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Arif Mughal

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AI Security

5 articles in this category.

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AI Security

Prompt Injection Is a Data Problem, Not a Model Problem

Indirect prompt injection arrives through the documents, email, web pages and tool results an AI system reads, not through the user. OWASP's 2026 Top 10 now says no reliable prevention exists and that defence is architectural. This article explains where injected instructions enter, what model-level defences can and cannot do, and the trust boundaries on data that still hold when the model is fooled.

10 min read

AI Security

Oversharing Is the Real Copilot Risk: Fix Permissions and Labels Before You Roll Out AI

Microsoft Copilot respects existing permissions, which means it finds existing oversharing faster than any user ever did. This guide explains where excess access comes from, what SharePoint Advanced Management and Microsoft Purview actually do about it, why Restricted SharePoint Search is retiring, and a phased remediation plan, with every status checked against Microsoft's documentation in September 2026.

9 min read

AI Security

MCP Servers in the Enterprise: How to Vet, Host and Govern Model Context Protocol Tools

Every MCP server is two things at once: text your model will read, and code that acts with someone's credentials. This guide covers the current MCP specification and its OAuth 2.1 authorization model, five risk classes, a vetting checklist, where Microsoft's MCP hosting and gateway options stand in September 2026, and an allow-list model that holds up in an audit.

10 min read

AI Security

Agentic AI Security Architecture: Securing Autonomous Agents in the Enterprise

A research-grounded enterprise reference architecture for autonomous AI agents: agent identity, task-bound authorization, tool and MCP gateways, memory security, runtime containment, observability, and incident response — with an OWASP agentic Top 10 mapping, a bounded-autonomy model, and a 38-control matrix.

71 min read