Polaxis Detection Benchmark
AI agent governance platform detecting prompt injection, PII, and credential threats.
Polaxis Detection Benchmark
AI agent governance platform detecting prompt injection, PII, and credential threats.
Data verified Jun 2026
ADYour product here. Reach security decision-makers.Launch a campaignPolaxis Detection Benchmark Description
Agentic AI Security
LLM Guardrails
Prompt Injection
LLM Security
RAG Security
MCP Security
GenAI Security
PII
Regex
Benchmark
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.
Polaxis Detection Benchmark FAQ
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:
1.Two-layer detection engine combining regex and LLM (GPT-4o-mini) analysis
2.Prompt injection detection covering jailbreaks, delimiter injection, and steganography
3.Credential and API key detection with 25+ vendor patterns
4.PII exfiltration detection (SSN, credit card, phone, DOB)
5.Memory poisoning detection covering RAG injection, MINJA, and EchoLeak patterns
6.Authority claims detection for admin impersonation and IAM/OIDC bypass
7.Sub-millisecond regex layer with zero false positives
8.LLM false positive routing to human review instead of automated block
9.Free tier supporting 1 agent and 10,000 governed tool calls per month
10.Open-source SDK and MCP server
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:
1.Onyx Platform - AI control plane for enterprise AI agent security, governance, and observability. (Commercial)
2.CodeIntegrity AARM Platform - Runtime control plane that mediates & governs AI agent actions before execution. (Commercial)
3.DapplePot - AI agent fleet security platform for runtime monitoring and threat detection. (Commercial)
4.General Analysis AIDR - Monitors & responds to AI agent risks at the execution layer. (Commercial)
5.Highflame Platform - AI agent security platform with guardrails, governance, and observability. (Commercial)
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
Have more questions? Browse our categories or search for specific tools.
