The cybersecurity landscape is constantly evolving, even more so in the past decade, with technological revolutions changing the core of the cybersecurity industry. With new emerging technologies, machine learning, security automation, and AI are slowly but surely becoming a reality in the cybersecurity world. But as the cybersecurity landscape continues and redefines the roles of security workers, which logically begs the question - what does this mean for security professionals?

Taking a proactive approach to threat hunting in cybersecurity is crucial, especially today when attacks are more stealthy and more complex than ever. What this means is that the olden ways of cybersecurity relying on time-consuming manual workflows are slowly becoming obsolete, and cybersecurity teams must be supported by active learning intelligence in their threat hunting processes.

Cybersecurity is a business issue, not just a technology issue, and it is no longer deemed as a luxurious investment but rather a necessary one. It’s been a long time coming, but companies are finally coming to terms with the seriousness of cyber threats. Cyber attacks are growing in complexity, and their unpredictable nature stimulated by the evolution of technology has prompted companies to significantly boost their cybersecurity budget.

The speed at which security operations are processed and data is consumed is moving at a dazzling pace. This is why flexibility, customizability, and user-friendliness are deemed as core pillars of next-gen security solutions. And it is exactly what Cloud SOAR’s Open Integration Framework is all about.

Today’s complex cyber threats leave no room for mediocrity. Security analysts must know who is attacking them, how the attacker gained access, what methods they used to infiltrate your systems, and what their next move might be. However, modern cyber threats leave no recognizable patterns in their behavior, making threat anticipation harder than ever. To boost their threat hunting capabilities, SOC teams must implement advanced technologies and strategic techniques.

In today’s fast-paced cyber threat landscape, it is not a question of IF but WHEN an organization is going to get breached. And in order to prepare in a preemptive manner, organizations should strive to minimize their attackers’ dwell time as much as possible. This is why metrics such as MTTR (Mean time to respond) and MTTD (Mean time to detect) have grown to be highly relevant in the cybersecurity industry.

Whether it’s because we’ve watched one too many sci-fi movies, or we’re just plain scared of the potential of AI, automation, and machine learning, many suggest that the dawn of automation is going to make humans obsolete in security operations.

As part of the move to the cloud, everything in the enterprise is being transformed—from infrastructure all the way to modern application development. Nowhere is this change more important than in the role of the CISO.

When it comes to cybersecurity automation, there is the persistent fear that security automation is here to replace humans. And while those fears are somewhat justified, the reality is that automation in security operations is meant to aid, not hinder security professionals. And with cyber threats evolving at a dazzling rate, cybersecurity automation is slowly becoming a necessity, rather than a luxury.

Modern, digital-first businesses rely on agile, optimized IT and security operations teams to effectively monitor and secure their complex applications, infrastructure and workflows that ultimately drive increased productivity and improved user experiences. Implementing a high-performance, end-to-end process to achieve these positive outcomes can be challenging as it oftentimes requires combining multiple data silos and technologies for different teams with contrasting roles and responsibilities.