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<rss version="2.0"><channel><title>AI Red Teaming Services: Guides</title><link>https://airedteamingservices.com/</link><description>Find how your AI application can leak data, cross access boundaries or take actions it should not. Assessments of LLM apps, RAG systems, agents and MCP tools.</description><language>en</language>
<item><title>Agent memory poisoning: how persistent AI memory gets attacked</title><link>https://airedteamingservices.com/guides/agent-memory-poisoning/</link><guid>https://airedteamingservices.com/guides/agent-memory-poisoning/</guid><pubDate>Mon, 09 Nov 2026 09:00:00 GMT</pubDate><description>Agent memory poisoning plants hostile text in an AI agent's long-term memory so it shapes later sessions. Two documented cases, an 8-step test plan and fixes.</description></item>
<item><title>AI agent permissions: how to scope tools and credentials</title><link>https://airedteamingservices.com/guides/ai-agent-permissions/</link><guid>https://airedteamingservices.com/guides/ai-agent-permissions/</guid><pubDate>Mon, 09 Nov 2026 09:00:00 GMT</pubDate><description>AI agent permissions: give each tool one task, one scoped credential and an approval rule. Includes a copyable permission matrix and a 7-step test plan.</description></item>
<item><title>AI red teaming tools: open-source scanners and frameworks compared</title><link>https://airedteamingservices.com/guides/ai-red-teaming-tools/</link><guid>https://airedteamingservices.com/guides/ai-red-teaming-tools/</guid><pubDate>Mon, 09 Nov 2026 09:00:00 GMT</pubDate><description>AI red teaming tools checked on their official repos on 9 Nov 2026: garak, PyRIT, promptfoo, DeepTeam, Giskard and Inspect, with license, use and limits.</description></item>
<item><title>AI red teaming vs penetration testing: differences and when you need each</title><link>https://airedteamingservices.com/guides/ai-red-teaming-vs-penetration-testing/</link><guid>https://airedteamingservices.com/guides/ai-red-teaming-vs-penetration-testing/</guid><pubDate>Mon, 09 Nov 2026 09:00:00 GMT</pubDate><description>AI red teaming vs pentesting: compare target, method, proof and cost drivers, use the decision table to pick, and see one finding that needs both.</description></item>
<item><title>Data exfiltration through markdown images in LLM apps</title><link>https://airedteamingservices.com/guides/data-exfiltration-through-markdown-images/</link><guid>https://airedteamingservices.com/guides/data-exfiltration-through-markdown-images/</guid><pubDate>Mon, 09 Nov 2026 09:00:00 GMT</pubDate><description>LLM data exfiltration via markdown images: how a rendered image carries chat data out, five documented cases from 2023 to 2025, and the fixes that close it.</description></item>
<item><title>EU AI Act red teaming: what the Act says about adversarial testing</title><link>https://airedteamingservices.com/guides/eu-ai-act-red-teaming/</link><guid>https://airedteamingservices.com/guides/eu-ai-act-red-teaming/</guid><pubDate>Mon, 09 Nov 2026 09:00:00 GMT</pubDate><description>EU AI Act red teaming: which articles cover adversarial testing (Art. 55, 15, 9), who each binds, and the application dates after the 2026 Digital Omnibus.</description></item>
<item><title>Excessive agency in LLM apps: causes, tests and fixes</title><link>https://airedteamingservices.com/guides/excessive-agency/</link><guid>https://airedteamingservices.com/guides/excessive-agency/</guid><pubDate>Mon, 09 Nov 2026 09:00:00 GMT</pubDate><description>Excessive agency lets an LLM app take damaging actions on bad model output. Covers the three root causes, a tool review table, a test method and OWASP's fixes.</description></item>
<item><title>How to scope an AI red team engagement: questions, access and stop conditions</title><link>https://airedteamingservices.com/guides/how-to-scope-an-ai-red-team/</link><guid>https://airedteamingservices.com/guides/how-to-scope-an-ai-red-team/</guid><pubDate>Mon, 09 Nov 2026 09:00:00 GMT</pubDate><description>How to scope an AI red team engagement: eight questions on purpose, users, models, data, tools and environments, plus test data, rules and stop conditions.</description></item>
<item><title>Human approval bypass in AI agents: how confirmations fail</title><link>https://airedteamingservices.com/guides/human-approval-bypass/</link><guid>https://airedteamingservices.com/guides/human-approval-bypass/</guid><pubDate>Mon, 09 Nov 2026 09:00:00 GMT</pubDate><description>Human approval bypass in AI agents: why confirmations fail (approval fatigue, vague prompts, trigger words, Always Allow) and a 14-row approval UX test table.</description></item>
<item><title>Indirect prompt injection: sources, real cases and how to test for it</title><link>https://airedteamingservices.com/guides/indirect-prompt-injection/</link><guid>https://airedteamingservices.com/guides/indirect-prompt-injection/</guid><pubDate>Mon, 09 Nov 2026 09:00:00 GMT</pubDate><description>Indirect prompt injection hides instructions in content an LLM reads. A source inventory, real cases (Slack AI, GitHub MCP, EchoLeak) and a test plan.</description></item>
