Lynne Murray’s Post

Just published: A guide on leveraging Microsoft Sentinel with Azure Log Analytics and Resource Graph for enhanced monitoring of Data Collection Rules (DCRs). Understand how to track and analyze DCR changes to bolster your cloud security posture. Read more - https://lnkd.in/ec2WT7cf #MicrosoftSentinel #Azure #CloudSecurity #DataCollectionRules #Cybersecurity

Data classification and labelling—ignore them at your peril!  Like building an extension without strong foundations, if you build a new home for or extend your data estate in the cloud, failing to invest in the foundations (data classification and labelling) is a false economy. In a recent blog post, our compliance expert exerts that data classification and labelling should be on your agenda for 2024. A challenge for getting budget sign-off can be demonstrating ROI. However, viewed with a slightly longer-term lens, the business benefits are obvious: ❗  Lower data storage costs  ❗  More robust threat protection ❗  Improved DLP and compliance ❗  Improved eDiscovery Data classification and labelling are integral to your wider information security, data management and data governance strategies. #TechThursdays #DataClassification #Lebelling #Foundations #ClousEssentials

Get immutable, air-gapped cyberthreat scanning of a fully replicated offline copy of your mission-critical data that is point-to-point, inbound and one-way. We enlist standard host- and network-based security tools managed according to best practices. Cyberthreat scanning adds machine learning analytics to find backup data corruption with up to 99.5% confidence, showing the highest level of care for risk mitigation. Rackspace Technology https://lnkd.in/ec6iQYE3

Snowflake Data Clean Rooms helps organizations preserve the privacy of their data: Snowflake introduced Snowflake Data Clean Rooms to customers in AWS East, AWS West, and Azure West, revolutionizing how enterprises of all sizes can securely share data and collaborate in a privacy-preserving manner to achieve high value business outcomes in the Data Cloud. The general availability follows Snowflake’s acquisition of data clean room technology provider Samooha, which was named one of the most innovative data science companies of 2024 by Fast Company. Samooha is now integrated … More → The post Snowflake Data Clean Rooms helps organizations preserve the privacy of their data appeared first on Help Net Security. #HelpNetSecurity #Cybersecurity

Snowflake Data Clean Rooms helps organizations preserve the privacy of their data: Snowflake introduced Snowflake Data Clean Rooms to customers in AWS East, AWS West, and Azure West, revolutionizing how enterprises of all sizes can securely share data and collaborate in a privacy-preserving manner to achieve high value business outcomes in the Data Cloud. The general availability follows Snowflake’s acquisition of data clean room technology provider Samooha, which was named one of the most innovative data science companies of 2024 by Fast Company. Samooha is now integrated … More → The post Snowflake Data Clean Rooms helps organizations preserve the privacy of their data appeared first on Help Net Security. @Poseidon-US #HelpNetSecurity #Cybersecurity

Developed by a team of visionaries, strategists, and developers from AWS, Google, Rubrik, Cohesity, Palo Alto Networks, and CrowdStrike, Bedrock Security is setting a new industry standard as the leading frictionless data security company. Read about the vision behind Bedrock and how it protects your data — via Help Net Security. https://lnkd.in/eJayzjqe #AI #cyberdefense #data #datasecurity #datasecurityposturemanagement #dspm #cloud #strategy #AIReasoning

Many organizations face problems developing timely and accurate insights since they're storing duplicate copies of the same data and spending excessive time and effort trying to govern, move and transform it for use. How have you handled this issue? Take a look at this Microsoft eBook examining how five organizations dealt with data problems and corrected them using unified cloud analytics.

Security and compliance are not just boxed items to check; they are pivotal in building trust and ensuring the integrity of our data-driven decisions. I came across a comprehensive guide that truly clarifies the complexities surrounding these crucial aspects within Snowflake. It offers actionable insights that cater to all levels of expertise, making it easier for users to strengthen their cloud environments. The lessons emphasize not only the importance of adhering to regulations but also promote a proactive approach to security best practices. These principles are vital, as they forge a reliable framework for innovation and collaboration in our developer community. If you're involved in data management or cloud technologies, it’s worth considering a refresh on your security strategies. What are your go-to practices for maintaining compliance in your projects? #DataSecurity #CloudCompliance #SnowflakeDevelopers #DataManagement #LearnTogether https://lnkd.in/giHhabb6

How to take your Sentinel Log Collection strategy to the next level.  In the ever-evolving world of cybersecurity, staying one step ahead of threats is not just a goal, but a necessity. This is where a robust SIEM (Security Information and Event Management) strategy becomes invaluable. But how can we manage the large amount of log volumes? This is where Azure Data Explorer and Event Hub come in—a dynamic duo that redefines the boundaries of what is possible in cybersecurity analytics. Azure Data Explorer is a lightning-fast service optimized for analysing large volumes of diverse data. This can be a game-changer for SIEM, offering unparalleled speed and efficiency in data analysis. Whether it's logs, traces, or web data, Azure Data Explorer processes and analyses it in real time, providing actionable insights faster than ever. Event Hub, on the other hand, is a highly scalable data streaming platform. It's designed to ingest and process large streams of data events, making it an ideal partner for Azure Data Explorer in handling massive amounts of security data. Together, they create a seamless data ingestion and analysis pipeline, ensuring that your SIEM strategy is proactive and reactive. Why is this combination a must-have for your Sentinel strategy? 1. Enhanced Real-Time Analysis: Immediate detection and response to potential threats become possible, minimizing the risk of significant impact. 2. Scalability and Flexibility: No matter the volume or velocity of your data, this setup scales accordingly, ensuring you are always covered. 3. Cost Efficiency: By optimizing the processing and analysis of data, companies can significantly reduce overhead costs associated with data management. 4. Avoid service barriers: KQL can be used to search through logs in Log Analytics, Event Hubs, and Data lakes.... Here is an exemplary structure: https://lnkd.in/e8dW8FV4 My Thoughts: Many companies connect sources with high log volumes directly to Sentinel. This often generates high costs and brings little added value. Log sources should be evaluated and, depending on the application purpose, the logs can be moved to a data lake and searched by ADX. PS: How are you leveraging Azure Data Explorer and Event Hub to revolutionize your SIEM strategy? Share your success stories and challenges! #CyberSecurity #EventHub #Sentinel #DigitalDefense #InfoSec

What is Policy Orchestration? Explore how Policy Orchestration simplifies the complexity of data access, security and governance to accelerate decision-making processes in the cloud. https://hubs.ly/Q02sDnLh0 #policyorchestration