Gemini in Looker vs Agent Security Suite
Detailed side-by-side comparison to help you choose the right tool
Gemini in Looker
Business AI Solutions
Google's AI assistant integrated into Looker that helps users analyze data through natural language queries and generates insights from business intelligence dashboards.
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CustomAgent Security Suite
🟢No CodeBusiness AI Solutions
Enterprise-grade security platforms that protect, monitor, and govern AI agents across their full lifecycle — from development through production deployment — with unified observability, threat detection, and compliance controls.
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CustomFeature Comparison
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Gemini in Looker - Pros & Cons
Pros
- ✓Grounded in Looker's governed semantic layer (LookML), which reduces hallucinations and respects existing access controls and metric definitions
- ✓Six distinct AI assistants cover the full BI workflow from data exploration to slide generation, more comprehensive than most competing BI Copilots
- ✓Tight integration with BigQuery and the broader Google Cloud data stack makes it a natural fit for existing GCP customers
- ✓LookML Code Assistant accelerates developer productivity by generating semantic model code from natural language prompts
- ✓Automatic Slide Generation directly exports dashboard content to Google Slides, useful for executive reporting workflows
- ✓Available across multiple languages including English, Spanish, French, German, Japanese, Korean, and Portuguese for global teams
Cons
- ✗Requires an existing Looker license plus a separate Gemini in Looker add-on, layering enterprise costs on top of Google Cloud spend
- ✗Quality of AI responses depends heavily on the quality of LookML modeling — poorly modeled instances will produce poor results
- ✗Locked to the Looker ecosystem, so teams using Tableau, Power BI, or other BI platforms cannot benefit
- ✗Some features remain in preview or limited availability, with capabilities and regions rolling out gradually
- ✗Public pricing is not transparently listed; customers must contact Google Cloud sales for licensing quotes
Agent Security Suite - Pros & Cons
Pros
- ✓Broad cross-platform coverage spanning Microsoft Copilot, Salesforce Agentforce, ServiceNow, ChatGPT Enterprise, Google Vertex AI, and Amazon Bedrock in a single control plane
- ✓Three-layered architecture (Observability, AI-SPM, AIDR) maps cleanly to established security disciplines like CSPM and EDR, shortening the learning curve for existing SecOps teams
- ✓Active original research program through Zenity Labs, with named vulnerability disclosures like AgentFlayer and PleaseFix that feed detections back into the product
- ✓Detects shadow AI and citizen-developed agents in low-code environments like Power Platform, which most general-purpose security tools miss entirely
- ✓Industry-specific framing for financial services, government, and healthcare with compliance-oriented controls suited to regulated deployments
- ✓Runtime threat detection goes beyond static posture scanning to catch prompt injection, data exfiltration, and anomalous agent behavior in production
Cons
- ✗Enterprise-only pricing with no published tiers, free trial, or self-serve option — unsuitable for small teams or early-stage experimentation
- ✗Value depends on the breadth of agent platforms you actually run; single-platform shops may find narrower native tooling cheaper
- ✗Agentic AI security is a young category, so detection coverage and false-positive rates are still maturing across the industry, Zenity included
- ✗Requires meaningful integration work and permissioned connections to each agent platform, which can be slow in change-controlled enterprises
- ✗Overlaps with features now appearing natively in Microsoft Purview, Salesforce Shield, and hyperscaler AI guardrails, forcing buyers to justify a dedicated layer
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