Splunk vs Zscaler
Relationship
Splunk Enterprise Security and Zscaler AI Asset Management (AI-SPM) do comparable work on data security; both also serve buyers who need to detect and respond to security threats; Splunk is acquired, with no independent scale.
Assembled from the recorded fields for this pair, not hand-checked. The comparison below is read from each company’s own profile.
3 of 6 capabilities — Shares data security, evaluation and observability and threat detection and response.
Ludbee capability tags · from the product recordsShared product type — Both ship application, developer tool and platform.
Ludbee product recordsAligned comparison
Capability overlap
Shared · 3
Not verified for Zscaler · 3
Recorded for Splunk. Zscaler’s product records say nothing either way — a missing record is not a missing capability.
Not verified for Splunk · 1
Recorded for Zscaler. Splunk’s product records say nothing either way — a missing record is not a missing capability.
Products, side by side
Algorithmic pairing — assembled from recorded fields, not hand-checked
Splunk
Application
Integrated threat detection, investigation and response platform with agentic AI, SOAR, UEBA and SIEM unified into one SecOps experience.
AIOps and service-intelligence solution that uses AI-driven field discovery and AI-generated event correlation, summaries and root-cause guidance to connect IT events to business service health.
Observability platform where AI agents correlate signals across domains, propose remediation actions such as rollbacks or capacity changes, and provide dedicated agent/AI-system observability alongside infrastructure monitoring.
Developer tool
Platform for building, deploying and running agentic AI systems on Splunk data.
Platform
Assistant inside Splunk Cloud Platform that turns plain-English questions into SPL, the query language Splunk searches machine data with, and explains existing searches back to an analyst.
Zscaler
Application
Governance layer for employee use of generative AI that discovers shadow AI applications, applies allow, block or coach policies per user, and monitors prompts and responses against more than 100 data loss prevention dictionaries to stop sensitive data leaving through AI tools.
AI security posture management that auto-discovers and classifies AI models, agents and services across Azure AI Foundry, Amazon Bedrock, Google Vertex AI and unmanaged providers, correlates the sensitive data connected to them, and maps findings to frameworks including NIST AI RMF 600-1 and the EU AI Act.
Runs AI models over the security data flowing through the Zero Trust Exchange, using attack graphs, user risk scoring and threat intelligence to score the probability of a breach, forecast an attacker's next tactics, and recommend policy changes before the attack completes.
AI-driven detection and diagnosis of digital-experience issues across the network and application delivery path.
Developer tool
Automated adversarial testing for AI applications and agents that runs simulated attacks using 25+ predefined and custom probes across text, image, voice and document inputs, scoring results for security, safety, hallucination and business alignment against MITRE ATLAS, NIST AI RMF and the OWASP LLM Top 10.
Platform
Cloud-native security platform that inspects and enforces policy on every connection between users, devices, workloads and AI agents, rather than trusting anything on a corporate network.
No counterpart
Zscaler sells these in a stack layer with no product recorded for Splunk yet — nothing on the other side to compare them against.
API service
Real-time guardrails for LLM traffic that inspect prompts and responses inline to block prompt injection, jailbreaks, sensitive-data leakage and toxic or off-topic output, deployed either as a proxy or as an API-based Detection as a Service.
Inline, AI-powered sandbox that analyzes unknown files in real time to block zero-day and file-based malware before it reaches endpoints, using AI/ML models trained on 600M+ samples.