https://medium.com/@sanjay.mohindroo66/from-data-lakes-to-value-streams-building-data-products-that-matter-4fbd6b1c1ff2
Is your data a security risk?
Organizations are rapidly embracing AI and cloud transformation, resulting in massive data consolidation. But with increased data comes increased risk. Are your sensitive datasets secure, or are you unknowingly exposing your organization?
In this video, we dive into:
🔹 Why security and SIEM tools are driving the growth of data lakes
🔹 Hidden risks from shadow data and shadow IT
🔹 Practical asset management challenges and tips to reduce your risk
Watch now for data and asset management tips! https://youtu.be/jYkW1GHmzEE
#DataSecurity #DataLakes #ShadowData #CyberRisk #AssetManagement #SIEM #AIDataSecurity #LMGSecurity #DataBreach #DataGovernance #CloudSecurity #Varonis #Cybersecurity #Cyberaware #CISO
Security data lakes and data warehouses are repositories that enable organizations to store large amounts of security data — typically types not immediately required for search and analysis. Is it time for your org to build a security data lake strategy? 🏗️ Let's explore some of the important details about security data management. 👀
Read on to learn about data lake architecture, the benefits of using #security data lakes, some key strategy considerations, and a cost-effective solution to security data management. 💵 🔒 🙌
https://graylog.org/post/security-data-lake-strategy/ #datalakes #cybersecurity
"Data lakes have been around for years, and they may hold the key to efficient and effective #SIEMs by forcing behavioral changes based on economics." 💡
In this insightful article, #Graylog's Joshua Ziel explains what orgs need to know when it comes to how data and data storage affect cost and the resulting impact on their #cybersecurity strategy.
Wondering what the future might hold when it comes to the role of data lakes in #SIEM? Read on to find out. 📖
https://graylog.info/3Pm4aBu #security #datalakes
How behavior changes based on economics could hold the key to greater preparedness.
@briankrebs The best way to prevent #dataexfiltration when breached is not to collect or store unnecessary data in the first place. That makes many of the current spate of #databreaches avoidable, self-inflicted incidents for which large companies are never held accountable in any truly meaningful way.
You're spot on when you say that #databrokers rely on large #datalakes of sensitive data they don't need directly. They also rely on large data sets where any typical datum may be harmless in itself, but often becomes sensitive or dangerous when aggregated, and often exponentially more so when connected to intrinsically sensitive data such as #PII, #PHI, or identity.
Setting aside the financial incentives and lack of accountability for the data brokers, how do #businessleaders, #regulatoryagencies, and #electedpoliticians justify this state of affairs to you? It's not like the public and private sectors don't also have data they want to protect, so why allow this shadow industry to prosper? This seems even more mystifying when it's so clearly a double-edged sword even for the brokerages' paying customers!
Unlock the secrets of marketing data lakes! 🧐✨
- 🌊 A data lake can streamline your data handling.
- 🛠️ Improve analysis with unified data sources.
- 📈 Boost decision-making with enhanced insights.
Start transforming your data game today! 💪🔗🔍 #MarketingData #DataLakes #TechTips