Scan for Good: Wiz and DeepMind use AI to help protect critical infrastructure
As offensive AI capabilities improve, empowering defenders has become a global imperative. The damage cyberattacks can inflict upon under-resourced organizations and the communities that depend on them is an issue that affects us all. It is in this spirit that we are launching Scan for Good, an initiative that uses AI - coupled with human security researchers - to uncover public exposures and complex attack paths across public services, critical infrastructure, and nonprofits.
- ▪As offensive AI capabilities improve, empowering defenders has become a global imperative.
- ▪The damage cyberattacks can inflict upon under-resourced organizations and the communities that depend on them is an issue that affects us all.
- ▪It is in this spirit that we are launching Scan for Good, an initiative that uses AI - coupled with human security researchers - to uncover public exposures and complex attack paths across public services, critical infrastructure, and nonpr
Hacker News (AI / LLM) files mainly under ai. We currently carry 6,288 of its stories.
Story provenance
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Story provenance
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 publisher | wiz.io |
| Canonical URL | https://www.wiz.io/blog/scan-for-good-critical-ai-exposures |
| Publication time | Thu, 24 Sep 2026 13:45:17 +0000 |
| Retrieval time | 2026-09-24T13:55:27.643Z |
| Last seen | 2026-09-24T13:55:27.643Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | R0FSdF4bMrdj · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
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
As offensive AI capabilities improve, empowering defenders has become a global imperative. The damage cyberattacks can inflict upon under-resourced organizations and the communities that depend on them is an issue that affects us all. It is in this spirit that we are launching Scan for Good, an initiative that uses AI - coupled with human security researchers - to uncover public exposures and complex attack paths across public services, critical infrastructure, and nonprofits. Scan for Good helps defenders secure vital systems before malicious actors can exploit them. Early results prove its impact. Our efforts spent validating findings and collaborating with the affected organizations on remediation have uncovered hundreds of public exposures that were fixed as a result of Scan for Good.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at wiz.io.
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