Firewall that controls access to information across AI and humans
Company is active
Event Year: 2025
Company is active
Event Year: 2025
Velum Labs offers an open-source firewall solution designed to manage content-level access control across various data sources, including documents, databases, and applications. Administrators can define granular policies that are enforced in real-time across the entire technology stack, ensuring that each recipient only sees authorized information.
This firewall operates as an intermediary between data sources and consumers, such as Large Language Models (LLMs), end-users, and third-party vendors, enforcing access policies on every request. By understanding the semantic content of text, documents, and databases, Velum Labs identifies sensitive information based on predefined policies and applies recipient-specific controls without disrupting essential workflows.
Velum Labs enables teams to create policies using natural language, defining sensitive data and access permissions. These rules are then consistently enforced across all integrated systems. When authorization levels change, the platform can reveal tokenized data in real-time to approved recipients, balancing security with data utility.
The solution integrates seamlessly with existing infrastructure. For AI-driven workflows, Velum Labs intercepts prompts, responses, and data retrievals to prevent the leakage of sensitive information into or out of AI models. For enterprise systems like Salesforce, SAP, or Workday, the platform extends policy enforcement to exports, reports, and data synchronization processes.
Velum Labs is engineered for scalability and compliance, offering encryption and structure-preserving tokenization for high-throughput data pipelines. With multi-cloud deployment options and configurable data residency per tenant, the platform helps organizations meet stringent compliance requirements.
Velum Labs offers an open-source firewall solution designed to manage content-level access control across various data sources, including documents, databases, and applications. Administrators can define granular policies that are enforced in real-time across the entire technology stack, ensuring that each recipient only sees authorized information.
This firewall operates as an intermediary between data sources and consumers, such as Large Language Models (LLMs), end-users, and third-party vendors, enforcing access policies on every request. By understanding the semantic content of text, documents, and databases, Velum Labs identifies sensitive information based on predefined policies and applies recipient-specific controls without disrupting essential workflows.
Velum Labs enables teams to create policies using natural language, defining sensitive data and access permissions. These rules are then consistently enforced across all integrated systems. When authorization levels change, the platform can reveal tokenized data in real-time to approved recipients, balancing security with data utility.
The solution integrates seamlessly with existing infrastructure. For AI-driven workflows, Velum Labs intercepts prompts, responses, and data retrievals to prevent the leakage of sensitive information into or out of AI models. For enterprise systems like Salesforce, SAP, or Workday, the platform extends policy enforcement to exports, reports, and data synchronization processes.
Velum Labs is engineered for scalability and compliance, offering encryption and structure-preserving tokenization for high-throughput data pipelines. With multi-cloud deployment options and configurable data residency per tenant, the platform helps organizations meet stringent compliance requirements.
Total Raised: Unknown (Y Combinator backed)
Last Round: Winter 2026
Total Raised: Unknown (Y Combinator backed)
Last Round: Winter 2026
B2B
B2B
B2B
B2B
Team size: 2
Hiring: No
Team size: 2
Hiring: No