Keep Humans in the Loop in SOC Operations
Machine learning and automation can help free up security pros for higher-value tasks.
Explore the latest advancements and trends in information security automation. Stay ahead with cutting-edge cybersecurity automation news and insights.
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Background for this topic.
Automation in information security uses software to perform tasks like scanning for vulnerabilities, detecting threats, and enforcing policies without constant human intervention. It enables faster, consistent actions such as blocking malicious IPs or deploying patches based on predefined rules or machine learning models. This reduces manual effort and helps maintain security hygiene at scale.
However, automation can introduce risks if workflows are misconfigured or manipulated. Attackers may exploit automated responses to trigger false positives or disable protections, while errors in automation can propagate rapidly across systems. Security teams must carefully validate and monitor automated processes, balancing efficiency with oversight to prevent unintended consequences and maintain control over security operations.
Machine learning and automation can help free up security pros for higher-value tasks.
This Tech Tip outlines how system administrators can get started with automated continuous patching for their Windows devices and applications.
Businesses know they need to secure their client-side scripts. Content security policies (CSPs) are a great way to do that. But CSPs are cumbersome. One mistake and you have a potentially significant client-side security gap. Finding those gaps means long and tedious hours (or days) in manual code reviews through thousands of lines of script on your web applications. Automated content security
GitHub Actions and Azure virtual machines (VMs) are being leveraged for cloud-based cryptocurrency mining, indicating sustained attempts on the part of malicious actors to target cloud resources for illicit purposes