Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Data Protection

Revolutionizing Security: The Impact of EV Fleet Management Solutions

The global rise of electric vehicles (EV) fleet management solutions is unstoppable. Driven by a global push for sustainability, research shows 71% of U.S. fleet managers are now looking to add electric vehicles to their fleets in 2024. With billions of dollars invested heavily by governments and organizations in electric vehicles and their supporting networks, key critical flaws have emerged. Electric vehicle charging software, stations, monitoring systems, and unsecured internet networks have become access points for multiple cybersecurity threats ranging from unauthorized access to EV vehicles and data breaches of customer private information.

How to Monitor and Protect Your Google Activity History

Imagine someone having access to all your documents, photos, and even your browsing history. It may sound like something out of 1984, but using Google’s products can be a nightmare for your privacy. Despite this, Google Drive has over 200 million active users choosing to store their files with Google. Although Google offers many features with Drive, Chrome, and YouTube, and more,this convenience comes at a cost—your privacy.

Microsoft Azure Red Hat OpenShift (ARO) and Trilio Data Protection: Uniting Cloud-Native Excellence

With the exponential growth of cloud adoption and the widespread shift to Kubernetes as the de facto orchestration platform, Red Hat OpenShift emerges as a leading solution. Coupled with the robust cloud infrastructure of Microsoft Azure, Red Hat OpenShift on Azure (ARO) is a managed service that offers OpenShift clusters on Microsoft Azure. It is jointly engineered and operated by Microsoft and Red Hat with an integrated support experience.

Protecting Customer Data: Key Principles Every Company Should Know

In the digital age, protecting customer data is a cornerstone of trust and reliability between a company and its consumers. As cyber threats loom larger and data breaches become more frequent, safeguarding sensitive information cannot be ignored. Companies that excel in data protection comply with stringent regulations and gain a competitive edge by building solid relationships with their customers.

Falcon Data Protection PCI Egress Prevention: Demo Drill Down

Malicious and accidental leakage of sensitive PCI data will result in compliance violations and regulatory fines for organizations. CrowdStrike Falcon® Data Protection, part of the powerful CrowdStrike Falcon® platform, takes a modern approach in stopping unauthorized PCI egresses in real-time. In this demo, see how easy it is to define data classifications and frictionless precedence-based rules that suit your business requirements to effectively stop PCI data loss.

5 Expert Tips for Protecting Your Enterprise's Sensitive Data

ICYMI, Nightfall recently launched a suite of enterprise DLP offerings including Data Exfiltration Prevention, Data Encryption, Sensitive Data Protection for SaaS and Email, and SaaS Security Posture Management (SSPM). To celebrate our new offerings, as well as our sixth birthday, we took a moment to gather insights from investors including Ryan Nece, Enrique Salem, Maynard Webb, Frederic Kerrest, and Kelvin Beachum Jr.

Nightfall was built on AI. Here's how we're advancing our mission to scale data protection in the enterprise.

Back in 2018, Rohan and I founded Nightfall on the belief that AI could make data leak prevention (DLP) better, faster, and more accessible to every enterprise. At the time, Rohan was a founding engineer at Uber Eats, and I was an investor at Venrock specializing in SaaS and security. From these respective vantage points, we could see that legacy solutions weren’t working, and could never keep up with the evolving threat landscape.

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.

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.