Keynote: Not all AI is created equal – Understand the Differences of AI/ML/DL for cybersecurity
Machine learning is a big step forward in combatting cyberattacks but is still no silver bullet. Many traditional cybersecurity solutions available today are causing huge operational challenges as they are inadequately defending against today’s complex and sophisticated threats. It has become increasingly evident that the solutions used to protect your company and its data need to work pre-emptively to prevent attacks, rather than just detect and respond to them. Fortunately, AI technologies are advancing, and deep learning is proven to be the most effective cybersecurity solution, resulting in unmatched prevention rates with proven lowest false positive rates. As you evaluate new technologies for your organization, understand the differences and benefits of Artificial Intelligence, Machine Learning, and Deep Learning.
Jonathan is a marketing and business development professional with extensive experience in the B2B tech industry, heading all the G2M and marketing activities for Deep Instinct.
He is responsible for defining, creating and implementing the Deep Instinct’s business and marketing strategy, thought leadership and roadmap. His role includes working closely with customers, helping them to devise strategies and business models for their organizations.
Before Joining Deep Instinct, Jonathan previously headed marketing for Amdocs Digital and Intelligence division. Before joining Amdocs, Jonathan worked in consultancy, specializing in business and marketing strategy.
Jonathan holds an MBA from Ben-Gurion University of the Negev and a B.Sc. in industrial engineering from Tel Aviv University.