Automated Pen Testing Is Improving — Slowly
The rate of evolution has been glacial, but tools now understand cloud environments and can target Web applications.
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.
The rate of evolution has been glacial, but tools now understand cloud environments and can target Web applications.
Deal Brings Third-Party Data Ingestion, Risk Prioritization, Automated WorkflowsTenable has acquired Vulcan Cyber to bolster its exposure management strategy, integrating third-party asset data, AI-powered risk prioritization, and automated remediation workflows into Tenable One. The $150 million purchase aims to provide enterprises with a unified risk management platform.
Cryptojacking may be stealthy, but its impact is anything but. From inflated cloud bills to sluggish performance, it's a threat that companies can't ignore. Learn more from Pentera about how automated security validation can protect your org from these threats. [...]
Triaging and investigating alerts is central to security operations. As SOC teams strive to keep up with ever-increasing alert volumes and complexity, modernizing SOC automation strategies with AI has emerged as a critical solution. This blog explores how an AI SOC Analyst transforms alert management, addressing key SOC challenges while enabling faster investigations and responses