AI and machine learning organizations face unprecedented security challenges. Multifactor offers a novel zero-trust solution that mathematically guarantees the integrity and confidentiality of AI models, training data, and inference systems, protecting against adversarial attacks while ensuring responsible AI deployment.
AI and machine learning organizations face unprecedented security challenges. Multifactor offers a novel zero-trust solution that mathematically guarantees the integrity and confidentiality of AI models, training data, and inference systems, protecting against adversarial attacks while ensuring responsible AI deployment.
Multifactor enables AI and machine learning organizations to safeguard access to training data, model parameters, inference pipelines, and other sensitive AI assets through verifiable enforcement of advanced authentication, authorization, and auditing policies.
We understand that effective AI security solutions must be user-centric and that accessible solutions are paramount in the AI safety industry. We aim for the gold standard of indistinguishability, meaning that AI systems become meaningfully harder to attack while researchers and users notice no difference in model performance or system usability.
Unlike other platforms, Multifactor's authentication solution is fully backward compatible with existing AI infrastructure, frameworks, and commonly used authentication factors, ensuring that users don't have to learn new technologies and can continue to use tools they are familiar with while maintaining rigorous security standards.
Learn moreBetween managing model governance, ensuring responsible AI deployment, complex organizational policies, and the need to protect sensitive training data, AI safety demands robust enforcement of sophisticated security policies across the entire machine learning pipeline.
Multifactor's technology suite uniquely enables trustless enforcement across authentication, authorization, and auditing for AI systems, transforming typically weak, software-defined enforcement into strong, cryptographically backed guarantees that protect models, data, and inference systems.
Learn moreExisting account sharing solutions are often irrevocable, untraceable, and backed by weak password-based cryptography. It's no wonder that major password management solutions have dozens of publicly confirmed data breaches!
Multifactor's technology uniquely enables online resources to be shared by multiple users or agents in a way that is immediately revocable, non-repudiable, and fine-grained, without requiring any changes to the underlying application being shared.
Learn moreIdentity is your first and last line of defense in AI systems, and the root cause of most AI security breaches. Multifactor's provably secure zero-trust solution cryptographically guarantees that only authorized agents can access sensitive models and training data, turning identity into your greatest asset in the fight against adversarial attacks and unauthorized AI access. Learn more about our research, or reach out to explore working together.
2025-07-07
Checkpoint uses novel cryptographic techniques to enable easy revocable, non-repudiable, and fine-grained sharing of any online account resource.
2025-07-03
Colin Roberts, Co-Founder and CTO, shares his journey from pure mathematics to crypto-focused startups and now Multifactor, explaining why he's excited about the future of the company.
2025-06-25
A comprehensive guide and interactive tool for the delicate security decision of selecting the best parameters for hard KDFs like Argon2, Bcrypt, Scrypt, PBKDF2, and Balloon Hashing.