Siesta AI has achieved ISO/IEC 27001 certification, the globally recognized standard for information security management (ISMS). For teams evaluating secure company AI chat, AI agents for business, and workflow automation with AI, this is a clear signal: we treat confidentiality, integrity, and availability as non-negotiables, and we back it with an independent, accredited audit. Our external certification audit took place on 31 March 2026.
What ISO 27001 means in practice
ISO 27001 is not a one-time checkbox. It requires a structured Information Security Management System that identifies risks, applies appropriate controls, documents processes, and continuously improves. In practice, it means security is run as a program: roles are defined, processes are formalized, evidence is maintained, and reviews happen on schedule.
What we implemented to meet the standard
To prepare for certification, we focused on making our security management measurable and repeatable across the company. That included formalizing core security processes in line with ISO 27001 requirements, building and maintaining complete ISMS documentation, completing risk assessment work and maintaining our Statement of Applicability (SoA), running the required management review, and performing an internal audit with findings addressed ahead of the external audit.
Why it matters for enterprise AI adoption
Most AI pilots fail for predictable reasons: unclear data access rules, missing governance, and security concerns that prevent teams from using consumer chat tools. ISO 27001 helps reduce friction in procurement and security review because it provides a familiar framework for evaluating risk management, operational discipline, and audit readiness, especially when AI is connected to internal knowledge and business systems.
How this aligns with Siesta AI’s platform approach
Security has always been central to Siesta AI. ISO 27001 validates how we run our security program and supports the controls customers expect from an enterprise AI platform, including strong access control, auditability, deployment options for stricter environments, and model flexibility without sacrificing governance.
- Governance and access control: support for SSO, MFA, RBAC, and permissions-aware experiences
- Auditability: logs and traceability to support internal reviews and compliance requirements
- Deployment options: private AI deployment paths to fit security and regulatory needs
- Model flexibility: model agnostic AI to reduce lock-in while keeping governance consistent
What customers can expect next
Certification is a milestone, not the finish line. We will keep investing in controls, reviews, and operational practices that make secure AI adoption easier. If your team needs an enterprise AI platform that connects to your tools, supports governance, and scales company-wide without per-seat friction, talk to us. We can share the right materials for your security and procurement process, and point you to the relevant documents in our Trust Center.