Integrating Cybersecurity Automation to Drive Business Innovation

In the modern digital transformation world, businesses seek to improve efficiency and productivity in all areas they operate. To do so, decision makers are increasingly leveraging digital and automation technologies to outpace their peers. However, this increased use of technologies also leads them to become vulnerable and put them at cyberattack point for malicious actors. Thus, to manage their growing assets on-premise and in the cloud, organizations will need to utilize automated cybersecurity management processes.

This automated cybersecurity can shield companies’ systems from cyber threats, without braking business innovation and performance. Its goal is to minimize the number of threats by abolishing vulnerabilities through the prevention of potential cyber threats and the identification of zero-day attacks.

Cybersecurity automation typically revolves around making data collection faster and more efficient; bringing AI and machine learning technologies and processes into the fold to enhance organizations’ analytic capabilities; and eradicating monotonous, time-consuming non-cognitive tasks. It also frees up security experts in information technology so they can pay more attention to higher-priority tasks.

Need for Cybersecurity Automation

Today, businesses are increasingly digitizing their operating models. As a result, this is affecting the very nature of the work they perform, they stay competitive, interact with their customers and their overall level of efficiency. With this increased organizational complexity, businesses can face significant risk if their cybersecurity approach cannot appropriately manage the varying environment.

For companies, it is also significant to understand their digital transformation activities as these activities can create an attack surface to compromise their networks. Most organizations check their systems and data manually to ensure and put away themselves from unexpected behavior and indicators of compromise or defect.

Automation can also assist in addressing ill-proportioned cybersecurity teams as they expand their footprint to a digital organization. According to the report, global spending over cybersecurity technologies is on the rise and is anticipated to value US$103 billion this year alone. Also, industry reports show that the AI cybersecurity market will exceed US$38 billion by 2026.

Approach to Cybersecurity Automation

Most of the security vendors see automation as a way to become more efficient and as a means to save in headcount, and to better envisage behaviors and implement protections faster. If implemented properly with the right tools, it can help to prevent potential cyberattacks. A large number of security vendors gather substantial amounts of threat data and it provides slight value if organized into an effective way that can be used for the next steps.

So, to perform this successfully, companies first need to glean threat data across all attack vectors and from security technologies within their own infrastructure. They then need to recognize threat groups that act similarly within the huge volume of data and use that to foresee the attackers’ next step. With this approach, businesses can get more accurate outcomes from the data collected and cut down the potential threats.

So, as modern cyberattacks have become heavily automated, organizations also need to defend these attacks using automated cybersecurity.