Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Why Human Risk Management is Key to Data Protection

Personal data is constantly being processed and transferred in numerous ways - whether in healthcare applications, store loyalty programmes, during purchases or while browsing online. With such a vast amount of personal data in circulation, the likelihood of errors occurring is heightened. It feels like almost every day we hear a story of another company being breached - with data being stolen by cybercriminals looking to steal an individual's identity, access accounts or commit fraud. Things are also getting easier for cybercriminals, thanks to technology advancements like generative AI assisting with more convincing phishing emails and deepfake content.

Advantages of Private LLMs - A Data Protection Perspective

In the busy domain of artificial intelligence (AI), the emergence of Private Language Model Models (LLMs) marks a pivotal development in addressing the escalating concerns surrounding data protection. As organizations harness the power of AI to glean insights and streamline operations, the need for safeguarding sensitive information has become more pronounced than ever.

Lessons learned from the Google trade secret theft indictment

On Wednesday, March 6th, 2024 the US Attorney’s Office of Northern California announced that a federal grand jury had indicted Linwei Ding on four counts of trade secrets theft. Ding was arrested in Newark, California and now faces up to 10 years in prison and a fine of $250,000. We did a deep dive into the indictment to understand what happened and help security leaders and practitioners apply lessons to their own information security practice. Read on to learn more!

Nightfall AI releases GenAI-powered Sensitive Data Protection for the enterprise

The modern enterprise relies on hundreds of SaaS apps, email services, generative AI (GenAI) tools, custom apps, and LLMs, which often contain sensitive data. For too long, security teams have been forced to patch together point solutions for coverage across these channels, increasing their workloads and creating opportunities for sensitive data to slip through the cracks. This is precisely where Nightfall’s single-pane-of-glass solution comes into play: With Nightfall Sensitive Data Protection.

OpenShift Security: How to Protect Your Kubernetes Environment

Kubernetes and its enterprise-level cousin, Red Hat OpenShift, have secured their spot as the platforms of choice when it comes to managing containerized applications at a large scale. However, these complex environments require maintaining top-level security. According to a recent survey, 80% of companies faced at least one cloud security incident in the past year. As OpenShift clusters grow more complex, the potential for vulnerabilities also increases, increasing the risk of exploitation.

Nightfall AI launches data encryption and sensitive data protection for emails

Did you know that 41% of breaches involve email? For threat actors, cloud email systems like Gmail and Microsoft Exchange are treasure troves for valuable internal information like PII, PCI, PHI, secrets, and credentials. In order to limit the blast radius of privilege escalation attacks, and to remain in compliance with standards like HIPAA, it’s essential for enterprises to protect thousands of emails per day.

Unstructured Data Protection: Securing Your Data On-Premises and in the Cloud

Businesses generate vast amounts of unstructured data daily. Securing this data is essential to prevent breaches, ensure compliance, and maintain business integrity. Unstructured data protection requires different strategies for on-premises and cloud environments. Strong security measures help organizations safeguard sensitive information, minimize risks, and prevent unauthorized access. Businesses face data leaks, regulatory fines, reputational damage, and financial losses without proper security.

Kheun Chan, Principal Security Architect at Iron Mountain on ensuring data flows only where it's supposed to

Welcome to our Data Security Innovators series, where we talk to security practitioners who are navigating the frontiers of security with novel processes and technologies. In this episode, we speak to Kheun Chan, Principal Security Architect at Iron Mountain. Iron Mountain is renowned as one of the world’s best secure information storage and management services, with 95% of the Fortune 1000 as customers of the company.

The Complete Guide to Data Detection and Response (DDR)

In the 21st century, the lifeblood of several multi-billion dollar corporations is the data of their users they possess and how they go upon it, whether it be including new policies benefitting the users of their platform, or finding more aspects of data they can take to their advantage to increase their profit margins ever so slightly? All of the above requires data in the baseline.

Introducing Linea AI: A revolutionary AI-first approach to data security

The AI revolution that kicked into overdrive last year has taken the world by storm, and as the development and productization of Large Language Models and other AI technologies continue – the revolution shows no signs of slowing down.