splx.ai

What It Is

SPLX is an end-to-end security platform for AI systems, covering AI security testing, red teaming, runtime protection, and governance from development through deployment and operation. Its website indicates that SPLX is now part of Zscaler, positioning it more as enterprise-grade AI security infrastructure than a single-purpose prompt detection tool.

Core Capabilities and Protection Types

Its core modules include AI Asset Management, Automated AI Red Teaming, AI Runtime Protection, AI Governance & Compliance, Dynamic Remediation, AI Runtime Threat Inspection, and AI Model Security. Its capabilities cover automated discovery of models, AI workflows, MCP servers, and guardrails; building an AI-BOM; continuous red-team testing; detection of jailbreaks, prompt injection, malicious queries, and sensitive data leakage; and applying guardrails to inputs and outputs at runtime. It also offers the open-source Agentic Radar tool, described as a SAST scanner for agentic workflows, which can visualize workflows, identify attack patterns and tool-level vulnerabilities, and provide hardening recommendations.

Management, Compliance, and Integrations

SPLX emphasizes a unified platform and a single control point, with continuous monitoring of prompts, agents, and runtime behavior, as well as audit-ready reporting. On compliance, the site says AI systems can be automatically mapped to global and custom security standards to support alignment with regulatory frameworks and internal policies, but it does not list specific compliance certifications or framework names. Integration details are limited: it only confirms coverage of models, AI workflows, MCP servers, guardrails, LLM logs, and custom red-team datasets, without specifying integrations with SIEM, SOAR, cloud platforms, identity systems, or development pipelines.

Pricing and Deployment

For pricing, the website only shows a Pricing entry point and a Book a Demo option. It does not disclose public plans, whether billing is based on models, usage, or asset count, or whether a free trial is available. Deployment options are also not disclosed, so it is unclear whether SPLX is offered as SaaS, private deployment, hybrid deployment, or as a capability within the Zscaler platform.

Pros, Cons, and Who It’s For

Its strengths lie in relatively comprehensive coverage across the AI lifecycle, making it particularly suitable for mid-sized and large enterprises that need continuous red teaming, runtime protection, AI risk-surface visualization, and governance auditing. The downside is that the public information is fairly marketing-oriented, while key procurement factors such as pricing, deployment model, SLA, integration list, and China support remain unclear. It is best suited to organizations that have deployed AI Assistants, Agents, or LLM workflows in production and manage them jointly across security, platform, and compliance teams. For small teams or scenarios that only require simple prompt filtering, it may be more heavyweight than necessary.

Access from China

Information on access from mainland China, payment methods, and local service availability is unknown. If procurement is affected by network access, compliance, or data export restrictions, it is advisable to first verify console accessibility, log data residency, contracting entity, and payment methods, while also evaluating AI security gateways, content safety solutions, and model security assessment offerings from domestic security vendors or cloud providers.