Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Manual secrets management costs organizations $172,000+ annually per 10 developers. Discover the hidden productivity drain, security risks, and how automation can recover at least 1.2 FTE worth of capacity.

Security teams struggle with too many alerts, incomplete asset inventories, and identity-based attacks that evade detection. The SANS 2025 ASM Survey confirms that Attack Surface Management (ASM) is critical for defense but incomplete on its own.

October 2025 brought disruptions across cloud infrastructure and retail sectors, exposing vulnerabilities in enterprise IT systems.

What makes you, you? Is it your physical representation, your memories, your choices, your relationships? In the physical world, identity is deep and layered. But online, all of that is stripped away. To a computer, you are not your story. You are a login. You are a password, a cookie, or a session. You are a code sent to your phone. That is the entire test of your existence in the digital realm. Which means if someone else holds those same fragments, the system will treat them as you.

In October 2025, Microsoft disclosed a critical remote code execution vulnerability (CVE-2025-59287) in Windows Server Update Services (WSUS), which enables unauthenticated attackers to gain full control over affected servers. WSUS is a central patch management tool in Windows environments, responsible for approving, distributing, and monitoring updates across corporate networks.

Cyber pranks have increased in the past few years. There is a fine line between playing a prank and harassing someone. People in the excitement of playing a prank often land themselves and others in trouble. On the other hand, some individuals harass others due to a dispute or revenge. On most occasions, victims narrowly escape the harassment against them, but sometimes, they pay severe consequences in the form of property damage, injury, or even death.

With the rapid adoption of AI and automation technologies, the automotive industry is experiencing a massive transformation. From autonomous driving tech to vehicles connected with cloud-based services, these innovations are reshaping how automakers and suppliers operate globally. However, these shifts have introduced new vulnerabilities, especially cyber risks, that need to be addressed.

As bots and agents start cryptographically signing their requests, there is a growing need for website operators to learn public keys as they are setting up their service. I might be able to find the public key material for well-known fetchers and crawlers, but what about the next 1,000 or next 1,000,000? And how do I find their public key material in order to verify that they are who they say they are? This problem is called discovery.

The way we interact with the Internet is changing. Not long ago, ordering a pizza meant visiting a website, clicking through menus, and entering your payment details. Soon, you might just ask your phone to order a pizza that matches your preferences. A program on your device or on a remote server, which we call an AI agent, would visit the website and orchestrate the necessary steps on your behalf.

The Internet is in the midst of one of the most complex transitions in its history: the migration to post-quantum (PQ) cryptography. Making a system safe against quantum attackers isn't just a matter of replacing elliptic curves and RSA with PQ alternatives, such as ML-KEM and ML-DSA. These algorithms have higher costs than their classical counterparts, making them unsuitable as drop-in replacements in many situations.