FireTail Centralized AI Logging vs Zscaler AI Runtime Protection: Side-by-Side Comparison (2026)

FireTail Centralized AI Logging: Aggregates & analyzes LLM logs from multiple AI providers for security & governance. built by FireTail. Core capabilities include Centralized log aggregation from multiple LLM providers into a single platform, Log normalization into a standardized format across providers, Captures prompts, responses, token usage, errors, and metadata..

Zscaler AI Runtime Protection: Runtime protection for AI systems detecting prompt attacks & data leaks. built by SPLX. Core capabilities include Real-time detection and blocking of jailbreaks and prompt injections, Input and output filtering with guardrails, Custom policy creation using natural language..

Both serve the LLM Guardrails market but differ in approach, feature depth, and target audience.

FireTail Centralized AI Logging differentiates with Centralized log aggregation from multiple LLM providers into a single platform, Log normalization into a standardized format across providers, Captures prompts, responses, token usage, errors, and metadata. Zscaler AI Runtime Protection differentiates with Real-time detection and blocking of jailbreaks and prompt injections, Input and output filtering with guardrails, Custom policy creation using natural language.

FireTail Centralized AI Logging is developed by FireTail. Zscaler AI Runtime Protection is developed by SPLX. Vendor maturity, funding stage, and team size can be important factors when evaluating long-term viability and support quality.

FireTail Centralized AI Logging and Zscaler AI Runtime Protection serve similar LLM Guardrails use cases: both are LLM Guardrails tools, both cover Anomaly Detection. Review the feature comparison above to determine which fits your requirements.