The Age of Generative AI in Cyber Exposure Management

The conversation around the use of artificial intelligence (AI) has become ubiquitous. When it comes to cyber exposure management platforms, what does AI truly bring to the table? This white paper aims to demystify AI’s role in enhancing cybersecurity measures by leveraging advanced technologies to address age-old problems in innovative ways.

Defining Generative AI

Generative AI refers to algorithms that can generate new content, predictions, and insights based on existing data. In the context of cyber exposure management, generative AI is not just a buzzword. It serves as the backbone for developing smarter, more efficient systems capable of handling complex cybersecurity challenges.

The Role of AI in Cyber Exposure Management

According to Armis Labs, the number of connected assets will grow to 50 billion by 2025. The vast majority of these connected assets remain unseen, unmanaged, and not secured. This is mostly because organizations are not aware of them and they are missed by traditional security solutions. This gap in visibility creates significant vulnerabilities that can be exploited by cyber attacks, which increasingly target government agencies, critical infrastructures, and healthcare organizations.

Download this white paper to learn how generative AI marks a groundbreaking leap in operationalizing cyber exposure management, transforming the way organizations tackle cybersecurity challenges.