SPLX

SPLX provides end-to-end AI security for discovering, assessing, monitoring, and protecting AI models, applications, agents, and infrastructure against security risks.

At a Glance

Pricing Paid

SPLX, formerly SplxAI, is an enterprise AI security platform designed to secure LLM applications, chatbots, AI models, and agentic AI workflows across their lifecycle. The platform combines AI security posture management with offensive security capabilities to help organizations identify vulnerabilities and reduce AI-related risks.

Following its acquisition by Zscaler, SPLX focuses on AI asset discovery, automated red teaming, runtime protection, agent security, and compliance. It helps security and AI engineering teams identify risks during development and protect AI systems in production.

How SPLX Works

  • Discover: SPLX connects through LLM integrations, APIs, and cloud platforms to identify and map models, applications, and AI agents across the environment.
  • Stress-Test: Automated testing agents simulate adversarial personas and natural-language attacks to identify vulnerabilities.
  • Analyze & Remediate: Security findings are aggregated into visualizations and remediation guidance to help reduce the AI attack surface.
  • Defend: Lightweight inline guardrails help detect and block malicious inputs and outputs in live AI deployments.

How We Rated SPLX

SPLX was assessed based on its AI asset discovery, automated red teaming, agent security, runtime protection, compliance capabilities, and coverage across the AI lifecycle.

Pros

  • End-to-end AI security coverage
  • Strong focus on agentic AI
  • Automated AI red teaming
  • AI asset discovery and mapping
  • AWS and Azure marketplace availability

Cons

  • Primarily focused on AI and LLM security
  • Product roadmap affected by Zscaler acquisition
  • Automated red teaming can increase credit usage

SPLX is best suited for:

  • Enterprise security operations teams
  • CISOs and security leaders
  • AI engineering teams
  • Fortune 500 companies
  • Heavily regulated technology organizations

You should choose SPLX if you want to:

  • Discover and map AI assets across your environment
  • Test AI systems with automated red teaming
  • Identify vulnerabilities in LLM applications and agents
  • Protect production AI systems with runtime guardrails
  • Monitor multi-agent workflows and dependencies
  • Map AI security findings to compliance frameworks

SPLX's Key Features

Automated AI Red Teaming

AI Asset Management and AI-BOM

Agentic Radar

AI Runtime Protection

Compliance Mapping

AI Model Security

Pricing

Free Trial

Free

Disclaimer: for the latest and most accurate pricing, please visit the official SPLX website.

Frequently Asked Questions

What is SPLX used for?
SPLX is used to identify, assess, and protect AI systems throughout their lifecycle. It provides AI asset discovery, automated red teaming, runtime protection, and compliance capabilities.
How does SPLX provide end-to-end AI security?
SPLX combines AI discovery, security testing, vulnerability analysis, remediation guidance, runtime protection, and compliance mapping to cover AI systems from development through production.
What types of AI systems can SPLX protect?
SPLX supports LLM applications, chatbots, AI models, AI agents, multi-agent workflows, and other generative AI systems.
Can SPLX identify security risks in AI models and applications?
Yes. Its automated red teaming capabilities simulate attacks such as prompt injection, jailbreaks, data leakage, and social engineering to identify security weaknesses.
Does SPLX provide security for AI agents?
Yes. Agentic Radar helps map multi-agent workflows, nodes, and tool dependencies, while runtime protection helps secure deployed AI agents against live threats.
How does SPLX help organizations manage AI security risks?
SPLX provides AI asset visibility, automated security testing, remediation guidance, runtime guardrails, and compliance mapping to help organizations manage AI security risks.

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