Overview
Enterprise-grade security and privacy for your AI agents
Helvia.ai delivers safe and reliable AI to organizations in regulated industries. The platform is independently audited, engineered for the unique risks of conversational AI, and built for production use at scale. This page covers our certifications, how we protect customer data, and the safeguards built into the AI itself.
Our Approach to Security
Security shapes every product and operational decision at Helvia.ai. Our philosophy is grounded in a few core principles:
Privacy by design: Anonymization, encryption, and least-privilege access are core to how the platform is built
Full audit trail: Every action in the platform is logged, with role-based access and granular permissions to control who can see and do what
No training on customer data: Conversations, configurations, and content remain yours
Reliability and backups: Automated backups and disaster-recovery procedures protect against downtime and data loss
Responsible AI: Conversational AI introduces new categories of risk, from prompt injection to data leakage through model outputs. We invest in safeguards that anticipate these risks rather than react to them.
Continuous validation: Annual external audits, ongoing penetration testing, and an ISO-certified information security management system
Certifications and Compliance
Helvia.ai commits to trustworthy AI, backed by independent certifications for security, privacy and quality.
How Security Is Organized
Security at the platform is layered across data, roles, observability, and the AI itself. Use the table below to explore each area:
Data privacy and handling
Encryption at rest and in transit, anonymization, retention, and data minimization
Audit logs and access control
Event logging, role-based access and granular permissions
AI safety and guardrails
PII redaction, content validation guardrails, and safe integration with LLM providers
SSO and login
Workspace login options, including single sign-on (SSO) with enterprise identity providers
AI Safety and Data Handling
Running an AI agent platform demands safeguards beyond those of a generic SaaS application. The platform protects sensitive information at every stage of the conversation, from user input through model invocation to response delivery.
Encrypted transmission: Data is encrypted in transit to and from third-party LLM providers
Anonymization before model invocation: Personal data and structured identifiers can be anonymized or pseudonymized before being sent to the LLM
Full LLM auditing: Every input sent to and output received from LLM models is logged and reviewable
Guardrails against malicious prompts: Build validation steps into your agent workflow to detect malicious commands and prevent unchecked user prompts from reaching the model
Frequently Asked Questions
Is my data encrypted?
Yes. All data in transit is protected using TLS, and data at rest is encrypted using AES-256. Passwords are hashed using modern, industry-standard algorithms and are never visible to administrators.
Is Helvia.ai Agent Platform GDPR compliant?
Yes. The platform aligns with the EU General Data Protection Regulation and has an appointed Data Protection Officer overseeing compliance. For details on what data we collect and how we process it, see our privacy policy.
Does Helvia.ai use my data to train its AI models?
No. Helvia.ai does not use customer data to train its AI models. Your conversations, configurations, and content remain yours.
Do third-party LLM providers (OpenAI, Azure, Google) train on my data?
LLM integrations run on your own provider accounts and API keys, so data-use and training terms are set directly by your contract with the provider. Review your provider's data-use policy and enable any available opt-outs on your account.
Do you use sub-processors?
Yes. Helvia.ai engages a limited set of sub-processors that support platform operation, each bound by contractual obligations covering data protection and confidentiality. The current list is available on request from dpo@helvia.ai.
How long is my data retained?
Retention is configurable per workspace, with administrators able to set windows for conversations, logs, and exports.
Do you conduct regular security audits?
Yes. Helvia.ai is certified under ISO/IEC 27001:2023 and undergoes annual penetration testing by an independent external provider.
Security Resources
For everything else, see the Support page for the fastest route to our team
Check live uptime and active incident reports at service-status.helvia.ai
You now have a map of how Helvia.ai protects your data, the certifications behind the platform, and the safeguards built into the AI.
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