Strategy and governance
Define the principles, responsibilities, decision mechanisms and conditions of use for artificial intelligence.
AI governance and security
Frame AI so innovation stays responsible
Artificial intelligence is changing operations, decision-making and customer relationships. It also introduces new risks that must be identified, assessed and managed.
A durable AI strategy takes more than capable tools. It depends on clear responsibilities, rules of use, risk management and supervision suited to the organization.
Sunphinx supports organizations that want to structure their AI governance, secure how AI is used, and bring risk management into their technology strategy.
Where we help
Risk assessment
Identify risks related to data, privacy, security, reliability, bias, transparency and unauthorized use.
Generative AI security
Set controls for the risks of information disclosure, use of sensitive data, inappropriate access and manipulation of interactions with systems.
Policies and controls
Develop acceptable-use policies, security requirements, approval criteria and supervision mechanisms.
Vendor and solution governance
Structure the assessment of AI solutions, vendors and the risks associated with their use.
Compliance and continuous improvement
Align the governance framework with applicable requirements, the organization’s goals and how its uses evolve.
ISO/IEC 42001 and risk management
ISO/IEC 42001 provides a management-system framework for artificial intelligence. The NIST AI Risk Management Framework is also a relevant reference for identifying, assessing and treating risk.
The choice of frameworks depends on the organization’s maturity, its sector and the requirements that apply to it.
Our objective
Help your organization adopt AI with clearly defined responsibilities, better-understood risks and controls matched to how important each use is.