Type in your favorite search engine the term “companies data breach” and you will surely get surprised by the number of results regarding security breaches to companies of all sizes.
Unfortunately, attacks continue to increase. The theft of sensitive data and unauthorized intrusion into corporate systems is today a very lucrative business. On top of that, cybercriminals have become more unpredictable, making the challenge of keeping digital environments protected even greater.
So how can companies ensure the security of their systems? The answer is simpler than it sounds. It takes a combination of elements (including best practices, strategies, and well-designed tools) to shield a system from potential attacks. Among these elements, one of the most important resources companies can use is AI-driven automation.
We already know that AI can do wonders in fields such as medicine or building. Can you imagine what it can do for you and your company when it comes to keeping your data protected?
Don’t miss this interesting article we have prepared on this subject. Read on, and discover how automating cybersecurity with AI as the main tool can help you create much more robust security strategies.
What is cybersecurity automation about?
In the IT world, the term automation refers to the use of technology, in this case, software specifically, to generate instructions and reproducible processes that reduce the need for human intervention in computer systems. This type of software can perform tasks with minimal or no human intervention.
Automation is a key element in optimizing the IT environment and driving digital transformation, enabling IT teams to focus on tasks that require greater creativity and concentration.
Cybersecurity automation combines tools and processes to execute cybersecurity-related activities. These tools carry out routine tasks, which are repetitive and often time-consuming.
Tasks may include collecting and correlating data from different systems, and collaborating in the coordination of incident response and incident management life cycles.
This automation is made possible by artificial intelligence and Machine Learning, whose algorithms are designed to correlate data, make forecasts and make decisions.
Why is cybersecurity automation necessary?
Faced with the alarming increase in cyberattacks, the automation of cybersecurity, combined with machine learning, has positioned itself as one of the most effective tools to protect corporate systems.
This becomes more evident if we consider that:
- Threats are becoming increasingly complex and difficult to detect.
- Security teams continually face the difficulty of dealing with 24/7 security alerts.
- Thanks to a large amount of information handled by corporate systems, manually detecting an anomaly can be time-consuming. This is a great advantage for attackers.
In conclusion, the best way to optimize the work of security teams is through the automation of cybersecurity.
What are the main advantages that cybersecurity automation can bring to companies?
Greater efficiency
Cybersecurity automation helps security teams respond faster even with reduced staff. It also ensures the consistency, predictability and smooth execution of security operations. Finally, it helps reduce the amount of time needed to detect and manage any unauthorized intrusion.
Better use of human talent
This tool is also able to help security analysts become more proactive and innovative by allowing them to reduce the amount of time they spend discarding false positives and allowing them to focus on more complex threats.
Optimization of other tools’ performance
It also allows the security information provided by SIEM tools and advanced threat detection systems to trigger automatic intervention, thus applying a wide range of controls based on pre-established security policies. These controls can include, for example, device isolation and endpoint correction.
Behavioral Analytics
Thanks to AI and specifically to Machine Learning, the tools are capable of simultaneously processing and correlating millions of variables that will make it possible to determine abnormal traffic patterns in networks. In this way, the information assimilated by the machines can be used to identify suspicious behavior and prevent imminent attacks.
Compliance
Standardization of workflows and security processes facilitates compliance and auditing. It also makes it easier to apply new security standards in your digital environments.
In conclusion, cybersecurity automation represents the most effective step towards creating more robust security systems. This resource is not only capable of improving the way you analyze the data in your systems, but also allows the security team to improve their performance and increase their response time.
If you are already interested in starting the process of automating your company’s cybersecurity, we recommend that you start using advanced tools such as Rapid7 InsightIDR. This solution combines the best of SIEM software with Machine Learning; for more effective behavioral analysis to detect threats more quickly.
If you would like more information about this or any other high-performance security tool, don’t hesitate to contact us. At GB Advisors we offer you the best solutions; and we also put at your disposal a team of professionals who will help you step by step to implement and make the most of your tool.
