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Data Security

The latest News and Information on Data Security including privacy, protection, and encryption.

Data Exfiltration: Risks, Detection & Prevention Strategies

Companies today face a wide range of potential threats to digital security. From cyber attacks with malicious intent to internal threats from negligent employees, IT and security teams face remarkable challenges in the modern enterprise environment. Add to the equation that many companies now operate under a hybrid model in which some employees may use personal devices for work purposes, and it’s exceedingly complicated to establish ironclad security policies and incident response plans.
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Cloud computing - The first step to an effective data modernisation strategy

Many organisations realise the benefits that lie within the data they collect daily. This modern approach to data empowers businesses to leverage data for innovation and monetization while at the same time enhancing security and privacy. While this may seem like a conundrum as companies have traditionally buried their data deep into IT architecture to prevent it from being accessible, even by the employees, today it is possible to have the best of both. This process starts with the cloud.

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.

Falcon Data Protection Preventing GenAI Data Loss: Demo Drill Down

Though GenAI is a great productivity tool, many organizations risk losing sensitive data. CrowdStrike Falcon® Data Protection, part of the powerful CrowdStrike Falcon® platform, takes a modern approach in making GenAI safer for organizations. In this demo, see how easy it is to stop sensitive data from leaking into web-based GenAI tools like ChatGPT.