Rodrigo Prado’s Post

Being most secure cloud #AWS have been consistently expanding its security horizon with end to end security services . AWS Security Lake gather and analyze security data from various sources, including AWS, multicloud, and on-premises systems. By centralizing this data in a single location, organizations can streamline data collection and analysis, help eliminate data silos, and improve cross-environment analysis. We have been helping customers to simplify the centralization of security data management across hybrid environments to enhance security analytics. What customers are getting ? 1. Analyze multiple years of security data quickly 2. Simplify data gathering and reduce the burden of data retention and extract, transform, and load (ETL) processes with key AWS data sources. 3. Gain a comprehensive, organization-wide grasp of their security posture across hybrid environments. 4. ranslating and transforming the data, as well as reconciling complex elements like IP addresses. However, with the implementation of Security Lake, IPG was able to access previously unavailable log sources. 5. Consolidate and effectively analyze security-related data and facilitate your security investigations with elevated visibility 6. Gain comprehensive insight into their security landscape, resulting in a significant improvement in their overall security posture. #Nextgenerationanalytics #securitybydesign

Databricks enhances Azure security, introducing a robust architecture to guard against data exfiltration. 🛡️🔒 Key highlights: - Integration with Azure for secure data handling within customer's virtual network. 🌐 - Deployment options including Microsoft and Customer managed VNet, with Private Link for added security. 🛠️ - Recommendations for a hub-and-spoke architecture to maintain data and network integrity. 🏗️ - Guidance on deploying Azure Databricks with secure cluster connectivity and Private Link. 🌉 - Azure Firewall and Private DNS zones utilization for comprehensive security measures. 🔥 For detailed insights, visit: https://lnkd.in/dQhE-gDU #Azure #Databricks #CloudSecurity #DataArchitecture

Many organizations still rely on legacy data discovery and classification technologies to secure their cloud data. These technologies were designed for on-premises environments, requiring significant operational overhead and lacking visibility into public cloud data stores. Additionally, they do not leverage AI for data classification, resulting in too many false positives. Legacy data security tools fail to meet the needs of today’s hybrid environments. Organizations now need a data security solution that secures all aspects of their data estate — including cloud, on-premises, and SaaS applications. To address these issues, many security leaders are turning to Data Security Posture Management (DSPM), which secures data across all infrastructures. Read more in this article by Daniel Suissa, Data Team Lead at Sentra👇

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

I remember projects where we spent 6 months to establish data lake for security analytics and end up having huge challenges . Now we are in era where we can setup security data lake in a day / Yes i am talking about #Amazonsecuritylake and encash benefits like: 1. Analyze multiple years of security data quickly 2. Centralize petabytes of data from cloud, on-premises, and custom sources 3. Simplify your compliance monitoring and reporting 4. Effortlessly centralize security data into one or more rollup Regions, making it easier to monitor and report on compliance. 5. Give your security teams broader visibility to initiate thorough security investigations and rapid response to security incidents. 6. Unify security data management across hybrid environments 7. Optimize data accessibility across your organization to facilitate a more comprehensive approach to security operations. its truely magical with immese usecases around : Enhanced threat detection and response scalable threat hunting and forensics regulatory compliance and audit readiness cross organizational security insights #AWS being single hyperscaler having security data lake offering has lot to deliver in security analytics space. Explore Security lake today ! https://lnkd.in/gTjVzeiE

Datadog Data Security detects sensitive data within your AWS S3 buckets and RDS instances and prioritizes fixing related security issues. Learn more: https://lnkd.in/eqJy3-DX

Amazon Web Services customers are using Amazon Macie to identify, monitor, and protect sensitive data stored in Amazon S3. Customers should evaluate and test Amazon Macies capabilities before relying on it. #aws #awscloud #cloud #amazonmacie #foundational100 #securityidentitycompliance #technicalhowto #dataprotection #datasecurityinvestigations #pci #phi #pii #securityblog #sensitivedatadiscovery

Found this on LinkedIn, a blog explaining, what is Microsoft Sentinel Architecture and Data Collection, link to a blog by Pooja Rawat, with more information. #Microsoft #Azure #AzureCloud #Cloud #CloudComputing #CloudSecurity #MicrosoftSentinel https://lnkd.in/eHEVwybQ

Where does your #data live these days? A) Cloud ☁️ B) On-prem 💾 C) Hybrid 🌐 With Splunk Federated Analytics, you don’t have to choose. Analyze data seamlessly across environments and make #security operations more efficient and cost-effective. Learn more on #SplunkBlogs. #SplunkSecurity

Amazon Web Services customers are using Amazon Macie to identify, monitor, and protect sensitive data stored in Amazon S3. Customers should evaluate and test Amazon Macies capabilities before relying on it. #aws #awscloud #cloud #amazonmacie #foundational100 #securityidentitycompliance #technicalhowto #dataprotection #datasecurityinvestigations #pci #phi #pii #securityblog #sensitivedatadiscovery