Cybersecurity and AI - A CISO perspective

AI Compliance Expert

In a rapidly changing regulatory environment, cybersecurity leaders must balance innovation with compliance. As organizations increasingly leverage AI, adherence to data protection regulations like GDPR and CCPA becomes paramount. Cybersecurity protocols must evolve to ensure that AI models do not inadvertently exploit sensitive data or reinforce biases from training data. A proactive compliance strategy not only mitigates legal risks but also builds trust among stakeholders.

Cyber Risk Management Expert

The focus on third-party risk management represents a critical shift in cybersecurity strategy. Given the interconnectedness of supply chains and vendor ecosystems, breaches originating from lax third-party security can have devastating effects. Organizations must implement continuous monitoring, maintain clear communication with vendors, and develop robust incident response plans to prepare for potential breaches. The collaboration between CISOs and other executives is essential for fostering a culture of risk awareness across all levels of the organization.

Generative AI

Its applications in security can offer innovative solutions, but they also pose challenges in ensuring data integrity and compliance.

Third-Party Risk Management

It requires ongoing evaluation, as breaches from third-party vendors can severely impact organizations.

Data Privacy Regulations

Adhering to these laws is crucial for organizations using AI to manage user data.

Broadcom

The company actively integrates security features across its solutions, enhancing cybersecurity through technological advancements.

Mentions: 3

CN Rail

The company needs robust cybersecurity measures to protect its operational technology systems from threats.

Mentions: 3