Supportsoft Glossary

AI Guardrails for Secure and Controlled AI Deployment

AI guardrails are parameters that define the routes, limits and controls that govern AI systems. The AI guardrails define the operation of the AI systems through policies, monitoring and IT controls; therefore, they ensure that security, compliance, accuracy and ethical standards are upheld.

For example, an organisation that implements guardrails will maintain both trust and reliability in the operation of their AI systems. The guardrails define and set limits on what the AI systems will do and what cannot be done. They restrict AI systems from accessing sensitive information, provide safeguards against unwanted behaviours and eliminate misuse of their AI solutions.

Amongst many tools that organisations can use to implement guardrails, guardrails may include `input validation`, `output filtering`, `role based access control`, `audit logs`, and continuous performance monitoring. The use of guardrails is a fundamental part of generative AI systems, and they can be used to limit the risk of receiving biassed responses, promote safety, and limit the publishing and dissemination of incorrect information.

Organisations can also be confident that by establishing strong Guardrails within the organisation, the AI solutions will adhere to both the organisation's policies and any respective regulatory requirements for that particular industries s represented. Additionally, guardrails offer organisations the ability to maintain consistency in how different user groups use AI solutions and have the same level of performance across all application types.