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Steve Rog, our VP of Sales, discusses the shift in cybersecurity from perimeter protection to data security posture management (DSPM), which has gained momentum due to advancements in artificial intelligence and machine learning. DSPM offers a means of holistically addressing a company's data security and breaking down silos. AI and ML allow for accurately discovering, classifying, and identifying data risks. The author encourages businesses to prioritize data security by requesting a free Data Risk Assessment.

Pharma data faces a double dose of cyber threat. While profit-motivated actors continue to target pharma companies for monetizable data (last year, Industrial Spy offered to sell stolen Novartis data on the darknet for $500,000), nation-state-sponsored threat actors are also going after the pharma industry to score political points. The resulting cyber risk can be so vast that it is challenging to quantify. Case in point, Merck is still fighting billion-dollar court battles after some of its subsidiaries became a target for Russian state-backed cyber criminals in 2017.

Over the past few decades, many organizations have adopted data loss prevention (DLP) solutions to secure their sensitive data. This initially worked in the early days of the Internet, but the reality is that legacy DLP solutions can’t effectively prevent data loss in today’s cloud-first landscape.

Data is increasingly one of the most valuable assets of any modern-day business. As such, it is of utmost importance to secure it from attack and misuse. For security teams, awareness of what data the business manages, where it is located, and who has access to it is a significant challenge. Unfortunately, it is also a precursor for most data security technologies to function correctly, making it difficult or impossible to fully identify risk and take appropriate action.

Many of us already have tools and processes to secure personal information. The effectiveness of those solutions is pushed to the limit because compliance requirements around data evolve year after year. Some of the major US privacy laws go into effect this year including the California Privacy Rights Act (CPRA), Virginia Consumer Data Protection Act (VCDPA), and Colorado Privacy Act (CPA). These laws share similar themes when it comes to defining and securing data.

In this Q&A, Cyera and webinar guest Forrester discuss data discovery and classification, and the future of data security in the cloud era.

In today’s reality, data breaches are a daily occurrence. This only continues to prove that a data-blind approach is no longer an option. Here's how data security management is changing in 2023.

Cyera provides businesses with consistent visibility and a unified data security control plane.

Today’s a big day for everyone at Cyera. We’re excited to share that we’re launching the company with $60M in financing from Sequoia, Accel and Cyberstarts.