Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

How PE Firm CFOs Can More Economically Manage Cyber Risks

‍ ‍ ‍Private equity (PE) firms are becoming increasingly attractive targets for cybercriminals. Malicious actors are keen to capitalize on the ecosystem's access to an incredibly extensive and diverse array of sensitive data, particularly susceptible during and after M&As, as well as the notoriously low cybersecurity measures in place among the smaller businesses that some PE firms chose to hold.

Remediation Over Ratings - Achieving Third-Party Cyber Risk Reduction

The most effective Third-Party Cyber Risk Management programs prioritize risk remediation as highly as risk identification. While Security Ratings Service (SRS) have long focused on risk identification, the burden of curation and remediation has traditionally fallen on the customer. Let's look at how best-in-class security programs achieve measurable cyber risk reduction through effective guided remediation.

Vulnerability Management Trends & SLAs: Risky Biz Podcast Episode

Nucleus Security co-founder and COO, Scott Kuffer, joined the Risky Biz News Podcast with host Catalin Cimpanu, for a discussion around trends Nucleus is observing when it comes to vulnerability management and how service level agreements (SLAs) have become a sign of an organization’s security health. In the podcast, Scott and Catalin discuss major trends of high performing vulnerability management programs for organizations using Nucleus’ platform, including.

Navigating NIS2 Requirements: Transforming Supply Chain Security

Talking to fellow CISO’s around the globe - and in particular Europe - the topic of cybersecurity regulations and compliance has taken on a new life. Most recently, the Network and Information Security (NIS 2) Directive is the latest regulation shaking up the region. NIS2 is much more than an update though—it's transforming the cybersecurity landscape of the EU.

Securing Vendor Risk Management Onboarding in 2024

Onboarding is perhaps the most precarious phase of the Vendor Risk Management process. A single oversight could expose your organization to dangerous third-party security risks, increasing your chances of suffering a data breach. This post explains how to bolster the most vulnerable access points of the vendor onboarding process to help you securely scale your VRM program.

A Guide to Vendor Risk Management Reporting in 2024

Vendor Risk Management encompasses a wide range of cybersecurity risk factors. As such, a VRM report design could range from highly detailed to concise, depending on the specific reporting requirements of stakeholders and the board. This list represents the most comprehensive scope of third-party risk management information to fit the broadest range of VRM reporting use cases.
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Generative AI: Productivity Dream or Security Nightmare

The field of AI has been around for decades, but its current surge is rewriting the rules at an accelerated rate. Fuelled by increased computational power and data availability, this AI boom brings with it opportunities and challenges. AI tools fuel innovation and growth by enabling businesses to analyse data, improve customer experiences, automate processes, and innovate products - at speed. Yet, as AI becomes more commonplace, concerns about misinformation and misuse arise. With businesses relying more on AI, the risk of unintentional data leaks by employees also goes up.

Vulnerability Management Modernization & FedRAMP: Resilient Cyber Podcast

Ever wonder how Nucleus got started? Curious to know what our CEO and co-founder Steve Carter is working on? You’re in luck. Steve joined host Chris Hughes on the Cyber Resilience podcast to talk about those topics and more. Additionally, Steve and Chris explored the process for earning FedRAMP authorization, some of the particular vulnerability management challenges government agencies are dealing with, and why risk-based vulnerability management resonates with the government community.

Deepfakes: The Next Frontier in Digital Deception?

Machine learning (ML) and AI tools raise concerns over mis- and disinformation. These technologies can ‘hallucinate’ or create text and images that seem convincing but may be completely detached from reality. This may cause people to unknowingly share misinformation about events that never occurred, fundamentally altering the landscape of online trust. Worse – these systems can be weaponised by cyber criminals and other bad actors to share disinformation, using deepfakes to deceive.