The United States is facing a cybersecurity crisis. In 2020, a hacker-initiated cyberattack affected over 14 technology firms in the country, spotlighting the growing number and complexity of malicious cyber actions on large computer networks. This event led the JPMorgan International Council to call for stricter cybersecurity measures among the public and the private sector. The council explained that criminal groups with vast resources can threaten critical infrastructure and undermine the economy and national security.
In the business landscape, cyberattacks can cost businesses millions in damages and lost revenue. The good news is that they can be mitigated with the right tools. Intelligent automation software can reduce the need for manual intervention and improve efficiency across your organization’s security processes. Below are three ways intelligent automation software can enhance your company’s cybersecurity efforts:
It enables your cybersecurity team to focus on higher-value tasks
The cybersecurity field is one of the fastest-growing industries in the world, with a job outlook of 35% in the next decade. It’s also one of the most time-sensitive fields with a growing range of threats, and this is being reflected in how universities are constantly evolving their cybersecurity programs. Contemporary cybersecurity degrees now focus on training students in analysis, problem-solving, and creativity, and follow a cutting-edge curriculum created by practicing cybersecurity experts. This ensures that graduates who enter the workforce can satisfy more complex assessments, such as identifying new breaches or creating mechanisms to prevent future attacks. As the frontlines of digital defense, these professionals should not be held back by tedious manual tasks. Fortunately, this is perhaps the most critical function of automation—it lets your cybersecurity team devote more time to strategic initiatives like threat modeling and creating incident response plans.
It automatically protects against malware and viruses
When it comes to malware and viruses, you can’t afford to take a passive approach. Instead, you must be proactive in detecting and protecting against these threats. By leveraging machine learning technology and predictive analytics, these solutions can proactively identify potential threats and block them before they cause damage. For example, if an employee receives an email with a file attached that appears suspicious or if a user starts downloading files from an unknown source, intelligent automation software will automatically scan them for malware or viruses before allowing any action on your network. This ensures that no matter what happens—whether you’re dealing with external actors or internal employees who don’t follow best practices—you’ll always have some level of protection in place. With the right automated intelligence solution, you can protect your network from attackers trying to infiltrate your systems or target vulnerable employees through malware or viruses.
It proactively performs cyber threat hunts
Cybercriminals constantly evolve their tactics and technology, and their threats come from all angles. CNBC reports that cybercriminals today are attacking in multiple forms—from ransomware and distributed denial-of-service to data breaches and other complex strategies. Through machine learning, intelligent automation software can adopt a predictive approach to detecting cyberattacks before they even come close to your computer network. By facilitating a predictive method for cybersecurity, automated software can provide insights into possible future events based on the collective database of cyberattack techniques. The result is enhanced preparedness for potential threats before they occur. The latest software can also tap resources such as open source and social media intelligence to hunt for emerging threats, track existing ones, and neutralize them before they strike. Through automation, companies can dispense the need to rely on manual hunting processes that can be both time and resource-consuming.
Written by: Diana Green