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Security and vulnerability triage with decision models

Triaging security findings, vulnerable code, supply-chain risk and alerts by severity before a human or a larger model looks.

34 public projects · page 1 of 2

  • Go CLI for managing WordPress sites at scale, with typesafe commands that ask Jev questions and a scan --triage that ranks malware findings.

    ProjectproductionGo
  • Cisco's security scanner for agent skills, with a System One analyzer as an advisory tier that cannot emit findings or change severity.

    Agent skillproductionPython
  • Collection of production-shaped Python harnesses implementing most of TypeSafe's listed Jev decisions with confidence-gated logic.

    ProjectbetaPython
  • Semantic grep that asks Jev a yes/no about every function for questions no regex can express, with cost reporting.

    Projectbeta
  • Rust CLI that classifies Git commit diffs with Jev into bug fixes, security fixes with CWEs, and change types.

    CLIbetaRust
  • CLI that scans source, build and CI files with Jev for hidden, deceptive or data-stealing behavior before you run unfamiliar code.

    CLIbetaTypeScript
  • Unix-style tools where Jev learns a repo's decision norms and judges each node of a code lead as a bug, lead or clean.

    ProjectbetaJavaScript
  • Scripts where Jev selects CVSS metric values from a vulnerability description and code computes v3.0, v3.1 or v4.0 scores.

    ProjectbetaPython
  • Reviews agent skills, MCP configs and source with local static checks plus Jev before install, reporting evidence, risk and coverage gaps.

    MCP serverbetaPython
  • Passive Chrome extension that inventories a site's browser-visible attack surface and uses local Laya or Jev to prioritise findings.

    ServicebetaTypeScript
  • Rust code and security reviewer that asks Jev staged questions about diffs and posts findings with severity and owner routing.

    ProjectbetaRust
  • Semantic code linter that reads each method with its callers and callees and asks decision models about defects, kind, line and severity.

    CLIbetaTypeScript
  • Zero-dependency HTTP traffic and bot defense gate that can escalate requests to Jev for five typed risk questions.

    ProjectbetaTypeScript, Python
  • Unix filter for security alert triage: JSONL alerts in, Jev answers five typed questions, code routes each alert.

    ProjectbetaRust
  • Hackathon agent monitor that scores chains of sandboxed agent actions with Jev and escalates through a fixed L1-L5 containment ladder.

    AppprototypePython
  • Windows antivirus and EDR prototype that extracts file, process and URL features and asks Jev for verdicts, severity and indicators.

    ProjectprototypePython
  • Event-stream layer labelling signups, logins and checkouts as human, AI agent, crawler or bot, with a bad-intent probability.

    AppprototypeJavaScript
  • Staged code-review workflow for JS/TS where Jev screens risk, picks evidence, classifies mechanism, scores severity and routes reviewers.

    AppprototypeTypeScript
  • Gallery of small Python demos where Jev answers typed questions on realistic state and explicit policy decides the action or fallback.

    AppprototypePython
  • Proof-of-concept scanner that asks Jev hundreds of bug questions per Solidity file and writes a heat map of likely vulnerabilities.

    ProjectprototypePython
  • Offensive-security triage agent giving typed judgments on exploitability, impact and next attack path, gated by validators.

    ProjectprototypePython
  • Reference Telltale analyzer extension that asks Jev typed questions from configurable guard packs about coding-agent actions.

    PluginprototypeRust
  • Recorded benchmark of Jev versus two frontier LLMs on 100 synthetic security-triage cases, with a static dashboard.

    AppresearchTypeScript
  • Pre-install npm security gate where TypeSafe System One judges lifecycle scripts for intent, threat, secret access and remote execution.

    HookbetaJavaScript
  • Incident-scoping tool that starts from one malicious process and asks Jev which linked telemetry belongs to the same incident.

    Demoprototype
  • Fingerprints a target, has Jev score every Nuclei template 0-4 for relevance, then runs all templates highest-relevance first.

    DemoprototypePython
  • Intrusion detection where Jev sees one network flow and five labelled examples and returns attack yes/no and category.

    BenchmarkresearchPython
  • Blind security benchmarks for Jev on public corpora: prompt-injection detection (96.5% with context) and vulnerable-code detection.

    BenchmarkresearchGo
  • Library of 389 papers, projects and documents on Jev's foundations, trustworthiness and security uses, with a daily papers feed.

    Articleproduction
  • Website for 'Jev IDS', an intrusion-detection concept: one network flow, one request, one verdict.

    App

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