Glean vs. Prediction Guard

Prediction Guard offers a secure, self hosted AI control plane with built in governance enforcement allowing organizations to observe and control AI application and agent behavior. While Glean focuses heavily on workplace productivity optimization, enterprise search, and internal knowledge indexing, Prediction Guard differentiates itself through its vendor agnostic deployment flexibility, active real time policy enforcement at the control plane, and exportable AI governance proof.

The core difference between Prediction Guard and Glean lies in their primary architectural purpose and deployment flexibility. Glean operates as an enterprise search platform and workplace productivity assistant that aggregates and indexes internal company knowledge from various applications. It provides employees with tools to query documents, automate standard workflows, and construct productivity agents. While it incorporates internal data protections and permissions to ensure users only see content they are authorized to access, its security model is optimized for managing data exposure within its own application environment and pre built workspace connectors.

Prediction Guard serves as an engineering platform and self hosted AI control plane built to govern custom AI systems and autonomous agents across any infrastructure. Instead of focusing on end user search, Prediction Guard provides developers with complete infrastructure flexibility, enabling deployment in secure virtual private clouds or entirely air gapped environments. It actively enforces governance policies at the runtime level, scanning inputs for threats like prompt injections or privacy leaks before requests ever reach model providers. Furthermore, it delivers verifiable supply chain management by enabling engineering teams to track their entire AI architecture, export structured asset inventories, and stream live audit logs directly to existing enterprise security monitoring systems.

Evaluation Criteria		Glean Capabilities
No Code Agent Building Empowering non technical users to quickly assemble custom agents via a visual interface.	✓ Offered via Agent Forge, a visual user interface that allows non technical staff to build domain specific agents natively plugged into the governance harness.	✓ Provided through Glean Agent Builder, a visual configuration canvas that allows business users to automate knowledge intensive workflows.
Confabulation Detection and Grounding Mitigating hallucinations by ensuring agent outputs are verified against authoritative references.	✓ Supports automated or human in the loop fact checking, citation validation, and retrieval augmented generation controls to constrain agent sources.	✓ Uses its central Enterprise Graph and hybrid search engine to ground responses directly in live company documentation, communication channels, and tickets.
Sovereign Infrastructure and Air Gapped Flexibility Deploying the core AI platform fully on premise, in a private virtual cloud, or at constrained edge locations.	✓ Fully self hosted control plane designed to run in air gapped or network constrained environments to guarantee complete data sovereignty.	✕ Built primarily as a cloud platform that requires persistent workspace connectivity to index broad enterprise application ecosystems.
Exportable Governance Proof and AIBOMs Generating verifiable AI Bill of Materials and compliance audits for security frameworks over time.	✓ Enables teams to inventory AI assets, export versioned AIBOMs in standard formats like CycloneDX, and stream active runtime audit logs to security operations.	✕ Focuses on user permission scanning and search compliance within workspace apps rather than generating exportable software supply chain bills of materials.
Infrastructure Level Threat Enforcement Interceptors that actively scan inputs for prompt injections and privacy leaks at the network perimeter.	✓ The self hosted control plane screens all developer transactions for security violations at the infrastructure level before data leaves the customer network.	− Lacks an intermediate engineering gateway proxy for developer applications, though it natively handles internal user data access permissions.
Model and Agent Kill Switches Centralized administrative toggles to immediately disable specific models or agents during a security incident.	✓ Features a central Admin Console with immediate kill switches for models, agents, or Model Context Protocol servers alongside granular quota limits.	✕ Managed via workspace app connectivity tools but lacks centralized developer level infrastructure kill switches for custom backend models and endpoints.

✓ Covered

− Partial / unclear

✕ Not covered

How does the pricing model of Glean compare with Prediction Guard’s pricing model?

Glean relies on a per user per month subscription model that typically requires a minimum contract of one hundred seats and features additional cost add ons for advanced generative AI capabilities. This seat based structure makes long term costs highly unpredictable and expensive to scale across expanding workforces. In contrast, Prediction Guard offers a predictable pricing model based on a fixed annual software product license. There are no per seat or usage based fees, allowing engineering teams to scale their custom AI systems and agents organization wide without budgeting uncertainty.

Is Glean complementary with Prediction Guard’s AI Control Plane?

No, Glean is not complementary with Prediction Guard because they represent distinct architectural approaches to enterprise AI adoption. Glean is an out of the box enterprise search and internal knowledge assistant designed for general employees to query existing workspace applications. Prediction Guard is a sovereign infrastructure plane built for engineers to deploy, govern, and secure custom AI systems. Prediction Guard provides an approved, governed, and locked down AI system that becomes the engineering standard for the organization, making it an alternative path for teams focused on building proprietary applications with deep structural control.

How does Prediction Guard handle data privacy in highly regulated industries compared to Glean?

Glean requires persistent connectivity to various cloud hosted enterprise software tools to continuously index company documentation and user communication. Prediction Guard provides total data sovereignty by allowing its entire AI control plane to deploy directly within a customer private virtual cloud or on premise infrastructure. This control plane can operate in completely air gapped environments, ensuring that no sensitive data ever leaves the secure corporate network perimeter before governance policies are actively enforced.

What kind of compliance and governance documentation does Prediction Guard provide that Glean lacks?

Prediction Guard provides exportable, verifiable proof of alignment with formal AI security frameworks like NIST and OWASP over time. This includes the capability to generate, version, and export a complete AI Bill of Materials in standardized formats like CycloneDX for all integrated software assets. While Glean manages individual user data access permissions within its own workspace interface, it does not offer structured supply chain tracking or the ability to stream live runtime infrastructure threat logs to centralized corporate security operations systems.

What are model kill switches and how does Prediction Guard utilize them?

Model kill switches are centralized administrative controls that allow security teams to immediately disable specific AI models, agents, or backend servers if an active policy violation or system threat is detected. Prediction Guard builds these granular controls directly into its centralized Admin Console along with strict throughput and quota management. This ensures that any compromised or unaligned asset can be neutralized instantly, a critical infrastructure security feature that is missing from generalized workplace search applications.

Glean vs. Prediction Guard: Sovereign AI Governance and Supply Chain Control

What is the primary difference between Prediction Guard and Glean?

Feature Capability Matrix: Prediction Guard vs. Glean

FAQs: Prediction Guard vs. Glean