Chapter 11. The Future of Attack Surface Management
The cybersecurity industry has transformed from isolated, siloed security operations to a more collaborative ecosystem where attack surface management is at the heart of business and security intelligence. Back in 2015, sharing threat intelligence was like pulling teeth—organizations guarded their security data like state secrets. Now, we’re seeing entire industry consortiums dedicated to intelligence exchange, recognizing that our collective security is stronger than our individual defenses.
Take the financial services sector, for example. Ron recently worked with a publicly traded FinTech company that created a shared threat intelligence platform where people anonymously contribute attack surface findings, vulnerability insights, and threat patterns. By pooling anonymized data, they could identify emerging threats faster and understand attack trends without needing decades of experience.
In this chapter, we will explore the future of ASM and how emerging technologies, such as artificial intelligence and machine learning, are set to transform our ability to predict, prevent, and respond to threats. Organizations that thrive will be those that view cybersecurity as a shared responsibility, breaking down the traditional walls of competition and secrecy. This means investing not just in technical infrastructure for threat sharing but in building trust, establishing clear governance frameworks, and creating incentive structures ...
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