Summary
According to a post on X by @ilblackdragon, NEAR co-founder Illia Polosukhin announced the NEAR AI Cybersecurity program. The program offers uncensored models for security scanning. He says code, prompts and findings stay private, with everything running in secure enclaves and encrypted end to end. The announcement comes from a social media post, so details beyond what it states are not covered here.
AI-assisted summary based on the listed source.
What happened
NEAR co-founder Illia Polosukhin announced the NEAR AI Cybersecurity program, which offers uncensored models for security scanning. He says code, prompts and findings stay private, with everything running in secure enclaves and encrypted end to end. Original post on X Section: Engineering Challenges & Safety
Why it matters
Security teams and developers who want automated code scanning may find a program that keeps code, prompts and findings private relevant to their work. The privacy design relies on secure enclaves and end-to-end encryption, which are claims made in the announcement and have not been independently checked here. Watch for technical documentation, access terms and any independent details on how the enclaves and encryption work.
Signal Intelligence
Signal Strength 88%
Technical label WATCH
Public Interest 28
Category DEVELOPING
Reader Depth PRACTICAL
Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.
Public Interest components
Recognizable Entity Score 0
Practical Impact Score 0
Novelty Interest Score 94
Consequence Score 34
Curiosity Score 0
Shareability Score 45
Why this is here
VQV surfaced this signal because it is recent, relevant to AI Search, connected to Scobleizer News Pulse (X).