Aaron Shelmire’s Post

🥁 🎤 📰 𝐖𝐞 𝐬𝐚𝐯𝐞𝐝 𝐭𝐡𝐞 𝐛𝐞𝐬𝐭 𝐟𝐨𝐫 𝐭𝐡𝐞 𝐥𝐚𝐬𝐭!!! We haven't forgotten our Amazon Web Services (AWS) customers! We have some exciting news for you as you wrap up #awsreinvent conference! Thinking of integrating your data sources with AWS’s 𝐀𝐦𝐚𝐳𝐨𝐧 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐋𝐚𝐤𝐞 offering? We got you covered!  Let’s do a quick recap – Amazon Security Lake helps centralize data from all your data sources, 𝐡𝐨𝐰𝐞𝐯𝐞𝐫, if you’re planning to bring data from sources outside of AWS, 𝐲𝐨𝐮 will need to normalize them in OCSF format, 𝐛𝐞𝐟𝐨𝐫𝐞 you can integrate them as custom sources in the Amazon platform. Abstract Security seamlessly translates data from any data source, real-time into the OCSF (Open CyberSecurity Schema Framework) standard allowing easy integration with Amazon Security Lake. This allows you to connect any data source (not just AWS services) – hybrid cloud environments, SaaS solutions and even on-premises data sources without worrying about normalizing or optimizing it after storage. This integration plays a key role by allowing you to --  ⚠️ Remove noise with Abstract’s out-of-the-box filtering and aggregation before you pay for storing and querying it in Amazon Security Lake.  💢 Reduce the volume of data by letting Abstract optimize fields automatically.  🐞 Enrich data with live streaming threat intelligence before it is stored.  🚸 Migrate from any existing data lake into Amazon Security Lake with less operational burden.  👏 Utilize prebuilt easy to configure integrations to ingest from Syslog, HTTP, and API based data sources. Do all of this 𝐰𝐢𝐭𝐡𝐨𝐮𝐭 𝐧𝐞𝐞𝐝𝐢𝐧𝐠 a query language certification or code-experience, with Abstract’s easy to use, drag and drop model. Stay tuned and follow us for more exciting news! #AWS #AmazonSecurityLake #AWSReinvent

🐾Week 54: How to secure your data on AWS🐾 🤓 Protecting your data from unauthorized deletion is quite important, especially in times of social engineering progress powered by GenAI. Leveraging AWS cloud services can help with protecting your data from unauthorized access and deletes. Full post: https://lnkd.in/dYyZ-H_D __________ 💬 Anything you would like to add or ask? Let me know in the comments 🔔 If you like this post, you can follow me on Substack for more: https://lnkd.in/dMcCFRep #aws #awscommunity #data #machinelearning #mlops #security #architecture #newsletter

Amazon Web Services (AWS) just shared another security pattern about automating the ingestion and analysis of AWS security logs using Microsoft Sentinel. This pattern centralizes monitoring of AWS CloudTrail logs, Amazon CloudWatch Logs data, Amazon VPC Flow Logs, and Amazon GuardDuty findings into Microsoft Sentinel. If your organization uses Microsoft Sentinel as a security information and event management (SIEM) system, this helps you centrally monitor and analyze logs in order to detect security-related events. #AWS #CloudSecurity #MicrosoftSentinel #SIEM #AWSCloudTrail #AmazonCloudWatch #AmazonGuardDuty

🚀 Exciting news! Amazon CloudWatch has introduced support for AWS CloudTrail data event logging for the GetMetricData and GetMetricWidgetImage APIs. This enhancement enables customers to gain enhanced visibility into metric retrieval activity within their AWS account. It's a significant step towards ensuring security best practices and streamlining operational troubleshooting. #AmazonCloudWatch #AWS #CloudTrail #Security #OperationalExcellence 🌟

In our next webinar, discover how AWS OpenSearch can revolutionize your approach to data security and compliance. Register Now: https://buff.ly/49du7ec We'll discuss how to safeguard your data, meet regulatory requirements, and build a secure data environment. This is a must-attend for businesses prioritizing data security in their growth strategy. Amazon Web Services (AWS) AWS Partners AWS Events #ITTStar #aws #awspartner #Data #Datasafety #DataSecurity #AWSWebinar OpenSearch #AWSOpenSearch #dataanalysis #dataanalytics #analytics #predicitiveanalytics #security #compliance #business #growth #businessgrowth #businessstrategy #webinar

Discover and secure sensitive data on AWS. An introduction to Amazon Macie. https://lnkd.in/eA5r7rn8 #aws #amazon #cloudcomputing #data #security

My colleague Caragh and I wrote a new AWS blog post on "Safeguarding data exchange in government using AWS"! The secure and reliable transfer of citizen data between government agencies is paramount now more than ever. This post covers key considerations around data classification, velocity, consumption, and volume, and then dives into specific AWS service recommendations for on-demand, batch, and streaming data exchange use cases across agencies. The post offers prescriptive approaches to enhance your data sharing capabilities while maintaining the highest security standards. Check it out! https://lnkd.in/g4tba_eg #AWS #PublicSector #Data

Hey folks, I hope you are doing great today! Yesterday, I attended the AWS Summit Madrid 2024 to expand my knowledge of cloud security. I had the opportunity to see what various companies and providers are doing in the AWS environment related to this subject. However, there was one session that particularly caught my attention, and I decided to share it with you all. One of the areas where I've always thought Azure could be more efficient is in the storage of security data logs. I like workspaces and their data lake integration, but I'm not very comfortable with the data transformation process. Microsoft, don’t get me wrong—I still love Azure’s security tooling. 😁 But yesterday, I discovered AWS Security Lake, and I was truly impressed. This tool centralizes security data across AWS environments, on-premises, and cloud sources into a purpose-built data lake. What really stood out to me was that Security Lake has adopted the OSCF (Open Cybersecurity Schema Framework) as its standard format. This support normalizes and combines security data from AWS and a wide range of other security data sources. So far, that’s what we’ve discussed, but once the data is there, we can use Amazon Q to generate insights with generative AI faster and more effectively. I’m leaving some references about this here: https://lnkd.in/dwFU_Kqq https://lnkd.in/dbap6iXn In short, the event was excellent. I was able to broaden my horizons regarding another cloud provider, considering that I spend 80% of my time working and studying Azure, and I became more interested in discovering additional capabilities. Looking forward to the next one. Seeya 😀 #AWSSummitMadrid2024 #CloudSecurity #AWS #Azure #SecurityLake #Cybersecurity #OSCF #DataLake #CloudComputing #GenerativeAI #TechEvent #AWSvsAzure #ITSecurity #AmazonQ #TechInnovation #CloudProviders #TechInsights #TechReferences #SecurityTools #TechExploration #LearningCloudComputing

This pattern describes how to automate the ingestion of AWS security logs, such as AWS CloudTrail logs, Amazon CloudWatch Logs data, Amazon VPC Flow Logs data, and Amazon GuardDuty findings, into Microsoft Sentinel. If your organization uses Microsoft Sentinel as a security information and event management (SIEM) system, this helps you centrally monitor and analyze logs in order to detect security-related events. As soon as the logs are available, they are automatically delivered to an Amazon Simple Storage Service (Amazon S3) bucket in less than 5 minutes. This can help you quickly detect security events in your AWS environment #aws #awssecurity https://lnkd.in/d5dzZ4Sq

Safeguarding Your Data with AWS Glue: Exploring Encryption Best Practices https://lnkd.in/dkzEWHNB Amazon Web Services (AWS) #aws #awslambda #businesscompassllc