Agentic AI,
Artificial Intelligence & Machine Learning,
Cloud Security
Beyond the Copilot Pilot: Insights from a CISO’s Perspective
This on-demand session provides critical insights into why numerous organizations find themselves stagnant in their Generative AI pilot projects. As tools like Microsoft Copilot make their way into professional settings, a myriad of security, governance, and data protection challenges emerge. This discourse was prominently led by Matt Locke, the Director of Sales Engineering at Varonis, alongside Charles Britz, the Group CISO at Langer Rooke. Together, they delved into practical considerations surrounding permissions, data exposure, compliance requirements, and the operational obstacles hindering the transition from limited pilot programs to more extensive and secure deployments.
The discussion specifically highlights several significant barriers that organizations commonly face in adopting Generative AI technologies. Coordination among legal, human resources, and data teams emerges as a pivotal factor in establishing robust governance frameworks for AI deployment. The insights reveal that proper classification, enhanced visibility, and effective incident response processes are vital prerequisites before scaling these technologies across the enterprise.
In this context, it’s essential to recognize the potential adversary tactics that could be applied, as outlined in the MITRE ATT&CK framework. Initial access might be achieved through techniques like phishing or exploitation of external-facing applications. Persistence could be maintained through mechanisms such as scheduled tasks or registry run keys, allowing attackers to remain undetected even after initial breach efforts. Furthermore, organizations must prioritize privilege escalation strategies, ensuring that only authorized personnel have access to sensitive data and systems, thus mitigating risk.
This exploration underscores the complex interplay of operational, strategic, and technical elements in successfully deploying Generative AI within corporate environments. As enterprises strive to leverage the benefits of AI technologies, navigating these challenges will require comprehensive approaches that integrate security considerations at every level.
As cybersecurity continues to evolve, keeping abreast of these dynamics becomes increasingly crucial for business owners. Understanding the threats and preparation needed in the wake of Generative AI’s rapid deployment will be paramount to safeguarding sensitive information and maintaining business continuity.
