Find the break before your users do.

Pre-launch testing guides for chatbots, RAG apps, agents, and release decisions.

• Will AI Agents Hack Everything? Public 2025 threat reporting shows agents used for recon, malware mutation, and tool abuse. What changed when models got hands, why refusals are not enough, and how Agnostics release testing catches agent failures before launch.
• LLM Red Teaming: Find Vulnerabilities Before Launch What LLM red teaming is, why quantitative pre-deploy testing matters, model vs application threats, black box testing, and how Agnostics turns findings into a Release Gate decision.
• AI Agent Security: Test Tool-Using Workflows Before Launch What AI agents are, how agent hijacking and excessive agency break production, and how Agnostics tests unsafe tool actions and prompt injection on configured targets with a Release Gate decision.
• Agent Red Teaming Strategy: Recon, Planning, and Release Testing Why chatbot attack playbooks fail on agents, recon and tool enumeration, business-impact prioritization, multi-turn memory testing, mapping Agnostics attack packs to agent surfaces, and Release Gate for action-taking products.
• Indirect Prompt Injection in Web-Browsing Agents Web fetch attack flows, hidden payloads in HTML, semantic embedding, data exfil via rendered URLs, the lethal trifecta, Agnostics prompt injection and sensitive disclosure packs, Release Gate, and safe staging tests.
• Prompt Injection: The Complete Pre-Launch Testing Guide Direct vs indirect prompt injection, obfuscation, data exfiltration, tool compromise, prevention layers, and why no single fix is enough. How Agnostics tests injection on configured targets with a Release Gate.
• RAG Data Poisoning: How to Test Your Knowledge Base Before Launch What RAG data poisoning is, how instruction injection and retrieval manipulation break doc-backed apps, why mitigations need testing, and how Agnostics runs retrieval drift and injection packs on poisoned fixtures.
• How to Secure RAG Applications Before Production RAG components, auth at retrieval, prompt and context injection, poisoning, exfiltration, context flooding, controls checklist, and how Agnostics attack packs plus Release Gate verify RAG security before launch.
• Jailbreaking LLMs: What to Test Before You Ship What LLM jailbreaks are, how social engineering and obfuscation break scope, why happy-path evals miss them, and how Agnostics boundary-bypass testing feeds a Release Gate decision.
• MCP Security for AI Agents: What to Test Before You Connect Tools MCP host, client, and server roles, tool exposure risks, transport security, least privilege, prompt injection via tool outputs, Agnostics testing for tool-using agents, and Release Gate before production connections.
• Preventing Bias and Toxicity in AI Apps Before Launch Bias types in customer-facing LLM apps, why harmful outputs block launch, detection beyond keyword filters, boundary bypass red teaming, guardrail limits, and how Agnostics Release Gate turns findings into a ship or fix call.
• LLM Rubric Grading for Release Testing: Judge Outputs Before You Ship Limits of string matching for AI outputs, LLM-as-judge for nuanced criteria, time-sensitive fact checking, safety vs security rubrics, mapping grades to Release Gate, Agnostics findings with evidence, and when to retest.
• AI Safety vs AI Security: What LLM App Teams Must Know The difference between AI safety and AI security for LLM apps, why both matter at launch, and how Agnostics attack packs and Release Gate help you test harmful outputs and stack failures before ship.
• AI Red Teaming for First-Timers: From Zero to Release Gate A practical intro to AI red teaming for LLM app teams: maturity levels, culture, your first Agnostics scan, common mistakes, and how findings feed a Release Gate before launch.
• Evaluating RAG Pipelines: Retrieval, Generation, and Release Testing How to evaluate RAG in two steps (retrieval then generation), why happy-path evals miss failures, attack packs for drift and injection, and Release Gate decisions after corpus changes.
• How to Measure and Prevent LLM Hallucinations Before You Ship Define hallucination for launch decisions, test wrong facts and real-time claims, limits of prompt tuning, RAG grounding, refusal behavior, hallucination pressure packs, and honest Release Gate calls.
• System Prompt Hardening: Test Before You Trust Your Instructions Why system prompt hardening matters for LLM apps, layered techniques that help, limits of prompt-only defense, and how to verify improvements with Agnostics attack packs, retests, and Release Gate.
• Building a Release Gate for LLM Apps How to test LLM apps for prompt injection, tool abuse, and the lethal trifecta before production. A practical guide to runtime security scanning and Release Gate decisions for chatbots, RAG apps, and agents.
• Prompt Injection in LLM Apps: Find It Before Launch What prompt injection is, how it shows up in chatbots, RAG apps, and agents, and how Agnostics runs the prompt injection attack pack on your target with reproducible findings and a Release Gate.
• Jailbreak Testing for LLM Apps Before Launch What LLM jailbreaks are, how they differ from prompt injection, and how Agnostics uses boundary bypass and prompt injection attack packs to pressure-test refusals, personas, and policies on your target.
• Sensitive-Data Disclosure in LLM Apps: Test Before You Ship How sensitive-data disclosure happens in chatbots, RAG apps, and agents, and how Agnostics uses sensitive-context-exposure and hidden-instruction-extraction packs to find leaks before launch.
• How to Test a Chatbot for Prompt Injection Before Launch Test customer-facing chatbots for prompt injection and instruction hijacking before launch. A practical pre-launch checklist for teams shipping AI support bots.
• RAG App Security Testing: What to Run Before Production Pressure-test RAG apps for retrieval drift, poisoned context, and instruction conflicts before launch. A practical pre-production security testing guide.
• How to test AI agents that can take real actions Agents that can refund, update, or export data need a different pre-launch test plan than chat-only bots. Here is how to pressure-test tool boundaries, confirmation flows, and permission abuse before users find the gap.
• What an AI release gate is and how to decide ship vs fix An AI release gate turns scan findings into a clear ship, monitor, fix, or blocked call. Here is how to read it, run the decision meeting, and know when launch readiness is real.
• How to retest AI features after fixing security findings Merged a security fix is not proof the break is gone. Learn how to retest AI features, verify prompt injection fixes, and update your Release Gate with evidence instead of hope.