Mobile security and cybersecurity
The regulatory horizon of AI presents a complex challenge as laws and policies struggle to keep pace with the rapid growth of technology. While AI offers immense potential for innovation and advancement, it also introduces ethical, legal, and societal implications that require careful oversight. Striking the right balance between fostering innovation and ensuring responsible AI use remains a pressing issue, and the evolving regulatory landscape will play a pivotal role in shaping the future of AI. Achieving harmony between technological progress and effective governance will be essential to harness the benefits of AI while mitigating its risks.
Security in the regulatory environment is evolving rapidly. Policymakers and regulators face the challenge of creating strong public policy frameworks that embrace the benefits of AI while effectively addressing network privacy and security concerns. An illustration of this is the forthcoming Cyber Resilience Act in Europe.
Stakeholders need to be aware that due to the rapid changes, any policy frameworks should have flexibility to cater for future changes.
Recommendations on preparing for AI security:
To prepare for the secure use of AI, stakeholders should seek input from a variety of experts, internally and externally. The GSMA recommends engaging in the following three approaches;
- Collaboration: with professionals specialising in AI security, data privacy, and cybersecurity to comprehensively address the potential risks.
- Policy compliance: a robust security policy that covers the protection of AI systems and infrastructure from cyber threats. Legal and compliance departments play a critical role in developing AI policies to ensure compliance to fast-evolving laws, regulations, and industry standards; by assessing the legal implications of AI and security requirements.
- Security solutions: Implementing automated AI solutions to protect mobile networks holds significant potential for enhancing security measures, including network security. Integrating AI into network integrity operations, with oversight of collaborators and policy owners, plays a crucial role in fortifying mobile networks and protecting them against various security risks.