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White Paper

Driving Efficiency in Cyberspace Through AI

The cybersecurity space faces a severe drought of skilled cybersecurity professionals, while cybercrime and cyberattacks are growing exponentially. In this environment, global organizations are facing a variety of challenges and the risks are growing every day.

The use of AI in cybersecurity allows organizations to detect, discover, predict, and respond to cyberthreats in real-time using machine and deep learning. AI automates manual and repetitive tasks that would otherwise be left for humans. This automation enables the security teams to focus time on critical investigations and scale their efforts without needing to scale their manpower.

Our white paper, Driving Efficiency in Cyberspace Through AI, dives deeper into the current state of AI in cybersecurity and explores the untapped opportunities for growth, efficiency, and advanced risk management.

Download the white paper to learn:

  • How AI can empower cyber missions to deliver on their promises
  • Which specific applications of AI can drive value for cybersecurity teams
  • How the DataRobot AI Platform is uniquely equipped to help cybersecurity teams improve their operational efficiency
DataRobot is an indispensable partner helping us maintain our reputation both internally and externally by deploying, monitoring, and governing generative AI responsibly and effectively.
Tom Thomas
Tom Thomas

VP of Data Strategy, Business Intelligence, & Analytics, FordDirect

The generative AI space is changing so fast but the flexibility, speed, and interoperability of DataRobot is helping us stay on the cutting edge. And, DataRobot’s team of GenAI experts have been true partners on our journey, helping us navigate the real concerns to apply generative AI in meaningful and safe ways.
Rosalia Tungaraza
Rosalia Tungaraza

Ph.D, AVP, Artificial Intelligence, Baptist Health South Florida

DataRobot provides us with innovative ways to test new ideas. Given a problem and a dataset, DataRobot allows us to generate multiple prototypes 20% faster. And the process facilitates the learning evolution of our data scientists.
Diego J. Bodas
Diego J. Bodas

Director of Advanced Analytics, MAPFRE ESPAÑA

The value of having a single platform that pulls all the components together can’t be underestimated. Then there’s the combination of the technology and the collaborative DataRobot team. If either one of those wasn’t there, I would have looked elsewhere.
Craig Civil
Craig Civil

Director of Data Science & AI, BSI