Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

September 2024

Mastering Data Masking: Key Strategies for Handling Large-Scale Data Volumes

Masking large volumes of data isn’t just a bigger version of small-scale masking—it’s exponentially more complex. High-volume data masking introduces unique engineering challenges that demand careful balancing of performance, integration, accuracy, and infrastructure costs. In this blog, we’ll dive into the critical factors you must consider when choosing the right tool for large-scale data masking, helping you confidently navigate these complexities.

Data Security Best Practices for Cloud CRM Systems as Adoption Surges

For the past few years, the CRM market has witnessed steady growth and it is projected to reach $89 billion by 2024. Estimates are that this growth will continue into the foreseeable future. Essentially, CRM systems have come to stay and have become the backbone of many organizations. However, the bleak state of cybersecurity cuts across many industries, and CRM systems are equally vulnerable.

10 Essential Guidelines For Enterprise-Ready AI Solutions

AI-powered solutions are becoming increasingly prevalent in enterprise environments, leading to a new trend in procurement: the need for comprehensive AI governance frameworks. This shift reflects a growing awareness of AI-specific risks and the need for more granular controls. As the founder of Nightfall AI, a startup building AI models for data security, I've navigated hundreds of procurement cycles and observed a rise in AI-specific requirements.

How To Ensure Data Integrity

You can ensure data integrity in your organization by enabling data encryption, investing in a password manager, regularly backing up your data and implementing strict access controls. Data integrity ensures that your data is accurate and complete, meaning it hasn’t been changed, removed or stolen by an unauthorized user. Continue reading to learn why data integrity is important and how your organization can ensure your data is accurate, complete and consistent.

How to Safeguard Customer Data with a Secure POS System

Protecting customer data isn't just good business practice-it's essential. For small businesses, the point of sale (POS) system is often the first line of defense against data breaches. A POS system for small businesses needs to be efficient and secure. Let's dive into how you can safeguard your customers' sensitive information through a robust and secure POS system.

SaaS Security: Protecting Your Cloud-Based Applications and Data

Software as a Service (SaaS) has quickly become popular and has changed the way businesses work by making them more scalable, flexible, and efficient. Cloud-based apps are convenient, but they also come with the duty of keeping them safe from cyber threats. As more businesses move private data to the cloud, security for SaaS has become very important. This is because the data is vulnerable to risks like cyberattacks, data breaches, and unauthorized access.

Data Security Posture Management (DSPM) Solution | DSPM vs. CSPM

What is DSPM? Data Security Posture Management, or DSPM refers to the practice of assessing and managing an organization’s overall data security posture. It involves monitoring, evaluating, and continuously improving the effectiveness of data security controls and measures in place to protect sensitive information. What is Data Security Posture Management? It provides a holistic view of an organization’s data security status and helps identify vulnerabilities, gaps, and areas for improvement.

The states of data, Part 2: Why visibility is key for protecting data at rest

In part two of our blog series, The states of data, we’ll be discussing the various threats to sensitive data at rest in the form of a case study on Morgan Stanley’s data breach. Before we delve into that, let’s look at what data at rest is and see a few examples of data at rest in an organizational context.

Nightfall Named A Leader in Data Loss Prevention by G2

Data security leaders, take note: Nightfall has emerged as a frontrunner in G2's Fall 2024 reports, securing top positions in Data Loss Prevention Software, Data Security Software and Sensitive Data Discovery Software categories. This achievement reflects our unwavering commitment to excellence, as well as your trust in our AI-powered solutions. We extend our deepest gratitude to our valued customers and supporters, as your feedback helps us to drive innovation.

How to Prevent Data Exfiltration

When someone steals important information, usually with the intent of misusing it, the process is called Data Exfiltration. The information can be anything from your customers’ data and financial records to intellectual property. Data Exfiltration otherwise known as Data theft or data exportation refers to the unauthorized transfer of data from a computer or network.

Examples of Personally Identifiable Information (PII)

Some examples of Personally Identifiable Information (PII) include your phone number, email address, license plate number, birth date, Social Security number (SSN) and medical records. Many aspects of your identity can be considered PII, so it’s important to understand what they are and how to protect them. Continue reading to learn how you can protect your PII from falling into the wrong hands and how Keeper can help.

Nightfall AI Honored as Winner of the 2024 SC Awards

San Francisco, California, September 18, 2024 — Nightfall AI has been named a winner in the prestigious 2024 SC Awards. Nightfall has been recognized in the Best Data Security Solution and Best Insider Threat Solution categories, underscoring their team’s commitment to excellence and leadership in the cybersecurity industry. View the full list of 2024 SC Awards winners here.

