SPLX is an AI security company offering an end-to-end platform for enterprises to test, protect, and govern AI systems from development through deployment. Its platform is built to secure LLM applications, RAG systems, chatbots, and agentic workflows through a combination of offensive testing, runtime defenses, asset visibility, remediation, and governance controls.
The company positions its offering as a purpose-built AI security platform for enterprise-scale adoption, giving teams a unified way to manage AI risk across the lifecycle rather than relying on disconnected point tools. SPLX also states that it is now part of Zscaler, extending its role within a broader security ecosystem.
Offerings, Capabilities, and Integrations
SPLX delivers a unified operating layer for AI security across pre-deployment and production environments. Its capabilities span AI asset discovery, adversarial testing, runtime policy enforcement, post-deployment threat inspection, automated remediation, model evaluation, and compliance mapping so security teams can manage AI risk in a continuous workflow.
The platform is designed to fit into existing enterprise AI environments through connectors and APIs. SPLX supports integration through REST APIs, conversational platforms, leading commercial and open-source LLM ecosystems, cloud environments, and Databricks, helping organizations bring AI applications and workflows under a common security and governance model.
Products and Services
- SPLX Platform: Unified AI security platform that centralizes testing, runtime protection, governance, remediation, and model security across the AI lifecycle.
- AI Asset Management: Discovery and management capability that inventories models, AI workflows, MCP servers, and guardrails, creating an AI bill of materials and surfacing vulnerabilities, dependencies, and compliance gaps.
- Automated AI Red Teaming: Automated adversarial testing for LLM applications, chatbots, RAG systems, and agentic workflows using SPLX attack coverage and customizable datasets.
- AI Runtime Protection: Runtime guardrail capability that monitors inputs and outputs, blocks unsafe behavior, and helps prevent prompt injection, data leakage, and policy violations in live deployments.
- AI Governance & Compliance: Governance layer that maps findings to global and custom standards and policies, helping teams operationalize compliance and identify control gaps.
- Dynamic Remediation: Automated remediation capability that turns testing and monitoring findings into hardened system prompts and targeted corrective actions.
- AI Runtime Threat Inspection: Post-deployment monitoring capability that inspects AI interactions and logs to detect jailbreaks, prompt injections, malicious queries, policy violations, and behavioral drift.
- AI Model Security: Model evaluation capability that benchmarks commercial and open-source LLMs across security, safety, hallucination, and business-alignment criteria to support model selection.
- Agentic Radar: Open-source security scanner for agentic AI that visualizes workflows, identifies tools and dependencies, maps vulnerabilities, and recommends hardening actions.
- Analyze with AI: Post-scan analysis feature that summarizes red teaming results, groups attack methods, visualizes patterns, and recommends prioritized fixes.
- Platform API: API layer for automating testing workflows, accessing benchmark data, and integrating SPLX processes into CI/CD and other engineering pipelines.
Target Customers
SPLX targets large enterprises and global organizations adopting generative AI in production, especially those securing customer-facing assistants, internal copilots, RAG applications, and agentic workflows.
Primary buyers and users include CISOs, security leaders, AI security teams, compliance officers, AI risk owners, engineering leads, and AI engineers. The platform is suited to organizations that need scalable testing, live threat monitoring, policy enforcement, and audit-ready governance without slowing AI rollout.
Cloud Integrations and Marketplace
- AWS Marketplace: SPLX maintains an AWS Marketplace presence for its AI security platform, supporting cloud-based procurement and access for AWS-centered enterprise teams.
- Microsoft Azure Marketplace: SPLX is available through Microsoft Azure Marketplace, supporting enterprise procurement and deployment for organizations building AI on Azure.
- Amazon Bedrock: SPLX supports integration with Amazon Bedrock, allowing teams to connect and assess AI systems built on Bedrock models.
- Databricks Data Intelligence Platform: SPLX integrates with Databricks as a technology partner to help secure AI applications and workflows from development through live deployment.
Key People
- Kristian Kamber: CEO & Co-Founder
- Ante Gojsalić: CTO & Co-Founder
- Michael Sutton: Advisor / Investor
- Manoj Apte: Advisor / Investor
- Chenxi Wang, Ph.D.: Advisor / Investor
Key Facts
- Headquarters: Dover, Delaware, United States
- Employees: 11-50 employees
- Annual Revenue: Undisclosed
- Parent Company: Zscaler, Inc.
- Subsidiaries: 1 known subsidiary in Croatia
- Publicly Listed: No; part of Zscaler, Inc., which is listed on NASDAQ: ZS
