Ensuring the trust, security and global compliance required across the complex platform landscape.
Platform integrity now covers a wide range of privacy and security issues, from regulatory oversight to preventing inappropriate user content. Platform integrity goes well beyond compliance is becoming a powerful source of differentiation.
Operating within a complex and rapidly changing digital landscape requires responsive, dynamically evolving controls, processes and technologies to maintain trust.
Learn what areas of your platform may be at risk
To help assess at-risk platform functions, we created a diagnostic tool to easily identify areas for improvement.
LEARN MOREPlatforms face new risks and hidden threats every day. Responsible data use, privacy, fraud prevention and stopping abuse are all core business imperatives, and every leading platforms’ competitive advantage depends on meeting these objectives.
A complex digital landscape demands a coordinated approach to embed trust, security and global compliance across a platform’s operations.
In the face of rising scrutiny from consumers, media and regulators, platform companies must make integrity a critical business imperative.
Platforms can build integrity in their organization and core operations by bringing together leading technologies and human ingenuity.
Accenture provides a range of services to help clients deploy security, privacy, compliance, data protection and fraud mitigation strategies on their platforms.
Establish security architecture, tools and processes that ensure the security of the platform.
Create, maintain and grow trusted platforms for users, partners, regulators, governments and society.
Optimize operations and processes to drive integrity across the organization.
Learn how leaders get the best results from their cybersecurity technology investments and achieve higher performance.
Northeastern University and Accenture explore the development of effective and well-functioning data and AI ethics committees.
Northeastern professors Ron Sandler and John Basl provide a framework for creating a well-designed and effective AI and data ethics committee.