AppSentinels Complements Data Security Products

We are in an era of unprecedented connectivity and data growth. Data is being created and shared at the fastest pace ever. Organizations are adding new APIs to facilitate faster exchange of data. For security leaders and practitioners, this presents new and daunting challenges with the massive volume of data and new pathways to oversee, new threats to stay ahead of, and regulatory complexities to navigate. Security leaders must maintain visibility of data, manage user access to data, and enforce strong security and privacy controls.

How To Use USB Blocking To Prevent Data Leaks

As digital threats evolve, safeguarding sensitive data has become more important than ever, especially for businesses using removable storage devices like USB drives. While these external devices boost productivity, they also increase the risk of data breaches if not properly managed. Unprotected peripheral ports serve as unguarded entry points for data thieves and malicious software, highlighting the critical need to secure these access interfaces.

Air Gap Backup: Enhancing Data Security

As cyber threats grow more complex, companies increasingly look for strong methods to protect their valuable information. Air gap backup has become an effective approach to improve data security and shield against various risks. This technique creates a separation between main data storage and backup systems, either physically or logically, which greatly reduces the chances of unauthorized access or data corruption.

Understanding Risks and Mitigation of Data Leakage: Protect Your Assets

Data is the new gold, and it needs to be kept safe just like gold. In this digital age, where data is easily shared and technology is always getting better, the risk of data leakage is very important for both businesses and people. Data leakage, which is when private information is shared without permission, can have serious effects, including losing money, hurting your image, and being sued.
Featured Post

Companies Aren't 'Owning' Their Data

With a rapidly developing threat landscape, an increase in high-profile data breaches, the introduction of new legislation, and customer tolerance for poor data handling at an all-time low, the stakes are high for companies to have robust cybersecurity in place. However, despite their best efforts, companies are often found to not be doing enough to protect their assets.

7 Examples of How AI in Data Security is Transforming Cybersecurity

AI in data security transforms how organizations protect sensitive information. Companies turn to artificial intelligence for robust defense mechanisms as cyber threats evolve. This cutting-edge technology analyzes vast datasets, identifies patterns, and responds to threats in real-time, surpassing human capabilities. From small businesses to large enterprises, AI-powered solutions guard against increasingly sophisticated attacks.

New archTIS Trusted Data Integration Solution for Structured Data

This week, during LandForces 2024 archTIS announced the launch of archTIS Trusted Data Integration, a new lightweight, fast, and agile solution for integrating, securing, and governing sensitive and classified structured data from multiple sources at scale and speed.

Why Standard Approaches to Cloud Data Security Fall Short

Prioritizing cloud security looks different for every business. However, many businesses migrating to the cloud rely on conventional data security methods, including built-in tools from cloud providers and ad hoc measures. Unfortunately, these traditional approaches often fall short, leaving critical gaps in protection and hindering true cloud-powered innovation. Ensuring secure cloud services are multifaceted, let’s dive deeper into the impacts, strategies, and solutions.

3 Essential Capabilities for Modern Cloud Data Protection

Businesses migrating to the cloud face a complex landscape requiring advanced cloud data protection measures. Conventional security approaches often fail to provide the needed flexibility and comprehensiveness for modern cloud environments. To truly harness the cloud’s power, businesses need three essential capabilities: unified control, federated protection, and comprehensive data protection mechanisms.

Secret Leaks: The Predominant Issue in Software Supply Chain Security

In today's rapidly evolving digital landscape, software supply chain security has emerged as a critical concern for organizations worldwide. Among the countless security threats, ‘secret leaks’ stand out as a predominant issue, posing significant risks to the integrity and confidentiality of software systems. This blog post delves into the intricacies of secret leaks, exploring why they are a pervasive problem and what steps can be taken to mitigate this threat.

5 Steps to Send An Encrypted Email in Gmail

These days, we use Gmail for everything from customer service to telehealth. Over time, your Gmail account might become a treasure trove of sensitive PII, PCI, PHI, and passwords that hackers can leverage. In fact, as of this year, just under half of all data breaches involve email. So, what can you do to protect your inbox? Enter: email encryption.

Detecting Data Exfiltration: How to Spot It and Stop It

Data is the backbone of all businesses as everything moves online. Effective data analysis helps businesses to predict future trends, identify any gaps, and understand customer behavior, bringing them ahead of their competitors. Other than being indispensable, data is also a sensitive asset because if found in the wrong hands, it can bring disastrous consequences for any organization.

What is PII Masking and How Can You Keep Customer Data Confidential

Personally Identifiable Information (PII) refers to any data that can identify an individual. In today’s digital world, protecting PII is crucial. As data breaches become more common, businesses must protect their sensitive information. PII masking plays a vital role in data security. It involves altering or hiding specific data elements to prevent unauthorized access. This practice is essential for companies that handle large volumes of customer data.

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.