Ackuity
AI-native security observability for autonomous agents — real-time threat detection and response.
What it does
An AI-native security observability platform purpose-built for autonomous agents in production. Real-time monitoring of interactions between users, agents, and backend systems. 100+ detection rules mapped to NIST and OWASP Agentic AI categories. Data masking, redaction, and RBAC enforcement. Founded by the Paladion team (acquired by Atos).
Security relevance
Goes beyond guardrails into full security observability for the agentic layer. Monitors threats in the interaction space between users ↔ agents ↔ backend systems that traditional tools are blind to. Detects injection attacks, data poisoning, agent takeover, anomalous behaviour, API attacks, and permission bypass.
When to use it
Deploy when AI agents are in production and you need security operations visibility. Enterprise platform requiring integration with agent platforms and backend systems. DataTribe Challenge finalist — validated by the cybersecurity startup ecosystem.
OWASP coverage
Risks addressed — mapped to both OWASP Top 10 standards. 5 in LLM, 3 in Agentic.
The raw record
What Yuntona stores. Single source of truth — fork it on GitHub.
name: Ackuity slug: ackuity type: Mixed category: AI Guardrails & Firewalls url: https://ackuity.ai reviewed: 2026-04 added: 2026-04 updated: 2026-04 risks: llm: [LLM01, LLM02, LLM06, LLM07, LLM08] asi: [ASI01, ASI02, ASI03] complexity: Enterprise Only pricing: — audience: Blue Team lifecycle: [monitor] tags: [Agentic, Detection, Observability, RBAC]