Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The BSides Seattle 2025 speakers showed how security and IAM fail under stress and why usable security must consider human limits and machine-scale risk.

AlphaPrivacy AI platform ensures compliance with GDPR, CCPA, HIPAA, and more, reducing compliance costs by up to 99.9% TORONTO, ONTARIO, CANADA, April 28, 2025 – Feroot Security, a leader in web application security and compliance, today announced the launch of AlphaPrivacy AI, an AI-powered platform designed to automate privacy compliance for enterprise websites and web applications.

The best security outcomes come from the intersection of security expertise and the ability to act based on risk levels. At Arctic Wolf, we are laser focused on security outcomes for the security leaders and teams across our solutions — Arctic Wolf Managed Detection and Response (MDR), Aurora Endpoint Security, Arctic Wolf Managed Risk, Arctic Wolf Managed Security Awareness , Arctic Wolf Incident Response, as well as risk transfer with the Arctic Wolf Security Operations Warranty.

The pace of innovation in generative AI has been nothing short of explosive. What began with users experimenting with public apps like ChatGPT has rapidly evolved into widespread enterprise adoption. AI features are now seamlessly embedded into everyday business tools, such as customer service platforms like Gladly, HR software like Lattice, and even social media networks like LinkedIn.

‍In the early days of cyber risk management, during which the responsibilities of a security and risk manager (SRM) were relatively siloed and limited in scope, leveraging a spreadsheet to maintain a cybersecurity risk register was a practical and widely accepted solution. At that time, the volume and complexity of cyber risks were much more manageable than they are today, making spreadsheets a convenient way to catalog them, prioritize mitigation activities, and track progress.

Here at Riscosity, our team is keenly aware of the ongoing rise of AI adoption that is taking the world by the storm. As a company whose mission is to help organizations gain control over their 3rd party data flows, it is only logical that our capabilities support AI as well. What better time than RSA to announce the latest AI-related innovation that Riscosity has released!

Muckwork is the invisible drag on every company. It’s the repetitive, manual, low-leverage work we tolerate because we assume it’s necessary. Copying data between systems. Triaging alerts. Clicking through approvals. Tasks that keep things running but slow everything down. In 2006, Jeff Bezos called the backend plumbing of web apps “muck.” AWS was created to eliminate it. Today, the same kind of work is everywhere in the enterprise. We call it muckwork.

One of the foundational security practitioners’ mantra “you can’t protect what you can’t see” has become a security gospel. As enterprises expanded from hundreds of physical assets to thousands of devices including ephemeral workloads, a troubling reality has emerged: visibility alone does not equal security. In this article.

New cybersecurity legislation is coming thick and fast. And for good reason: cyber threats are becoming more sophisticated, systems are becoming more connected, and geopolitical relationships are becoming more fraught. One of the most recent bipartisan legislations – the US Federal Contractor Cybersecurity Vulnerability Reduction Act of 2025 – is designed to modernize cybersecurity standards in the US and protect the country from threats.

What does it really mean to have a SIEM Without Compromise? For too long, security teams have been stuck in a no-win game—forced to choose between visibility and cost, detection breadth and team capacity, automation, and control. Every decision felt like a trade-off, with real-world consequences: dropped logs, missed alerts, and inconsistent response when it mattered most. With the Spring ’25 release of Graylog Security 6.2, we’re eliminating those compromises.