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Securing AI with Least Privilege

In the rapidly evolving AI landscape, the principle of least privilege is a crucial security and compliance consideration. Least privilege dictates that any entity—user or system—should have only the minimum level of access permissions necessary to perform its intended functions. This principle is especially vital when it comes to AI models, as it applies to both the training and inference phases.

How Product Security Helps To Protect Your Data at Egnyte

One of the critical challenges for organizations today is securing their data. Organizations must incur the cost associated with proper design, development, and maintenance of systems and their appropriate safeguarding and monitoring. One way to reduce and optimize these costs is to choose tools that operate in a Software-as-a-Service model. Choosing tools in such a model helps shift some of the responsibilities and costs to the vendor.

Firewalls for AI: The Essential Guide

As the adoption of AI models, particularly large language models (LLMs), continues to accelerate, enterprises are growing increasingly concerned about implementing proper security measures to protect these systems. Integrating LLMs into internet-connected applications exposes new attack surfaces that malicious actors could potentially exploit.

Security in the Digital Age: How Fax Apps Ensure Confidentiality and Compliance

Where data breaches and privacy concerns are rampant, ensuring the confidentiality and compliance of sensitive information is paramount. From healthcare to finance, legal to government sectors, organizations grapple with the challenge of safeguarding data while adhering to regulatory requirements. Amidst the plethora of communication tools available, fax applications emerge as stalwart guardians of security, offering a robust solution for transmitting sensitive information securely. In this article, we delve into the world of fax apps, exploring how they bolster confidentiality and compliance in the digital age.

Nightfall Named A Leader in Data Loss Prevention (DLP) by G2

Nightfall has been named a Leader in Data Loss Prevention (DLP), Sensitive Data Discovery, and Data Security in G2’s Spring ‘24 reports. We’d like to extend a huge thank you to all of Nightfall’s customers and supporters for making this possible. We’re also happy to acknowledge the Nightfall team’s tireless innovation, all in pursuit of helping customers to secure their sensitive data across SaaS apps, GenAI tools, email, and endpoints.

Why We Should Probably Stop Visually Verifying Checksums

Hello there! Thanks for stopping by. Let me get straight into it and start things off with what a checksum is to be inclusive of all audiences here, from Wikipedia : “A checksum is a small-sized block of data derived from another block of digital data for the purpose of detecting errors that may have been introduced during its transmission or storage. By themselves, checksums are often used to verify data integrity but are not relied upon to verify data authenticity.”
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Harnessing the value of data with data monetisation

Businesses around the globe are using new technologies to change the world. But this wouldn't be possible without the use of sensitive data such as Personal Identifiable Information (PII) and Protected Health Information (PHI) to drive advancements in personalisation and sophistication. However, if companies are using data that typically is associated with medical records and insurance claims, this bodes the question, is personal data secure?

How Much is Your Data Worth?

In a world full of subscriptions, the idea is that if you are not paying for something, you are the product. Companies such as Google, Facebook, and Twitter earn huge revenue by collecting your data and selling it to advertisers, giving them access to your personal information. In return, you may receive targeted advertisements on your feed. However, the disadvantages far outweigh the advantages.

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.