similar sites

‹ profile Tools

Sites similar to runesec.dev

Rune — Runtime Security for AI Agents · ranked by shared content topics & relevance

hellosilmaril.com

Silmaril | Runtime Security for AI

2 shared topicsinformation-and-network-security

Moltwire - Security & Observability for AI Agents

2 shared topicsinformation-and-network-security

Oathe | Behavioral Security for AI Agents

2 shared topicsinformation-and-network-security

PledgeSec — Behavioral Security for AI Agents

2 shared topicsinformation-and-network-security

oakallow — Security Infrastructure for AI Agents

2 shared topicsartificial-intelligence

ZeroShot — Offensive Security Testing for AI Agents

2 shared topicsinformation-and-network-security

SupraWall | Enterprise AI Agent Security & Runtime Guardrails

2 shared topicsinformation-and-network-security

Anomity | Agentic Endpoint Security for AI Agents & MCPs

2 shared topicsinformation-and-network-security

etxcyberagentic.com

ETX CyberOps | AI Agents for Security Firms

2 shared topicsinformation-and-network-security

etxcyberagent.com

ETX CyberOps | AI Agents for Security Firms

2 shared topicsinformation-and-network-security

ShieldBot — The AI Security Runtime

2 shared topicsinformation-and-network-security

riaisecurity.com

Riai Security — Context-Based Authorization for AI Agents

2 shared topicsinformation-and-network-security

shipsafecli.com

Ship Safe — AI Agent Security Scanner for Developers

2 shared topicsinformation-and-network-security

Polis - Secure Workspace for AI Agents

2 shared topicsinformation-and-network-security

Isonapse — The Trust Layer for AI Agents

2 shared topicsinformation-and-network-security

SuperAlign — AI Security for the Enterprise

2 shared topicsinformation-and-network-security

Calseta — The data layer for your security agents

2 shared topicsinformation-and-network-security

MoltJail — A Jail for AI Agents

2 shared topicsinformation-and-network-security

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.