Abstract Intel Gallery vs Sesame IT HOSHI: Side-by-Side Comparison (2026)

Abstract Intel Gallery

Mid-market and enterprise SOCs drowning in alert noise will find Abstract Intel Gallery's strength in real-time IOC correlation, which cuts through the static by instantly matching events against known threat actors and infrastructure. The platform's data fabric architecture and support for multiple threat intelligence feeds, including in-house uploads and ISAC integration, means your analysts spend less time manual hunting and more time on actual incidents. Skip this if your team needs post-incident forensics or recovery guidance; Abstract Intel Gallery is built for detection and attribution, not remediation workflow.

Sesame IT HOSHI

Mid-market and enterprise security teams that struggle converting threat intelligence into actionable detection rules will benefit most from Sesame IT HOSHI, which automates that translation and feeds industry-specific attack scenarios directly into Jizô AI's detection engine. The daily-updated use case library means your detection coverage stays current without forcing analysts to manually build rules from intelligence reports. Not ideal for organizations seeking a standalone threat intelligence platform; HOSHI is purpose-built as a detection rule factory for teams already committed to the Jizô AI ecosystem.