Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Data Protection

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.

The cubicle culprits: how in-office employees are leading the charge in corporate data exfiltration

In the wake of evolving work arrangements, the spotlight often falls on remote and hybrid employees as potential threats to data security. Yet, our latest research uncovers a surprising twist in the narrative. It’s the in-office employees, traditionally considered the safest bet, who are now leading the charge in corporate data exfiltration.

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.

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.