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New service offers 100 adversarial tests for AI agents

By PulseAugur Editorial · [1 sources] ·

Adversarial Feed is a new monthly service offering 100 adversarial tests designed to probe AI agents for behavioral failures beyond simple text-based evaluations. The tests focus on critical areas like indirect injection, tool misuse, and multi-turn interactions, aiming to uncover vulnerabilities that could lead to financial loss or data exfiltration. Developed by Adam DiStefano, the service provides a Python-based runner for testing and is available via subscription, with a free sample of 10 tests offered. AI

IMPACT Provides a structured way to test AI agent security and robustness against sophisticated attacks.

RANK_REASON This is a product launch for a testing tool, not a frontier AI release or significant industry event.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New service offers 100 adversarial tests for AI agents

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44 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
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Tool
This is a product launch for a testing tool, not a frontier AI release or significant industry event.
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Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
product, safety
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High
Clearly on-topic for AI-industry coverage.
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Breaking (< 6h)
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Full methodology in our editorial standards.

COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Adam DiStefano ·

    Your Agent Passed Its Evals. Now Test What It Does: 100 Adversarial Tests, 3 Worked Examples

    <p>Most agent testing stops at the model's words. You run a jailbreak suite, the model refuses politely, the dashboard goes green, and everyone moves on. Then the agent ships with a refund tool, a file tool, and read access to whatever the user pastes in, and none of that surface…

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