At Benchling, our mission is to unlock the power of biotechnology. Our customers count on us to speed up their research, improve data accuracy, boost productivity, and help them quickly adopt new scientific technologies. Built on large language model (LLM) technology, our LLM-powered features focus on increasing productivity, helping scientists spend less time on manual tasks and more time on their actual science. Our commitment remains firm: to help scientists achieve more with biotech.
At Benchling, security and privacy are more than just policies–they're our promises. As we introduce our new LLM-powered features and explore new technological frontiers, our core principles of trust, choice, transparency, and reliability remain unchanged. We welcome any questions or feedback as we continue to be your trusted partner in biotech R&D.
Benchling Intelligence features are opt-in
Benchling recognizes that AI is new and evolving, and we want to give our customers a meaningful choice in enabling AI-powered features. To ensure you always have control, these features are opt-in. The features can be enabled via the tenant admin console; see the Benchling Intelligence page for more information.
Model providers
The AI models that we use are hosted by Amazon Bedrock and OpenAI. Amazon Bedrock is an AWS service that hosts a variety of models such as Anthropic Claude. We constantly evaluate the most effective model for each use case and follow the security & privacy principles below.
OpenAI can be disabled via the tenant admin console; see the Benchling Intelligence page for instructions.
Key principles for LLM-powered features
- Transparency and consent: At Benchling, we prioritize transparency and are committed to keeping our customer fully informed about when and how AI is being used. LLM-powered features are provided at our customer’s discretion, on an opt-in basis. We will clearly communicate any use of AI in our services, ensuring that you are aware of how your data is being processed. Additionally, Benchling will not share your customer data with a third party without your consent.
- Multi-tenant controls: Benchling's multi-tenant controls are enforced when using LLM-powered features, ensuring that our Customers' data remains isolated and logically segregated at all times.
- Retention: Benchling ensures that third-party model providers store data temporarily or in-memory only. After this period, all data is securely purged by the third-party providers.
- Data training: The third parties that develop and host our AI models (OpenAI, Amazon Bedrock, and Anthropic) are not permitted to train their models on customer data. Additionally, in Benchling’s own models, Benchling does not use customer data for any cross-customer training.
Our commitment to customer trust
At Benchling, trust is in our DNA. Maintaining security, data privacy, and compliance are essential to our commitment to our Customers. We recognize that we have a big responsibility ensuring your data is both protected and secured.
Our security program is rooted in:
- Industry standards backing: Our program aligns with the NIST cybersecurity framework and the ISO standard for information security, ensuring holistic investments in security.
- External audits: Our commitment to transparency means that our program undergoes external audits annually, encompassing compliance-based audits (ISO 27001, SOC 2 Type 2), customer audits, and technical system audits.
Incorporating security in product development
Security is integrated throughout our software development life cycle. We employ:
- Secure coding guidelines and annual mandatory secure coding training
- Threat modeling and architecture reviews
- Automated and manual security checks
- Regular vulnerability scanning, including third-party penetration testing
Maintenance and vulnerability management
Beyond deployment, we invest in regular maintenance. Our vulnerability management tools scan our systems, encompassing our production infrastructure, source code, and corporate assets, at least weekly.
Corporate security practices
Aligned with ISO 27001 standards, our corporate security practices ensure:
- Strict access controls through our SSO provider with mandatory multi-factor authentication for IT services
- Comprehensive onboarding and offboarding processes
- Mandatory annual security awareness training for all Benchling personnel
Certification
Benchling’s security and privacy programs are certified under ISO/IEC 27001:2013 and the Data Privacy Framework, as approved by the Department of Commerce. Benchling also maintains a SOC 2 Type 2 Attestation.
Security documentation
To learn more about Benchling’s security practices, please read our Information Security Policy and our Security Whitepaper.
Regulatory and privacy compliance
Benchling is compliant with all applicable data protection laws and regulations, including both GDPR and CCPA. To learn more about Benchling’s privacy practices, please visit our Privacy Page.
Contractual protections
Benchling has a robust agreement in place with OpenAI, ensuring that OpenAI is held to the highest standards as our subprocessor. Additionally, we have also signed a comprehensive Data Processing Agreement (DPA) with OpenAI, further reinforcing our commitment to safeguarding data and ensuring OpenAI adheres to the stringent privacy and security protocols we demand.