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Algolia Logo

Compare Glean vs Algolia: AI Features, Security & Risk Report

What is covered:

Do they have AI?

Do they train on my data?

Risk of Prompt Injection

Adherence to OWASP Top 10

Adherence to NIST AI RMF

26 risk vectors and more...

Sample of Glean vs Algolia Security Report
Sample of Glean vs Algolia Security Report

PromptArmor is trusted across the Fortune 50 and AmLaw 50

How do you protect your data when using AI in Glean and Algolia?

AI Feature breakdown for Glean vs Algolia

Glean's AI Feature Set

Agentic Reasoning & Automation

Glean interprets user intent and executes multi-step, complex workflows through autonomous agents. Agents can be built via natural language and orchestrated at scale, automating work grounded in relevant company data.

Agentic Reasoning & Automation

Glean interprets user intent and executes multi-step, complex workflows through autonomous agents. Agents can be built via natural language and orchestrated at scale, automating work grounded in relevant company data.

Agentic Reasoning & Automation

Glean interprets user intent and executes multi-step, complex workflows through autonomous agents. Agents can be built via natural language and orchestrated at scale, automating work grounded in relevant company data.

...

See more in full report.

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Algolia's AI Feature Set

Conversational Support and “Ask” Tools

Users can submit natural-language questions in documentation or knowledge bases, receiving instant, context-aware answers designed to feel conversational and accurate.

Conversational Support and “Ask” Tools

Users can submit natural-language questions in documentation or knowledge bases, receiving instant, context-aware answers designed to feel conversational and accurate.

Conversational Support and “Ask” Tools

Users can submit natural-language questions in documentation or knowledge bases, receiving instant, context-aware answers designed to feel conversational and accurate.

...

See more in full report.

...

See more in full report.

...

See more in full report.

Pricing

Here is the pricing model breakdown for Glean and Algolia

Glean's AI pricing model

Freemium

Offers free tiers.

Freemium

Offers free tiers.

Freemium

Offers free tiers.

Per License

Charges per user, org, or access point.

Per License

Charges per user, org, or access point.

Per License

Charges per user, org, or access point.

Consumption-Based

Pay per token, API call, inference, etc.

Consumption-Based

Pay per token, API call, inference, etc.

Consumption-Based

Pay per token, API call, inference, etc.

Outcome-Based

Pay only when certain results or performance goals are achieved

Outcome-Based

Pay only when certain results or performance goals are achieved

Outcome-Based

Pay only when certain results or performance goals are achieved

Algolia's AI pricing model

Freemium

Offers free tiers.

Freemium

Offers free tiers.

Freemium

Offers free tiers.

Per License

Charges per user, org, or access point.

Per License

Charges per user, org, or access point.

Per License

Charges per user, org, or access point.

Consumption-Based

Pay per token, API call, inference, etc.

Consumption-Based

Pay per token, API call, inference, etc.

Consumption-Based

Pay per token, API call, inference, etc.

Outcome-Based

Pay only when certain results or performance goals are achieved

Outcome-Based

Pay only when certain results or performance goals are achieved

Outcome-Based

Pay only when certain results or performance goals are achieved

Why is AI risk important?

Even well-secured apps can leak data

13%

of enterprises have suffered an AI-related security breach in the last year. These include AI-generated phishing and malicious prompt injection.

$4.4M

average cost per incident - with indirect prompt injection and data leakage via LLMs now among the top attack vectors across industries.

Assessing and Monitoring AI Risk becomes crucial

threats are real, fast-evolving, and uniquely difficult to detect. Staying proactive ensures you catch vulnerabilities before they become costly breaches both fiscally and reputationally.

Quick Facts for Reference

Here are some facts about Glean and Algolia

Glean Logo

#1

Glean was founded in 2019 by ex-Google engineers and has rapidly scaled, reaching a $7.2 billion valuation in 2025 with over $100million in annual recurring revenue.

Glean Logo

#1

Glean was founded in 2019 by ex-Google engineers and has rapidly scaled, reaching a $7.2 billion valuation in 2025 with over $100million in annual recurring revenue.

