SplxAI Is Now Available In The Microsoft Azure Marketplace

The SplxAI Platform delivers fully automated red teaming, intelligent risk analysis, and system prompt hardening for LLM-powered apps and agents. Built for security teams operating at enterprise scale, SplxAI enables continuous security assessments throughout the AI development lifecycle – from development to deployment – to proactively identify and remediate risks across security, safety, accuracy, and reliability.

Key capabilities of the SplxAI Platform include:

Probe

Our flagship autonomous red teaming engine Probe delivers the most comprehensive simulation of advanced attack scenarios. It executes thousands of advanced exploit strategies to uncover vulnerabilities such as jailbreaks, prompt injections, sensitive data exposure, hallucinations, RAG poisoning, and more – enabling practitioners to expose weaknesses before they can cause real damage.

Remediation

Our platform features the first automated system prompt hardening tool, which dynamically generates more secure prompt configurations based on discovered vulnerabilities. This instantly reduces the attack surface – minimizing the attack surface by up to 90% – without compromising functionality or user experience.

Compliance & Governance

All risks identified in tested AI systems are mapped to leading AI governance frameworks and regulatory standards, including OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, the EU AI Act, and others. This ensures that organizations can streamline their AI policy alignment, compliance reporting, and governance programs with minimal friction.

Monitoring

Our LLM Monitoring module provides near real-time visibility into adversarial user activity. It detects both attempted and successful exploits in live AI applications, delivering rich telemetry on malicious queries, system prompt manipulations, and emerging threat vectors.

Model Benchmarks

The SplxAI Platform offers comparative security, safety, and reliability benchmarks across leading open-source and proprietary LLMs, under varying system prompt configurations. These insights guide organizations in selecting models that best align with their AI use cases and security needs.

Agentic Radar

Purpose-built for agentic AI workflows, Agentic Radar performs static analysis of source code to map all agents, tools, custom components, and interdependencies. This enables targeted gray-box red teaming and early detection of architectural vulnerabilities in complex, multi-agent systems.