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AegisAI

Evolving XDR Intelligence you own & control. Zero Cloud.

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- Two Llama models run on the endpoint, alongside multiple detection engines for layered protection. - Train the AI on your own environment. The built-in LoRA training page makes that easy. - Add your own Sigma, YARA and signature rules next to AegisAI's to catch what generic rules miss. No more one-size-fits-all. - A plain-English storyline for every incident, fully air-gapped. - Fully customizable, built on open standards.

PH · launched Nov 14, 2026 · 1 upvote (top 65%) · 0 views

Niche: machine learning model training platforms · 29 launches, 2 in the last 7 days · Explore this niche →

Category and tags

  • Security
  • Observability & eval
  • B2B
  • AI-native
  • Commercial product
  • Artificial Intelligence
  • Tech
  • Security

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Could you build this?

No A credible XDR needs kernel-level or OS-level endpoint agents, tuned detection engines, threat-intelligence feeds, and on-device model training, which requires deep security and ML expertise.

What it would actually take: Building a real version means a cross-platform endpoint agent (kernel drivers or EDR hooks per OS), telemetry pipelines, and detection engines that combine Sigma/YARA with ML scoring. Local LLM fine-tuning (LoRA) also needs labeled attack data and ML engineers. Security researchers and kernel developers are required, along with substantial QA against real malware.

Competitors

Other products that read as similar to this one : 52 launches clear the similarity bar, closest 8 shown.

Attention rank: #26 of 53 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 376 days after the earliest competitor.

The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.