AT&T Cybersecurity featured a dynamic cyber mashup panel with Akamai, Palo Alto Networks, SentinelOne, and the Cloud Security Alliance. We discussed some provocative topics around Artificial Intelligence (AI) and Machine Learning (ML) including responsible AI and securing AI. There were some good examples of best practices shared in an emerging AI world like implementing Zero Trust architecture and anonymization of sensitive data. Many thanks to our panelists for sharing their insights.

In today’s highly complex business landscape, enterprises are ever more aware of the need for robust governance, risk management, and compliance (GRC) capabilities. Hence the demand for effective GRC platforms has never been higher. These platforms not only assure that organizations stay on the right side of regulations. They also secure your business against a plethora of cyber threats and streamline governance processes.

In July 2023, the SEC adopted a new rule requiring disclosure of “material” cybersecurity incidents and detailed information on cybersecurity risk management, strategy and governance by public companies. With the new rule taking effect in December and annual reports due for public release and consumption in the first few months 2024, companies are scrambling to closely review and hone their cyber programs to address these new reporting requirements.

In the rapidly evolving landscape of artificial intelligence (AI), governance, risk, and compliance (GRC) professionals somehow need to navigate the increasingly complex challenges of trustworthy development, deployment, and monitoring of AI systems.

Cybersecurity has become a critical part of corporate governance, with board members increasingly held accountable for the digital safety of their organizations. Amid rising breach costs, new cybersecurity regulations like those from the U.S. Securities and Exchange Commission (SEC), and new studies finding widespread cybersecurity failures, the impact of board-level cyber governance decisions is significant.