Your Data Security is Our Top Priority

Our AI agents are designed to automatically detect and mask Personally Identifiable Information (PII) to prevent accidental exposure.

We use advanced guardrails to prevent AI hallucinations and ensure that responses stay within the bounds of your business procedures.

Comprehensive audit logs track all access and changes to your system, providing full transparency for compliance requirements.

All Aissist employees undergo regular security and privacy training to stay updated on the latest threats and best practices.

Aissist reads the conversations your helpdesk routes to it, along with the knowledge you connect: help centre articles, internal documents, policies, and the systems you authorise it to query for order, billing or account context. It reads what it needs to answer the case in front of it. Anything you do not connect, it cannot see.

Replies and actions are written back into your helpdesk and the systems you have connected, under the credentials you provision. Your helpdesk remains the record of the conversation, which means an exit from Aissist does not require a data migration — the history was never held hostage in a second platform.

Personally identifiable information is detected and masked automatically so it is not exposed in places it does not belong. This runs on the content flowing through the platform rather than depending on your agents to redact by hand, because manual redaction fails exactly when volume is highest.

Data is encrypted at rest with AES-256 and in transit with TLS 1.2 or higher. Sensitive information is never written in plain text. Encryption in transit covers the hops between your helpdesk, the platform and any connected system, not only the browser session.

Internal access follows least privilege: staff hold the narrowest permission set their role requires, and multi-factor authentication is enforced on internal systems and employee accounts. Access and changes are captured in audit logs you can request for a compliance review.

The platform is built on AWS and Azure infrastructure with 24/7 monitoring, inheriting the physical and network controls of those data centres. Vulnerability scanning and both automated and manual penetration testing run on a regular cycle against the application layer above them.

Responses are generated from your approved knowledge and connected systems rather than from the model's own memory. An answer that cannot be grounded in a source you control is an answer the platform should not give, which is what keeps a confident-sounding invention out of a customer conversation.

Refund limits, verification steps, disclosure requirements and brand tone apply on every channel and every conversation. A single execution can fan out into many tasks, and the same guardrails apply to each one rather than only to the first.

The agent judges from context when a case needs a person — sensitive, ambiguous, or outside policy — and hands over with the full conversation attached. The safety property that matters is not that the AI is always right; it is that it recognises the cases where being wrong would be expensive.

Every AI-handled conversation is audited and errors are graded by severity, so an out-of-policy commitment is never averaged away against a typo. Aissist contracts to under 1% for all errors of severity S0 to S2, and under 0.01% for S0 — the class that changes a business outcome you cannot take back.

Audit logs record access and changes across the system, giving a compliance reviewer a trail for what the agent did and when. This is the evidence base a security questionnaire asks for, and the reason an incident can be reconstructed rather than guessed at.

Aissist staff complete regular security and privacy training. The control set is only as good as the team operating it, and an AI platform does not change who holds the keys to the production environment.