Microsoft wants AI to catch hackers before they even attack
Microsoft introduced Project Perception, an AI-driven security system designed to operate at machine speed against modern threats. The platform employs three types of AI agents—red, blue, and green—to locate vulnerabilities, assess their significance, and remediate them, while keeping a human in the final decision loop. Microsoft claims its extensive visibility across identities, devices, applications, data, and cloud environments, combined with a multi‑model AI approach, gives it an advantage over traditional security tools.
- ▪AI can now generate exploits and conduct attacks faster than conventional security tools can respond.
- ▪Project Perception uses red team agents to hunt for weak spots before attackers exploit them.
- ▪Blue team agents evaluate the discovered weaknesses to determine their risk level.
- ▪Green team agents automatically remediate confirmed vulnerabilities, with a human overseeing final actions.
Digital Trends files mainly under tech. We currently carry 521 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
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 | Digital Trends |
| Canonical URL | https://www.digitaltrends.com/cool-tech/microsoft-wants-ai-to-catch-hackers-before-they-even-attack/ |
| Publication time | Tue, 28 Jul 2026 08:06:21 +0000 |
| Retrieval time | 2026-07-28T08:09:16.226Z |
| Last seen | 2026-07-28T08:09:16.226Z |
| 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 | dMTun4N4Wuz8 · 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
With AI now capable of writing exploits and running attacks at machine speed, the security tools built for a slower, human-paced world are starting to show their age. Microsoft thinks it has the answer, and it’s calling it Project Perception. So what exactly is Project Perception? At its core, Project Perception is an AI agentic security system built to think and react as fast as the threats it’s designed to stop. Instead of just piling on more alerts for security teams to sift through, it uses AI to continuously watch, reason, and act across an organization’s entire digital footprint. Microsoft The system relies on three types of AI agents working together. Red team agents hunt for weak spots before attackers can find them.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Digital Trends.
Discussion
0 commentsMore from Digital Trends
