Actenon logo

Actenon

A security scanner and methodology for hardening AI agent frameworks against ‘consequential’ actions that can fire without approval checks. Scans file trees and configuration for a curated list of 25 risky actions (write/commit/db calls/file uploads/email), ranks false positives, and outputs a remediation strategy so teams can safely roll out agents. Delivered as self-hosted CLI and server — lightweight and policy-driven.

Reader rating

No ratings yet

Visit website

You might also like

Related tools

View all
VM0 (Zero) favicon
VM0 (Zero)
No ratings yet

Zero by VM0 is your trustworthy AI teammate that connects to 100+ tools and completes real work hands‑free — from triage queues to Slack‑first reporting, CRM updates, and research tasks. Focuses on consistent outputs, low latency runs, and defensible agent policies so you can deploy it to production without risking burn‑out or missteps. Offered as cloud‑hosted or self‑hosted.

Graphjin favicon
Graphjin
No ratings yet

A governed graph layer that turns disparate data sources (databases, APIs, codebases) into a unified, queryable graph for AI agents. Acts as a read-only MCP gateway that enforces security, provenance, and topology constraints so agents only traverse edges and nodes allowed by policy. Coffee‑script codebase; backed by GB-sized reference tests and open to integrations.

Wisp‑Science favicon
Wisp‑Science
No ratings yet

An open‑source, local‑first desktop workbench that combines MCP/plugged LLM backends with Python and R runtimes to help AI researchers and teams turn ideas into running experiments faster. Features integrated notebooks, WSL/local dev setup, GPU orchestration, and SSH/cloud execution with secure enclaves — all in an extensible electron app. Product of an academic research lab.