Glean Logo

#1

Glean was founded in 2019 by ex-Google engineers and has rapidly scaled, reaching a $7.2 billion valuation in 2025 with over $100million in annual recurring revenue.

Glean Logo

#2

Glean is an AI-powered enterprise search platform that integrates with hundreds of workplace tools to deliver unified, context-aware results and now offers AI agents to automate actions across business workflows.

Glean Logo

#2

Glean is an AI-powered enterprise search platform that integrates with hundreds of workplace tools to deliver unified, context-aware results and now offers AI agents to automate actions across business workflows.

Glean Logo

#2

Glean is an AI-powered enterprise search platform that integrates with hundreds of workplace tools to deliver unified, context-aware results and now offers AI agents to automate actions across business workflows.

Glean Logo

#3

Glean was named to CNBC's Top 50 Disruptors in 2025 and is widely recognized for pioneering workplace knowledge search using large language models, serving prominent customers such as TIME, Reddit, and Booking.com.

Glean Logo

#3

Glean was named to CNBC's Top 50 Disruptors in 2025 and is widely recognized for pioneering workplace knowledge search using large language models, serving prominent customers such as TIME, Reddit, and Booking.com.

Glean Logo

#3

Glean was named to CNBC's Top 50 Disruptors in 2025 and is widely recognized for pioneering workplace knowledge search using large language models, serving prominent customers such as TIME, Reddit, and Booking.com.

Algolia Logo

#1

Founded in 2012 and based in San Francisco, Algolia is a leader in “search-as-a-service,” powering over 1.7trillion searches annually for more than 18,000 global brands.

Algolia Logo

#1

Founded in 2012 and based in San Francisco, Algolia is a leader in “search-as-a-service,” powering over 1.7trillion searches annually for more than 18,000 global brands.

Algolia Logo

#1

Founded in 2012 and based in San Francisco, Algolia is a leader in “search-as-a-service,” powering over 1.7trillion searches annually for more than 18,000 global brands.

Algolia Logo

#2

Technology & Recognition: Algolia’s end-to-end AI search platform is known for its blazing speed (responses in 1–20ms) and has been named a Leader in the Gartner Magic Quadrant for Search and Product Discovery in both 2024 and 2025.

Algolia Logo

#2

Technology & Recognition: Algolia’s end-to-end AI search platform is known for its blazing speed (responses in 1–20ms) and has been named a Leader in the Gartner Magic Quadrant for Search and Product Discovery in both 2024 and 2025.

Algolia Logo

#2

Technology & Recognition: Algolia’s end-to-end AI search platform is known for its blazing speed (responses in 1–20ms) and has been named a Leader in the Gartner Magic Quadrant for Search and Product Discovery in both 2024 and 2025.

Algolia Logo

#3

Algolia offers “agentic AI,” semantic search, and real-time recommendations, focusing on API-first, developer-friendly, and enterprise-grade solutions; it processes over 30billion records at 99.999% uptime.

Algolia Logo

#3

Algolia offers “agentic AI,” semantic search, and real-time recommendations, focusing on API-first, developer-friendly, and enterprise-grade solutions; it processes over 30billion records at 99.999% uptime.

Algolia Logo

#3

Algolia offers “agentic AI,” semantic search, and real-time recommendations, focusing on API-first, developer-friendly, and enterprise-grade solutions; it processes over 30billion records at 99.999% uptime.

Impact

Unlock the Full AI Risk Report

For comprehensive overview of the AI risk of a vendor, covering 26 different risk vectors mapped to the leading frameworks like OWASP LLM Top 10, NIST RMF. MITRE ATLAS and more.

Adherence to OWASP Top 10

Do they train on my data?

Risk of Prompt Injection

Adherence to NIST

Do they have Web Search?

And more...

FAQ

Answers to your most common questions

What are the new AI security risks?

What industries do you specialize in?

How do I see how a vendor maps to the OWASP for LLM top 10

What are the new AI security risks?

What industries do you specialize in?

How do I see how a vendor maps to the OWASP for LLM top 10

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