
AI agent governance platform detecting prompt injection, PII, and credential threats.
AI agent governance platform detecting prompt injection, PII, and credential threats.
Polaxis is an AI agent governance platform with a detection engine designed to identify threats in LLM and agentic AI environments. This page presents its publicly available detection benchmark results. The detection engine uses a two-layer approach: - A regex layer for fast, deterministic pattern matching (sub-millisecond latency, 0% false positives) - An LLM layer using GPT-4o-mini for semantic analysis (p50 latency of 3.3s, 4% false positive rate routed to human review, not auto-block) The benchmark tests 459 adversarial payloads across 5 threat categories and 3 difficulty tiers (easy, medium, hard): Threat categories covered: - Prompt Injection: instruction override, jailbreak, delimiter injection, steganography - Credentials: API keys, tokens, private keys, 25+ vendor patterns - PII Exfiltration: SSN, credit card, phone, indirect DOB, synthetic label bypass - Memory Poisoning: RAG injection, MINJA, vector store, EchoLeak patterns - Authority Claims: admin impersonation, IAM/OIDC, ticket bypass, SOP abuse Hard tier specifically covers encoding bypasses, multilingual injections, steganographic payloads, indirect RAG injection, MINJA memory poisoning, and social engineering chains. Benchmark results (regex + LLM combined): - Prompt Injection: 100% - Credentials: 100% - PII Exfiltration: 97.8% - Memory Poisoning: 98.9% - Authority Claims: 100% Pricing includes a free tier (1 agent, 10,000 governed tool calls/month, no credit card required). The benchmark methodology and SDK are open source, with an MCP server available on GitHub.
Common questions about Polaxis Detection Benchmark including features, pricing, alternatives, and user reviews.
Polaxis Detection Benchmark is AI agent governance platform detecting prompt injection, PII, and credential threats, developed by Polaxis. It is a Security for AI solution designed to help security teams with Agentic AI Security, LLM Guardrails, Prompt Injection.
Polaxis Detection Benchmark offers the following core capabilities:
Polaxis Detection Benchmark integrates natively with GitHub (open-source SDK and MCP server). Integration support lets security teams connect Polaxis Detection Benchmark to existing SIEM, ticketing, identity, and notification systems without custom development.
Polaxis Detection Benchmark is built for security teams handling Agentic AI Security, LLM Guardrails, Prompt Injection, LLM Security. It supports workflows including two-layer detection engine combining regex and llm (gpt-4o-mini) analysis, prompt injection detection covering jailbreaks, delimiter injection, and steganography, credential and api key detection with 25+ vendor patterns. Teams typically adopt Polaxis Detection Benchmark when they need to security for ai capabilities integrated into their existing stack. Explore similar tools at https://cybersectools.com/alternatives/polaxis-detection-benchmark
Polaxis Detection Benchmark is a free Security for AI tool. This makes it accessible for organizations of all sizes, from startups to enterprises. Visit https://polaxis.io/benchmark for download and installation instructions.
Popular alternatives to Polaxis Detection Benchmark include:
Compare all Polaxis Detection Benchmark alternatives at https://cybersectools.com/alternatives/polaxis-detection-benchmark
Polaxis Detection Benchmark is for security teams and organizations that need Agentic AI Security, LLM Guardrails, Prompt Injection, LLM Security, RAG Security. It's particularly suitable for small to medium-sized teams looking for cost-effective solutions. Other Security for AI tools can be found at https://cybersectools.com/categories/ai-security
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Runtime control plane that mediates & governs AI agent actions before execution.