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.
The generative AI space is changing quickly, and the flexibility, safety and security of DataRobot helps us stay on the cutting edge with a HIPAA-compliant environment we trust to uphold critical health data protection standards. We’re harnessing innovation for real-world applications, giving us the ability to transform patient care and improve operations and efficiency with confidence
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.
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.