Looker vs Push Security

Push Security and Looker sit in different layers of the stack, so 'feature overlap' is essentially zero. Push operates inside the browser: an extension detects and blocks behavioral phishing, AiTM reverse-proxy pages, cloned logins, Browser-in-the-Browser, ClickFix clipboard injection, device code phishing kits that bypass passkeys, consent phishing, and malicious OAuth integrations. It also inventories shadow AI apps, monitors prompts and clipboard use, watches AI file uploads, reviews AI OAuth and agent permissions, and detects agentic browsers like Comet, Atlas, and Dia — plus 'ghost logins' where SSO is bypassed via password fallback. Its telemetry flows to Okta, Google Workspace, Microsoft 365, Sentinel, Splunk, Datadog, and SentinelOne. Looker works in the data layer: define business logic once in LookML, then let analysts and Gemini-powered agents query that same definition. Conversational Analytics APIs (GA) support multi-turn agentic workflows and return the underlying SQL and explanation; Dashboard Agents summarize and deep-dive inside existing canvases; verified queries (golden queries) and Advanced Unused Content Cleanup are now GA in Looker 26.14, with data agents on LookML dashboards and in-database derived_analytic_model in preview. Integration surface is BigQuery, Google Cloud IAM, Gemini, Agentic Data Cloud, GitHub, and Cloud Storage. In short: Push stops attacks and governs AI at the point of human interaction; Looker answers questions and governs metric definitions at the point of data consumption.

The pricing models don't map onto each other at all. Push Security is freemium with a published mid-market figure around $5/user/month for teams under 500 seats — a per-seat security control that scales with headcount and gives you a real number before a demo. Looker is contact-sales only: no published self-serve price list, which the vendor's own positioning flags as a poor fit for buyers who want transparent pricing. In practice that means a Looker evaluation runs through a Google Cloud sales cycle, with cost shaped by your edition, BigQuery consumption, and embedding/API usage — and the real hidden line item is staffing, since LookML modelers have to maintain the semantic layer long-term. The comparison that actually matters is what each replaces: Push is measured against email gateways, secure web gateways, and endpoint agents it complements rather than replaces (it is explicitly not a standalone email security gateway). Looker is measured against other BI stacks and custom analytics builds, where its value depends on how many teams you can standardize on one governed definition. A security leader can approve Push from an existing tooling budget; Looker is a platform commitment with modeling headcount attached.