As a Research Distinguished VP, Jeremy D'Hoinne assists chief information security officers and their teams to develop strategies to leverage AI in cybersecurity and secure AI applications and agents.
Mr. D'Hoinne studies the intersection of artificial intelligence and cybersecurity with a focus on the disruptions caused by large language models and generative AI. This includes securing AI applications and AI agents, helping organizations manage the use of third-party AI applications by their employees.
As artificial intelligence is also a key area for cybersecurity, Mr D'Hoinne analyzes how the evolution of machine learning techniques and foundation models can positively impact cybersecurity programs and technologies.
Prior to joining Gartner, Mr. D'Hoinne has helped a network security vendor in creating a network firewall, mixing innovations with improvements, and garnering feedback of enterprises. He has defined several product lines and software versions, which provided his company with a strong roadmap and a valuable message supporting its technology.
Using his experience in penetration testing and R&D development, he has developed a set of zero-day protections against various network threats.
NETASQ, Director of Product, 6 years
NETASQ, R&D Security Engineer, 3 years
NETASQ, Security Watch Team Leader, 2 years
Security of Applications and Data
Security Operations
Cyber Risk
Master's degree in Engineering, Engineering - Network Security
Intersection of artificial intelligence and cybersecurity
Securing AI applications and AI agents
Integrating AI in cybersecurity roadmap
Continuous Threat Exposure management (CTEM) programs
Adversarial Exposure Validation programs