<item><title>Jailbreak vs prompt injection: the difference and why it matters</title><link>https://airedteamingservices.com/guides/jailbreak-vs-prompt-injection/</link><guid>https://airedteamingservices.com/guides/jailbreak-vs-prompt-injection/</guid><pubDate>Mon, 09 Nov 2026 09:00:00 GMT</pubDate><description>Jailbreak vs prompt injection: a jailbreak attacks a model's safety training, prompt injection attacks the app around it. Comparison table, tests and defenses.</description></item>
<item><title>MCP security risks: tool poisoning, confused deputy and token passthrough</title><link>https://airedteamingservices.com/guides/mcp-security-risks/</link><guid>https://airedteamingservices.com/guides/mcp-security-risks/</guid><pubDate>Mon, 09 Nov 2026 09:00:00 GMT</pubDate><description>MCP security risks and what the official spec says about each: tool poisoning, confused deputy, token passthrough. Includes a 22-point server review checklist.</description></item>
<item><title>MITRE ATLAS: the attack matrix for AI systems, with technique IDs</title><link>https://airedteamingservices.com/guides/mitre-atlas/</link><guid>https://airedteamingservices.com/guides/mitre-atlas/</guid><pubDate>Mon, 09 Nov 2026 09:00:00 GMT</pubDate><description>MITRE ATLAS explained: how it differs from ATT&amp;CK and the OWASP LLM Top 10, with a table of LLM, RAG and agent technique IDs checked in release v2026.10.</description></item>
<item><title>NIST AI RMF and red teaming: what AI 100-1 and AI 600-1 say</title><link>https://airedteamingservices.com/guides/nist-ai-rmf-and-red-teaming/</link><guid>https://airedteamingservices.com/guides/nist-ai-rmf-and-red-teaming/</guid><pubDate>Mon, 09 Nov 2026 09:00:00 GMT</pubDate><description>NIST AI RMF red teaming: what AI RMF 1.0 and the Generative AI Profile (AI 600-1) say, with suggested action IDs mapped to Govern, Map, Measure and Manage.</description></item>
<item><title>OWASP Top 10 for Agentic Applications: ASI01 to ASI10 and how to test them</title><link>https://airedteamingservices.com/guides/owasp-agentic-ai-threats/</link><guid>https://airedteamingservices.com/guides/owasp-agentic-ai-threats/</guid><pubDate>Mon, 09 Nov 2026 09:00:00 GMT</pubDate><description>OWASP agentic AI threats: the Top 10 for Agentic Applications (ASI01 to ASI10) with each ID, the earlier OWASP threat model, and a test question per risk.</description></item>
<item><title>OWASP Top 10 for LLM Applications: the 2026 list, 2025 mapping and how to test each risk</title><link>https://airedteamingservices.com/guides/owasp-top-10-for-llm-applications/</link><guid>https://airedteamingservices.com/guides/owasp-top-10-for-llm-applications/</guid><pubDate>Mon, 09 Nov 2026 09:00:00 GMT</pubDate><description>OWASP Top 10 for LLM Applications: exact IDs and names for the 2026 and 2025 lists, a 2025-to-2026 mapping, and a tester's check for each risk.</description></item>
<item><title>Prompt injection: what it is, how testers find it and how to reduce it</title><link>https://airedteamingservices.com/guides/prompt-injection/</link><guid>https://airedteamingservices.com/guides/prompt-injection/</guid><pubDate>Mon, 09 Nov 2026 09:00:00 GMT</pubDate><description>Prompt injection makes an LLM app follow instructions that should be data. See direct and indirect types, 10 test cases with evidence to capture, and fixes.</description></item>
<item><title>RAG security: how to test retrieval authorization and poisoning</title><link>https://airedteamingservices.com/guides/rag-security/</link><guid>https://airedteamingservices.com/guides/rag-security/</guid><pubDate>Mon, 09 Nov 2026 09:00:00 GMT</pubDate><description>RAG security means the retriever enforces who may read each document. See the main risks and a 12-row, two-tenant test matrix for retrieval access.</description></item>
<item><title>System prompt leakage: why secrets in prompts fail and how to test for it</title><link>https://airedteamingservices.com/guides/system-prompt-leakage/</link><guid>https://airedteamingservices.com/guides/system-prompt-leakage/</guid><pubDate>Mon, 09 Nov 2026 09:00:00 GMT</pubDate><description>System prompt leakage exposes hidden instructions, tool schemas and secrets. Read the OWASP LLM07:2025 and LLM08:2026 wording, an 8-row test table and fixes.</description></item>
<item><title>Testing customer support chatbots: security and policy test plan</title><link>https://airedteamingservices.com/guides/testing-customer-support-chatbots/</link><guid>https://airedteamingservices.com/guides/testing-customer-support-chatbots/</guid><pubDate>Mon, 09 Nov 2026 09:00:00 GMT</pubDate><description>Chatbot security testing for customer support bots: 24 test cases with pass conditions for refund promises (Moffatt v. Air Canada), leaks, handoff and tools.</description></item>
<item><title>What is AI red teaming? Definition, scope and what testers deliver</title><link>https://airedteamingservices.com/guides/what-is-ai-red-teaming/</link><guid>https://airedteamingservices.com/guides/what-is-ai-red-teaming/</guid><pubDate>Mon, 09 Nov 2026 09:00:00 GMT</pubDate><description>What is AI red teaming? The NIST definition, a six-layer scope map for LLM apps and agents, a sample test, and how it differs from safety evals and pentests.</description></item>
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