Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

‍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.

It is no secret that AI is advancing at a blistering pace for everyone – including cyber adversaries. The mainstream unveiling of generative AI in 2024 brought about the biggest disruption in computing since the microprocessor. AI solutions promise the world unprecedented levels of efficiency, speed, and automation. However, this seemingly utopian and disruptive technology is evolving more quickly than governance and regulations can keep pace and implement guard rails for use and adoption.

Fireblocks is now working with Calastone, the largest global funds network, to support Web3 connectivity within Calastone’s Tokenised Distribution solution, a first-of-its-kind solution enabling asset managers to tokenise any fund on Calastone’s network and distribute it across blockchains such as Ethereum and Polygon. Fireblocks is providing secure infrastructure components that enable integration with Web3-native distributors.