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

Prompt Sanitization: 5 Steps for Protecting Data Privacy in AI Apps

As Generative AI (GenAI) and Large Language Models (LLMs) become integral to modern apps, we face a critical challenge of protecting sensitive user data from inadvertent exposure. In this article, we’ll explore the importance of content filtering in LLM-powered apps, and provide strategies for its implementation. Looking for step-by-step tutorials on prompt sanitization for OpenAI, Langchain, Anthropic, and more? Skip down to the “Tutorials & further learning” section below.

Data classification: The fundamental requirement of successful DLP programs

The way we store data has undergone a dramatic shift. From good ol’ floppy disks to today’s cloud storage solutions, advancements in storage have slashed costs and allowed organizations to hold exponentially more data. And we are all taking advantage of this. In fact, data is proliferating at a staggering 25% annually. This presents a double-edged sword. On the one hand, this vast data lake holds immense potential for valuable insights.

Nightfall AI selected as 2024 SC Awards Finalist

Nightfall AI has been recognized as a 2024 SC Award finalist in the Trust Award categories for Best Data Security Solution and Best Insider Threat Solution. Celebrating its 27th year, the SC Awards recognize the solutions, organizations, and individuals that have demonstrated exceptional achievement in advancing information security.

PII vs PHI vs PCI: What is The Difference

In this age of digital supremacy, keeping our data safe and respecting privacy are super important. As more and more people and businesses use online platforms, it’s crucial to understand what types of data need that extra layer of protection, especially when it comes to PII vs PHI vs PCI. Understanding the distinctions between PII (Personally Identifiable Information), PHI (Protected Health Information), and PCI (Payment Card Information) is crucial.

How financial services companies discover, classify, and manage sensitive data with Datadog

As financial services companies, such as banks, hedge funds, and stock exchanges, move to the cloud, sensitive data often unintentionally moves with them. To help avoid costly breaches and address governance, risk, and compliance (GRC) requirements such as PCI-DSS, GDPR, and SOC 2, these organizations may need to identify where in the cloud sensitive data can leak and be able to redact it at scale.

The Problem with Disjointed Cloud Migration Journeys

Organizations start their cloud migration journey with high hopes for more speed, agility, and innovation. But often, these hopes fall short. Instead of achieving a seamless, cloud-powered enterprise, companies end up with fragmented cloud projects, data security risks, and unpredictable spending. This scattered approach can stall cloud initiatives and prevent organizations from fully benefiting from the cloud. Let’s take a look at some of the impacts and risks.

Enhanced Data Security and Regulatory Compliance With AWS Cloud + Protegrity

Protegrity is proud to partner with AWS, offering businesses like yours the integrations you need to start protecting data at the field level. With precision data protection through Protegrity and AWS, companies can start meeting regulatory compliance standards outlined with PCI DSS, GDPR, Nacha, or other compliance requirements. With regulatory compliance standards met, businesses can unlock opportunities in improved cloud migration, AI, advanced analytics, reputation management, and more. See how Protegrity’s data protection and partnership with AWS can take your organization to the next level.

Understanding Data Exfiltration Prevention

In an economy where securing data can mean the difference between success and failure, implementing proven data exfiltration prevention strategies is more critical than ever. According to a study conducted by IBM, a data breach can cost global organizations an average of nearly $5 million per incident. In addition to the financial ramifications, data theft can lead to lower customer trust, a loss of future revenue, and even potential lawsuits.

Essential Features to Look for in a Data Management as a Service Solution

Today, organizations face more data than ever. Efficient data management is vital for success and compliance. This is where Data Management as a Service (DMaaS) steps in. These data service solutions simplify data management. They allow businesses to manage data without big in-house setups. However, choosing the right DMaaS solution can be tricky. So, what should you look for? Here are the key features.

Strengthen Anti-Money Laundering (AML) Compliance: Protegrity Empowers Financial Institutions

The “Russian Laundromat” scheme is a notorious example of how complex and far-reaching financial crimes can be. Running from 2010 to 2014, this scheme funneled between $20 billion and $80 billion out of Russia, using a network of shell companies and global banks, many of which were based in Moldova and Latvia. This was not a small operation — it involved around 500 people, many of whom were wealthy Russians, and relied on thousands of transactions to launder the money.