As organizations rapidly embrace generative AI tools like Microsoft 365 Copilot to boost productivity and innovation, a critical question emerges: Is your data fully protected against today's accelerating and deepening threat landscape? The integration of generative AI tools (such as Microsoft 365 Copilot) into daily workflows brings unprecedented opportunities to enhance productivity. Yet equally unprecedented risks to your organization's most sensitive information.

‍ ‍Cyber risk quantification (CRQ) is the process of attributing numerical values to a cyber event's impact on an organization. When defined in financial terms, these values enable enterprises to assess and manage their cyber risks at the operational level.

We all know where vulnerability management fits into an overall security strategy; it provides the raw data that analysts use to figure out what’s wrong and what needs to be fixed. The problem is, traditional VM stops there – leaving analysts to do all the work. Today’s companies don’t have the luxury of doing that anymore. Experts are needed on the front lines, not vetting false positives, and VM solutions that deliver nothing but a data dump are on the road to becoming obsolete.

Hint: EASM by itself is a means, not an end. In the rapidly evolving landscape of cybersecurity, few innovations have shown as much early promise as External Attack Surface Management (EASM). Its core value proposition the ability to continuously discover, inventory, and monitor all internet-facing assets of an organization was compelling from the start. Yet, despite its utility and adoption across multiple cybersecurity disciplines, Gartner recently declared EASM an obsolete standalone product category.