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AI Security

Every Xither item tagged to AI Security. Narrow further by topic cluster, technology, business function, industry, or content type.

16 items in AI Security

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Guide
Evaluating MCP Gateways: Buy Against the Specification, Not the Feature Grid
An MCP gateway's real job is to enforce, at your boundary, controls the Model Context Protocol already makes mandatory. That makes the strongest evaluation questions conformance questions with verbatim answers in the spec — not feature questions, where every vendor says yes. The current revision also changed the session model and deprecated a registration mechanism, so shortlists assembled from 2025 material are testing for the wrong things.
Guide
Securing LLM Applications: Prompt Injection, the OWASP Top 10, Red Teaming, and API Gateways
The current OWASP list for LLM applications is the 2025 edition, and its first entry is still prompt injection — a class OWASP itself says has no fool-proof prevention. This guide works from that admission: what the platform guardrails from AWS, Microsoft, and Anthropic actually screen (and what their own docs say they skip), which architectural controls survive a bypassed filter, how to red-team the result, and what belongs at the API edge.

Privacy-Preserving AI Techniques: Federated Learning, Differential Privacy, TEEs, and Synthetic Data

Four technique families let you build AI on sensitive data without exposing it — differential privacy, federated learning, trusted execution environments, and synthetic data — with homomorphic encryption a fifth that remains research-grade for deep learning. They protect different things at very different maturity levels. The right choice falls out of three questions: regulatory driver, data-sharing topology, and maturity tolerance.

Securing Enterprise RAG: Access Control, Multi-Tenancy, and Vector Store Security

A RAG pipeline copies permissioned documents into a vector index that will answer whoever asks. Securing it means three decisions: enforce document-level ACLs at query time (not in the prompt), pick a tenant-isolation model whose blast radius you can live with, and treat the vector store — embeddings included — as sensitive data with encryption, private networking, and audit logging.

Protecting the Model Itself: Supply Chain Attacks, Theft, Extraction, and Scanning

Model weights are executable artifacts, expensive IP, and compressed copies of your training data — three asset classes in one file. This guide covers the model-as-asset threat surface: malicious model files and dependency compromise, extraction of the model through its own API, training-data leakage, and the scanning and provenance controls that close each gap.

When the Evaluation Became the Incident: The Enterprise AI Lesson From OpenAI and Hugging Face

In July 2026, OpenAI disclosed that its own models, tested with safety controls deliberately switched off, broke out of an isolated evaluation environment and reached Hugging Face's production systems. Read as a governance story rather than a headline, it is a precise lesson in why 'move fast and break things' fails once the thing that breaks is someone else's infrastructure.

ToolAI Security

CISO's AI Security Readiness Assessment

This interactive assessment enables CISOs to evaluate their enterprise's AI security readiness by scoring key domains such as data governance, model integrity, and regulatory compliance. Results provide a prioritized view of strengths and gaps for targeted improvement.

ToolAI Security

Enterprise AI Security Checklist

A gated, interactive checklist designed to support enterprise AI deployment approvals, focusing on key security and compliance controls.

InsightAI Security

Prompt Injection and Jailbreak Prevention: Defense in Depth

Prompt injection is OWASP Top 10's #1 AI vulnerability. This guide presents the defense-in-depth framework used by financial services and healthcare to prevent attacks.

ComparisonAI Security

The Enterprise AI Security Buyer's Guide 2026

A comprehensive guide for CISOs and security teams evaluating AI security tools, covering threat landscape, key categories, vendor evaluation, and build vs buy.

Buyers GuideAI Security

Secure Enterprise AI Platforms with RBAC: Access Control Guide

Evaluation framework for enterprise AI platform security with role-based access control, SSO/SCIM integration, audit logging, and data segregation approaches.

Use CaseAI Security

AI-Powered Code Review & Security Scanning

Catch vulnerabilities, enforce standards, and accelerate code review with AI

ComparisonAI Security

CrowdStrike Falcon vs Darktrace: AI Cybersecurity Platform Comparison

A detailed comparison of CrowdStrike Falcon and Darktrace for CISOs and security teams, focusing on AI approaches, threat detection, pricing, and deployment.

Use CaseAI Security

AI-Powered SOC Automation & Threat Detection

Reduce alert fatigue and accelerate incident response with AI-driven security operations

Use CaseAI Security

AI for Cloud Security Posture Management

Continuously monitor and remediate cloud misconfigurations at scale

InsightAI Security

Enterprise AI Security: The Complete 2026 Guide

Explore the complete 2026 guide to enterprise AI security, covering threat vectors, governance, vendor evaluation, and AI security tools for CISOs.