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.
A new attack type, dubbed ConsentFix v3, has been circulating on hacker forums, building on the previous technique by adding automation and scaling potential. [...]
When a new asset goes live, attackers start scanning within minutes. Sprocket Security shows how automated attacks move from discovery to compromise in under 24 hours. [...]
While drivers race to shave off seconds on the track, the team's IT and engineering staff are speeding up how they deliver security.
The increase is being driven by powerful privacy laws in states like California, new interstate partnerships and a renewed focus on the privacy impacts of AI and automation. The post U.S. companies hit with record fines for privacy in 2025 appeared first on CyberScoop.