that tries to override developer instructions, reveal hidden prompts, […]

Amazon AWS AIP-C01: Provisioned Throughput for Bedrock In AWS AIP-C01 capacity planning, Amazon Bedrock Provisioned Throughput is a capacity commitment rather than a prompting technique; it changes inference predictability and cost commitments without removing application responsibilities. It is designed for workloads that need a more predictable level of model processing than ordinary shared on-demand usage […]

GitHub Copilot Agent Mode: Permissions and Control GitHub Copilot agent mode illustrates how code assistance becomes multi-step execution inside a development environment, where tool permissions and review checkpoints matter alongside the code itself. It can inspect a project, edit files, run commands, react to results, and continue until the task is complete or human input […]

Designing GitHub Copilot CLI Workflows GitHub Copilot CLI brings agentic assistance into the terminal, where developers already build, test, inspect repositories, and automate repetitive work. Current GitHub documentation supports both an interactive `copilot` experience and non-interactive execution with a prompt, plus dedicated workflow execution for dynamic workflows. For CLI-driven development, the important question is not […]

Managing GitHub Copilot Content Exclusions GitHub Copilot content exclusion lets organizations tell supported Copilot surfaces to ignore specified files or paths. It is a governance control for reducing the chance that sensitive or out-of-scope repository content becomes model context. For GitHub Copilot administrators, exclusion coverage is not universal: support differs by client and mode, and […]

Zero Trust Network Access is often described as a replacement for remote-access VPN, but that description is too narrow for Cisco Secure Access. The more useful model is policy-controlled private application access in which identity, device trust, destination definition, traffic steering, and enforcement are evaluated together. A user is not simply placed “inside” the network […]

Security operations teams do not struggle only with detecting incidents; they struggle with deciding what deserves attention first. Cortex XDR incident scoring addresses that queue-management problem by attaching a numeric urgency signal to an incident, but the score is useful only when the organization understands how it is produced and what operational decision it is […]

Cortex XDR causality chains are designed to solve one of the hardest parts of endpoint investigation: connecting a detection to the sequence of activity that produced it. An alert can identify a suspicious process or behavior, but the investigator still needs to understand what launched it, what it launched next, which network connections and file […]