Skip to content

Jev directory

Jevline

Incident-response tool that starts from one confirmed-malicious process and asks Jev about every process, account, host, address and domain the telemetry links to it, growing the incident round by round into a timeline and evidence table.
Stars
40
Language
TypeScript
License
MIT
Reading time
3 min
Published by
Community
Author
tsale
Last verified
Oct 2026

Highlights

  • Starts from one confirmed-malicious process, address, account or host and follows telemetry links outward round by round.
  • Between processes it follows children, code injection, dropped-then-run files and persistence; to the environment, network contacts, logons and web requests.
  • On 1,015,959 records (2.3 GB) it found 40 of 41 attack-chain processes in 21 s for $0.11, with one wrong decision at link threshold 0.8.
  • In Jev's place, GLM 5.3 Flash took 32.6 min, cost $1.06 and made 8 wrong decisions versus 1; Jev answered in 0.08 s median per question.
  • The README calls it experimental: a Jev score measures relatedness to the incident, not maliciousness, so results need analyst review.

Watch out

README reviewed 2026-10-17; the excerpt is truncated inside the model comparison and does not show the command-line or install sections, so the CLI syntax and prerequisites could not be verified; the project labels itself experimental.

Questions about this entry

Short answers drawn from the linked project or page.

Reactions & coverage

Posts, threads, and videos about this entry from around the web.

YouTube: Kubernetes admission control with a decision model, fail-closed.

Hacker News: SafeDep Gryph plus Jev checks for compromised coding-agent behavior.

2 pointsDetecting Compromised AI Coding Agents with Jev and GryphRead the thread on Hacker News

X: Jev and Laya on security queries

X: Testing Jev for prompt injection

From the Jev guides

Original write-ups on what this entry is for.

From the Jev AI model community

Posts from builders shipping with Jev right now.

Follow @typesafeai