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

Integrity and FIM: It's More than Just Data Security

Integrity is a vital component of any cybersecurity policy, making up one-third of the CIA Triad. However, until recently, the industry has had a limited understanding of the term, using it primarily in the context of data security. Integrity means so much more than this principle alone: it impacts every facet of an information system and can drive an organization's entire security program. Fundamentally, integrity ensures that no one tampers with your assets, whatever and wherever they may be.

Is over-focusing on privacy hampering the push to take full advantage of AI?

Customer data needs to be firewalled and if protected properly can still be used for valuable analytics In 2006, British mathematician Clive Humby declared that data is the new oil-and so could be the fuel source for a new, data-driven Industrial Revolution.

Ensuring Data Security with Acumatica ERP: A Comprehensive Guide for Midmarket Businesses

Acumatica's cloud ERP offers robust security features, protecting business data from modern cyber threats. With access controls, data encryption, and continuous monitoring, it ensures end-to-end security. For expert assistance in Acumatica ERP security, visit https://acupower.co.uk.

Credential Theft Protection: Defending Your Organization's Data

Cyber attacks often begin with reconnaissance. Before they launch an attack, threat actors poke and prod at an organization’s defenses, looking for vulnerabilities. If you’ve invested in robust cybersecurity solutions, you may feel you’re protected against that threat. But what if your attackers don’t target your corporate network? What if, instead, they target your employees? And what if your employees don’t even know they’re being targeted?

Pseudonymization vs Anonymization: Key Differences, Benefits, & Examples

When it comes to protecting personally identifiable information (PII), organizations have two main options: pseudonymization and anonymization. Both methods aim to prevent unauthorized disclosure of sensitive PII data, but they differ in their implementation, advantages, and regulatory implications. In this blog, we’ll explore the key differences between pseudonymization vs anonymization, their benefits, practical examples, and how to choose the best method for your organization’s needs.

How CASB and DLP Work Together to Safeguard Data

Cloud computing has changed the way we work, and mostly for the better. Widely available cloud applications let us create new documents, access our existing files, and communicate with our coworkers from just about anywhere. However, cloud computing has also created new data security and privacy concerns. A comprehensive CASB DLP policy can help address these concerns and keep your organization’s data exactly where it belongs.

Data Destruction: The Final Line of Defense Against Cyber Attacks

Data is the lifeblood of modern organizations, and while watertight data protection policies are undeniably crucial, the need for robust data destruction methods has never been more pressing. Ultimately, all parties and vendors in your supply chain trust you to maintain the integrity of their data. Once that data is no longer needed, transparency about its whereabouts is vital.

Volatile Data Acquisition on Linux Systems Using fmem

The content of this post is solely the responsibility of the author. LevelBlue does not adopt or endorse any of the views, positions, or information provided by the author in this article. Memory forensics is a critical aspect of digital forensics, allowing investigators to analyze the volatile memory of a system to uncover evidence of malicious activity, detect hidden malware, and reconstruct system events.

Nightfall's Firewall for AI

From customer service chatbots to enterprise search tools, it’s essential to protect your sensitive data while building or using AI. Enter: Nightfall’s Firewall for AI, which connects seamlessly via APIs and SDKs to detect sensitive data exposure in your AI apps and data pipelines. With Nightfall’s Firewall for AI, you can… … intercept prompts containing sensitive data before they’re sent to third-party LLMs or included in your training data.