Data Theorem vs SplxAI

About SplxAI

SplxAI, which uses the name SPLX, sells scalable red teaming, real-time threat protection, and automated AI compliance and governance for AI systems. SPLX delivers security tooling for red teaming, runtime security, governance and remediation to build, deploy and scale AI systems. SPLX helps global enterprises secure AI systems end-to-end. SPLX describes security teams as lacking the tools to continuously map, monitor, or validate dynamic LLM behavior and vulnerabilities.^{[4][5][7][9][11]}

SPLX builds an AI-BOM, uncovers vulnerabilities, and helps users stay aligned with compliance frameworks. SPLX detects LLMs used across an organization and shows benchmark scores for each. SPLX lets users approve or block usage of the LLMs it detects. SPLX scans code repos to visualize every agent, tool, and MCP server in AI workflows. SPLX discovers MCP servers in an environment and scans for exploitable vulnerabilities in orchestration layers. SPLX connects to cloud platforms, code repos, ML and AI platforms for a unified inventory of AI assets in an organization.^[5][8]

SPLX runs automated red teaming that continuously uncovers vulnerabilities in AI systems. SPLX red teaming runs high-scale vulnerability assessments and simulates domain-specific attacks on AI systems from build to runtime. SPLX red teaming tests malicious prompts from adversarial and regular user personas. SPLX red teaming covers prompt injections, off-topic, hallucinations, and social engineering. SPLX lets users create custom AI assessments to test for specific risk scenarios and security criteria. SPLX lets users upload predefined datasets tailored to their threat models for red teaming. SPLX red teaming simulates attack scenarios with different input types for multi-modal AI assistants. The SplxAI platform integrates into the CI/CD pipeline.^{[1][4][5][7][9]}

SPLX generates hardened system prompts and applies targeted remediation steps based on red teaming insights. SPLX hardens a system prompt and applies dynamic remediation strategies. SPLX enforces input and output guardrails during live deployments to detect malicious behavior, prevent prompt injections, and stop sensitive data leakage in real time. SPLX lets users define off-topic rules and risk boundaries through natural language. SPLX provides detailed logs of blocked prompts and flagged outputs. SPLX scans LLM logs to detect jailbreaks, prompt injections, and malicious queries in near real time. SPLX lets users select risk scanners and upload LLM logs for threat discovery.^{[1][4][5][7][10][12]}

The SPLX Platform maps an AI risk surface to global and industry-specific frameworks to help identify compliance gaps. SPLX automatically maps test results to AI frameworks to spot gaps and eliminate manual tracking. SPLX lets users set custom governance rules or import JSON policies to enforce internal security standards. SPLX stress-tests open-source and commercial language models with thousands of attacks. SPLX model testing shows how models perform with no prompt, a basic prompt, and a hardened prompt.^{[1][4][5][6][13]}

SPLX offers API integration that allows for connections to any type of endpoint. Agentic Radar is an open-source security scanner for agentic AI. Agentic Radar visualizes workflows, surfaces attack patterns and tool-level vulnerabilities, and provides hardening recommendations for each agent.^[1][4][5]

SPLX says it has put controls in place to meet the compliance needs of highly regulated industries. SPLX describes itself as a remote-first team.^{[1][4][5][6][7][9][10][11][14][15]}