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ZeroLeaks: Automated red teaming for AI agents

ZeroLeaks· ·2 min read · 0 reactions · 0 comments · 8 views
ZeroLeaks: Automated red teaming for AI agents
TL;DR · WeSearch summary

Our red team of specialized agents plans, executes, and validates attacks in minutes.Automated CI/CDConnect your repository to scan every pull request that changes agent behavior.

Key facts
About this source

Hacker News (AI / LLM) files mainly under ai. We currently carry 3,750 of its stories.

Original article
ZeroLeaks · ZeroLeaks
Read full at ZeroLeaks →

Story provenance

Source · retrieval · rights · ranking — open for full record
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Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.

Record

Original publisherZeroLeaks
Canonical URLhttps://zeroleaks.ai
Publication timeTue, 04 Aug 2026 09:40:20 +0000
Retrieval time2026-08-04T09:50:42.259Z
Last seen2026-08-04T09:50:42.259Z
Headline sourcePublisher (no WeSearch rewrite)
Excerpt sourcepublisher body
Excerpt methodFirst ~120 words (~800 chars) of extracted publisher body, fair-use limited.
SummaryWeSearch · cerebras-chat (WeSearch summarizer)
Summary source textcontentText
Citation coverageSummary is a WeSearch-generated derivative; primary citation is the original publisher URL.
ClustersJyEbxIPv3Id · 1 stories
Cluster logicGrouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison.
Ranking reasonStory pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking.
Publisher visitYes — open original
Substitutes article?No — link-out required for full text

Rights status (four layers)

Publisher-declared
No publisher-confirmed rights record for this source yet.
Machine-readable
No source-specific machine-readable restriction detected beyond the public feed.
WeSearch interpretation
WeSearch declared handling (basis: Derived from the published RSS/Atom feed). This is WeSearch policy, not a legal grant on the publisher's behalf.
Unknown
Retrieval and training permissions are not asserted unless the publisher confirms them.

WeSearch handling by dimension

Indexing May the item be indexed (stored, ranked, made findable)? Allowed
Snippet May a short excerpt of the publisher's text be shown? Allowed
AI summary May WeSearch generate its own short summary of the article? Limited
Retrieval / RAG May the content be exposed for third-party retrieval-augmented generation? Not asserted
Model training May the content be used to train AI models? Not asserted
Commercial reuse May the content be reused commercially? Not permitted

Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

Opening excerpt (first ~120 words) tap to expand

Continuous Red Teaming for AI AgentsContinuously test your agents, endpoints, and MCP tools for prompt injection, data leakage, and unsafe actions, then verify every fix before it ships.Try Pro free for 14 daysDocumentationTrusted by teams building with AIOpen SourceBacked by Large Scale Open Source ResearchMaintained by the team behind a 100k+ star repository cataloging real world prompt leaks and jailbreaks. Our probe library is grounded in thousands of documented vulnerabilities observed in the wild, not synthetic test cases.vulnerability-scanner.logOutputCriticalsystem_prompt = "You are a helpful assistant..." // EXPOSEDOutputCriticalapi_key = "sk-..." // LEAKEDOutputHighinstructions = "Ignore previous rules and..." // JAILBROKENOutput " " Explore the ResearchHow It WorksYour Security…

Excerpt limited to ~120 words for fair-use compliance. The full article is at ZeroLeaks.

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