SPLX
SPLX secures enterprise AI systems end-to-end with scalable red teaming, real-time threat protection, automated remediation, and AI governance/compliance. Its goal is to enable organizations to deploy AI securely and responsibly from code through production.
At a Glance
- Global enterprises and Fortune 500 organizations
- CISOs and security teams
- AI/ML engineering and development teams
- Organizations deploying customer-service chatbots and internal AI agents
- +1 more
AI Tools by SPLX
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SPLX
Enterprise AI Security Platform
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Latest News
Zscaler announced its acquisition of SPLX to add AI asset discovery, automated red teaming/remediation, runtime guardrails/prompt hardening, and AI governance/compliance to Zero Trust Exchange.
SPLX introduced Policy Generator to turn red-teaming insights into guardrail policies.
SPLX published research on breaking and fixing multi-chained AI-agent workflows with multi-agent red teaming.
Published California SB 53: The CISO's Playbook on enterprise AI security and compliance.
Products & Services
End-to-end enterprise AI security platform covering asset management, automated red teaming, runtime protection, governance/compliance, dynamic remediation, runtime threat inspection, and AI model security.
Automated and continuous adversarial testing for AI applications, agents, models, RAG pipelines, and multi-agent systems, using a large attack database and custom probes.
Free open-source scanner for agentic systems that uses static code analysis to visualize workflows, identify tools and dependencies, map vulnerabilities to OWASP frameworks, and provide remediation guidance.
Near-real-time input/output monitoring and guardrails to detect or block jailbreaks, prompt injection, sensitive-data leakage, unsafe behavior, abuse, and policy violations.
Market Position
SPLX positioned itself as an end-to-end AI security platform built by AI red teamers, combining automated offensive testing with runtime protection, asset discovery, remediation, and governance rather than offering only point-in-time model testing or only runtime guardrails. The relevant competitive set includes Lakera, Protect AI, HiddenLayer, Robust Intelligence, CalypsoAI, Prompt Security, and Mindgard; Zscaler's acquisition adds SPLX's capabilities to a broader Zero Trust platform.
Leadership
Founders
Kristian Kamber
CEO and co-founder; the company says the founding team had experience at Zscaler and Cisco. He led SPLX as CEO and later became VP, AI Security at Zscaler after the acquisition.
Ante Gojsalić
CTO and co-founder; a data scientist and software professional with more than 10 years of research and engineering experience across cloud, security, data, and AI.
Executive Team
Kristian Kamber
CEO & Co-Founder (SPLX; now VP, AI Security at Zscaler)
Co-founded SPLX and led its commercial and company strategy; described by SPLX as having prior experience at Zscaler and Cisco.
Ante Gojsalić
CTO & Co-Founder (SPLX; now Senior Director, AI Red Teaming and Research at Zscaler)
Data scientist and software professional with 10+ years in research and engineering across cloud, security, data, and AI.
Board of Directors
Founding Story
The founders saw that traditional manual red teaming and black-box testing could not keep pace with rapidly changing LLMs, chatbots, and agentic workflows. They started SPLX in 2023 to make AI security testing scalable and continuous, initially focusing on exposing prompt-injection, data-leakage, and other conversational-AI vulnerabilities and then expanding to full-lifecycle protection.
Business Model
Revenue Model
B2B SaaS and enterprise licensing for AI security testing, monitoring, remediation, governance, and compliance, sold through quote-based Professional and Enterprise plans; Probe usage is metered with credits and the platform supports cloud, on-premises, and hybrid/VPC deployment.
Pricing Tiers
Includes 2,000 credits/month with optional additional credits, all Probes plus custom Probes, multimodal support, platform connections, remediation, prompt hardening, organization management, 99.9% SLA, regional US/EU data centers, and designated support.
Everything in Professional plus compliance framework checks, continuous threat monitoring, on-premises and hybrid/VPC deployment, SSO/SAML, Jira/ServiceNow workflow integrations, training/onboarding, and premium support.
Target Markets
- Global enterprises and Fortune 500 organizations
- CISOs and security teams
- AI/ML engineering and development teams
- Organizations deploying customer-service chatbots and internal AI agents
- Regulated industries requiring AI governance and compliance
- Securing customer-facing chatbots and conversational AI
- Testing internal enterprise AI assistants, LLM applications, agents, RAG pipelines, and multi-agent workflows
- Continuous pre-deployment and production monitoring
- AI model selection and safety benchmarking
- AI risk management, compliance, and audit readiness
- Security-by-design analysis of agentic workflow source code
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