Skip to content

SecurityZscaler

SPLX

Automated AI red teaming, runtime protection, and governance.

Category
Security
Pricing
PAID
Source
Proprietary
Hosting
Cloud
Platforms
WebAPI
Models
Model-agnostic
Verified
Jun 13, 2026

SPLX is an AI security platform that runs automated red teaming against LLM apps and AI agents, simulating thousands of adversarial attacks — prompt injection, jailbreaks, data leakage — to surface vulnerabilities. It adds AI asset discovery, system-prompt hardening, runtime protection, and governance across the AI lifecycle, plus Agentic Radar, an open-source scanner for agentic workflows. It targets security teams shipping AI to production.

Capabilities 4

What it actually does — grouped by capability family.

  • Red-teaming (primary capability)
  • Guardrails (primary capability)
  • AI security scanning (secondary capability)
  • Regulatory compliance (secondary capability)

Pros & cons

  • Automated, continuous red teaming
  • AI asset discovery and governance
  • Runtime protection for live AI apps
  • Covers agents, RAG, and MCP servers
  • Agentic Radar scanner is open source
  • Sales-led, no public pricing
  • Enterprise-oriented
  • Now folded into Zscaler's platform
  • Newer than traditional AppSec tools

Tags

Further reading

Alternatives to SPLX (4)

View all Security →
  • View Lakera details
    SecurityFREEMIUM

    Lakera

    Lakera (Check Point)

    Real-time guardrails against prompt injection and jailbreaks for AI apps.

    Lakera Guard sits between users and LLMs as a low-latency security layer, detecting and blocking direct and indirect prompt injection, jailbreaks, and system-prompt extraction across 100+ languages. Its models are trained on adversarial data from Gandalf, Lakera's prompt-injection game. Acquired by Check Point in 2025.

    Detection sharpened by the Gandalf game
    Behavioral detection risks false positives
    • prompt-injection
    • guardrails
    • llm-security
    • jailbreak
    Open
  • View Prompt Security details
    SecurityPAID

    Prompt Security

    Prompt Security (SentinelOne)

    Runtime security for enterprise GenAI: shadow-AI visibility, data-leak and prompt-injection defense.

    Prompt Security secures both employee use of GenAI tools and homegrown LLM applications, giving organizations visibility into shadow AI, blocking sensitive-data leakage, and preventing prompt injection in real time. Acquired by SentinelOne in 2025 and integrated into its Singularity platform.

    Real-time data-leak prevention
    Enterprise, paid-only pricing
    • genai-security
    • shadow-ai
    • data-leak-prevention
    • prompt-injection
    Open
  • View Protect AI details
    SecurityPAID

    Protect AI

    Protect AI (Palo Alto Networks)

    End-to-end security for ML models, AI apps, and the AI supply chain.

    Protect AI secures the AI/ML lifecycle from model selection through deployment and runtime: model scanning for serialization attacks, AI red teaming, posture management, and runtime protection. It also stewards open-source tools like ModelScan. Acquired by Palo Alto Networks in 2025 and integrated into the Prisma AIRS platform.

    Covers full AI/ML lifecycle
    Enterprise, paid-only
    • mlsecops
    • model-scanning
    • ai-supply-chain
    • red-teaming
    Open
  • View Pillar Security details
    SecurityPAID

    Pillar Security

    Pillar Security

    Discover, govern, and secure the AI agents across your organization.

    Pillar Security is an end-to-end platform for securing enterprise AI — from discovering every AI agent, model, and integration in use to red-teaming them and enforcing runtime guardrails. It maps the AI supply chain across code, SaaS, and endpoints, then layers on governance, data-privacy controls, and compliance mapping. It targets AI-specific risks such as prompt injection, jailbreaks, and data poisoning.

    End-to-end AI lifecycle coverage
    Enterprise sales; no public pricing
    • ai-security
    • guardrails
    • red-teaming
    • ai-governance
    • +1
    Open
Open SPLX