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Explore the latest advancements and trends in information security automation. Stay ahead with cutting-edge cybersecurity automation news and insights.

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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.

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Every AI tool, workflow automation, and productivity app your employees connected to Google or Microsoft this year left something behind: a persistent OAuth token with no expiration date, no automatic cleanup, and in most organizations, no one watching it. Your perimeter controls don't see it. Your MFA doesn't stop it. And when an attacker gets hold of one, they don't need a password

Threat actors have been observed weaponizing n8n, a popular artificial intelligence (AI) workflow automation platform, to facilitate sophisticated phishing campaigns and deliver malicious payloads or fingerprint devices by sending automated emails

If you run security at any reasonably complex organization, your validation stack probably looks something like this: a BAS tool in one corner. A pentest engagement, or maybe an automated pentesting product, in another. A vulnerability scanner feeding an attack surface management platform somewhere else. Each tool gives you a slice of the picture. None of them talks to each other in any

Cybersecurity researchers have disclosed details of two now-patched security flaws in the n8n workflow automation platform, including two critical bugs that could result in arbitrary command execution

Security, IT, and engineering teams today are under relentless pressure to accelerate outcomes, cut operational drag, and unlock the full potential of AI and automation. But simply investing in tools isn’t enough. 88% of AI proofs-of-concept never make it to production, even though 70% of workers cite freeing time for high-value work as the primary AI automation motivation. Real impact comes

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