Glean
Enterprise AI platform unifying search, assistant and agents over a permission-aware knowledge graph of your company apps.
Delv Safety Grade: B
Score 68/100 · assessed 2026-04-18
Glean is a well-funded enterprise AI platform from a legitimate vendor (backed by Sequoia, Kleiner Perkins), but operates as a closed-source SaaS with broad permissions across your entire company data estate. The permission-aware knowledge graph is a genuine security feature, ensuring users only see what they're entitled to, but the platform itself requires read access to essentially everything: Slack, Drive, Jira, Confluence, email, calendars. No public repository means you're trusting Glean's security posture entirely. The enterprise pricing model and established customer base (Databricks, Confluent) suggest operational maturity, but transparency is limited. Supply chain risk is moderate: you're integrating via OAuth and API keys rather than installing code, but there's no open audit trail. No known incidents, but the blast radius of a Glean compromise would be severe given the breadth of data access.
Green flags
- Permission-aware graph respects existing access controls across apps
- Established enterprise vendor with major VC backing and known customers
- OAuth-based integration limits credential exposure vs custom installs
- No known security incidents or breaches in public record
- Designed for compliance-heavy environments (implies security investment)
Red flags
- Closed source with no public code review or security audit trail
- Requires read access to entire company knowledge base across all apps
- No repository means supply chain is opaque, trust-based only
- Enterprise-only pricing obscures true cost and lock-in risk
- Broad permissions across messaging, files, repos, identity without sandbox
Permissions requested
Pricing
Platforms
Review
If your company has more than 100 people and knowledge is scattered across a dozen tools, Glean pays for itself in time saved. Skip it if you're a startup or if your stack is already unified in one ecosystem.
Good at
- Permission-aware search across all company apps, no data leakage
- Workflow agents can monitor and act on triggers without manual prompting
- Strong integrations with Slack, Google Workspace, Jira, Confluence
- Knowledge graph approach surfaces connections between documents and people
- Agents can compile cross-app summaries autonomously
Watch out
- Enterprise pricing only, no transparent tiers or self-serve option
- Quality depends entirely on your company's data hygiene
- Can over-index on recent documents, ignoring canonical sources
- Struggles with context that lives in conversations, not docs
- Limited value if your stack is already unified in one platform
Use cases
- enterprise search
- workflow agents
- knowledge assistants