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

AFOKUS Red: Air-gapped automated pentest & AI red teaming platform with proof-based findings. built by AFOKUS. Core capabilities include Proof-based exploit verification — findings only reported if exploitation succeeds, AI system red teaming for chatbots, copilots, RAG systems, and tool-using agents, Full attack lifecycle automation from reconnaissance to privilege escalation..

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 Red Teaming market but differ in approach, feature depth, and target audience.

AFOKUS Red differentiates with Proof-based exploit verification — findings only reported if exploitation succeeds, AI system red teaming for chatbots, copilots, RAG systems, and tool-using agents, Full attack lifecycle automation from reconnaissance to privilege escalation. Zscaler SPLX AI Runtime Threat Inspection differentiates with LLM log analysis and scanning, 25+ AI threat detectors, JSON log file upload.

AFOKUS Red is developed by AFOKUS. Zscaler SPLX AI Runtime Threat Inspection is developed by SPLX. The vendor behind a product decides its roadmap, support, and longevity, so check each company's profile before you commit.

AFOKUS Red integrates with REST API, Machine-readable findings export (JSON). 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.

AFOKUS Red and Zscaler SPLX AI Runtime Threat Inspection serve similar AI Red Teaming use cases. Review the feature comparison above to determine which fits your requirements.