Defend AI vs Zscaler SPLX AI Runtime Threat Inspection: Side-by-Side Comparison (2026)

Defend AI: Defend AI delivers runtime security guardrails with >98.1% accuracy and subsecond latency. built by Straiker. Core capabilities include Real-time runtime guardrails for AI agents and LLM applications, Prompt injection detection and blocking, Data leakage and exfiltration prevention..

Zscaler SPLX AI Runtime Threat Inspection: Analyzes AI interaction logs for near real-time threat detection in GenAI apps. built by SPLX. Core capabilities include LLM log analysis and scanning, 25+ AI threat detectors, JSON log file upload..

Both serve the AI Threat Detection market but differ in approach, feature depth, and target audience.

Defend AI differentiates with Real-time runtime guardrails for AI agents and LLM applications, Prompt injection detection and blocking, Data leakage and exfiltration prevention. Zscaler SPLX AI Runtime Threat Inspection differentiates with LLM log analysis and scanning, 25+ AI threat detectors, JSON log file upload.

Defend AI is developed by Straiker founded in 2024-01-01T00:00:00.000Z. Zscaler SPLX AI Runtime Threat Inspection is developed by SPLX. Vendor maturity, funding stage, and team size can be important factors when evaluating long-term viability and support quality.

Defend AI integrates with claude code, microsoft copilot, claude cowork, chatgpt enterprise, github copilot. Zscaler SPLX AI Runtime Threat Inspection integrates with REST API, Large Language Models, Conversational platforms. Check integration compatibility with your existing security stack before deciding.

Defend AI and Zscaler SPLX AI Runtime Threat Inspection serve similar AI Threat Detection use cases: both are AI Threat Detection tools. Review the feature comparison above to determine which fits your requirements.