AsymptoteAsymptote

Built for the most
security-critical workflows

Asymptote helps teams secure sensitive code and AI workflows with granular controls, private deployment options, and infrastructure that fits enterprise requirements.

Enterprise-Grade Protection

Audit logging

Maintain detailed logs of access, admin actions, and system changes for monitoring and compliance.

Deploy in your cloud

Self-host in AWS, Azure, or GCP for tighter control over infrastructure, networking, and data residency.

Bring your own model access

Use your own provider keys and approved model infrastructure instead of relying on a one-size-fits-all setup.

Role-Based Access Control (RBAC)

Platform access is defined and enforced by role, ensuring every user automatically gets the right permissions for their job.

Data control and privacy

Keep sensitive code and development context inside approved environments for high-trust teams.

Single Sign-On (SSO)

Asymptote integrates with providers like Okta for secure access without additional passwords.

Your data, protected end to end

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Encryption at rest and in transit

Data is protected with automatic encryption at every stage, including AES-256 for storage and backups and TLS 1.2+ for all data in transit.

Zero-day retention with LLMs

Asymptote enforces zero-day retention with providers such as OpenAI and Anthropic, ensuring customer data is not stored or used for training.

Secure key management

Access to Asymptote systems is protected with centrally managed keys, strict access controls, and enforced rotation policies.

Security Q&A

Security is foundational to how Asymptote is built

We built Asymptote for teams adopting AI in high-trust environments. These are the questions security reviewers, platform teams, and buyers ask most often.

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How does Asymptote protect sensitive code and development context?

Asymptote is designed to reduce exposure of sensitive data across AI-assisted workflows with encryption, controlled deployment options, and data-handling guardrails built for security-conscious teams.

Can we deploy Asymptote in our own environment?

Yes. Teams can deploy Asymptote in controlled environments when they need tighter requirements around infrastructure, networking, or data residency.

Do we have to use shared model credentials?

No. Asymptote supports bring-your-own-key and provider choice so teams can work with approved model infrastructure instead of relying on a one-size-fits-all setup.

How is data handled when model providers are involved?

Asymptote is designed so customer data is used to process requests, not to improve underlying models. For supported providers such as OpenAI and Anthropic, we enforce zero-day retention configurations to help ensure sensitive data is not stored or used for training.

How often do you perform security audits and vulnerability assessments?

Asymptote uses automated vulnerability scanning, recurring security reviews, and continuous monitoring practices to help maintain a strong security posture as the platform evolves.

Need more information for your security review?

Visit the Trust Center, or contact us to discuss deployment options, security controls, and procurement requirements.