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What is the purpose of monitoring encrypted data in your data architecture?

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Data encryption is a vital technique to protect the confidentiality, integrity, and availability of your data in transit and at rest. However, encryption alone is not enough to ensure the security and performance of your data architecture. You also need to monitor your encrypted data to detect and prevent any threats, errors, or inefficiencies that could compromise your data quality, reliability, and usability. In this article, we will explain the purpose of monitoring encrypted data in your data architecture and some of the best practices and tools to do it effectively.

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Sagar Navroop

? Architect | ??????????-?????????????? | Technologist
Rajendra Gupta

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1 Why monitor encrypted data?

Monitoring encrypted data helps you to achieve several objectives in your data architecture, such as compliance, security, and performance. You can verify that your encryption methods and policies meet the standards and regulations of your industry, like GDPR, HIPAA, or PCI-DSS. Additionally, you can identify and respond to any breaches, attacks, or anomalies that could expose or damage your encrypted data. You can also track and manage your encryption keys, certificates, and access controls to prevent unauthorized or malicious access or use of your data. Furthermore, you can measure and optimize the speed, availability, and scalability of your encrypted data flows and processes. Finally, you can troubleshoot and resolve any issues or bottlenecks that could affect your data throughput, latency, or quality. All of these activities help demonstrate compliance and accountability while providing valuable insights for improving your cloud security posture.

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Sagar Navroop

? Architect | ??????????-?????????????? | Technologist
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Monitoring encrypted data in data architecture serves several crucial purposes. Encryption protects sensitive information from unauthorized access, ensuring compliance with data security regulations. Monitoring ensures encryption is consistently applied and keys are managed securely. Track metrics like encryption status, key usage, and access attempts to detect anomalies and potential security breaches. Benefits include early detection of security incidents and compliance violations. Challenges include complexity in managing encryption keys and potential performance overhead. For highly sensitive workloads, homomorphic encryption allows computation on encrypted data without decryption If on AWS; CloudWatch and KMS can help.

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Gurpreet Singh Arora

Principal Solution Architect (Data Fabric & Analytics) | Enabling Data-Driven Decisions | Ex-BookMyShow | Ex-TikTok
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Compliance & Security: Integrate data discovery with key management to ensure encrypted data is cataloged. Leverage automation to demonstrate adherence to regulations (e.g., DPDP,GDPR) for encryption practices. Security-wise, monitor access logs and utilize DLP/SIEM systems to detect suspicious activity and potential breaches. Performance: Use monitoring tools to track encryption/decryption times and optimize data flow for efficient processing. Balance performance with encryption strength based on data sensitivity.

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2 How to monitor encrypted data?

Monitoring encrypted data requires a combination of techniques and tools to collect, analyze, and visualize data metrics and events across your data architecture. Logging tools like ELK Stack, Splunk, or CloudWatch can be used to capture and store encryption-related logs from your data sources, pipelines, and destinations. Tracing tools like Zipkin, Jaeger, or X-Ray can be employed to track and visualize the path and performance of encrypted data across distributed systems and services. Alerting tools such as Prometheus, Grafana, or PagerDuty can be utilized to set and monitor encryption-related thresholds and indicators. This will enable you to query logs for incidents or anomalies, identify and optimize encryption-related delays, errors, or failures, as well as receive and respond to any encryption-related alerts or notifications that indicate a potential or actual problem or risk.

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3 What to monitor in encrypted data?

Monitoring encrypted data involves tracking and evaluating various aspects and dimensions of your data encryption, such as the type, level, and key used. You should assess the suitability and effectiveness of the encryption type for your data security and performance requirements. Additionally, you should check the level of encryption you apply to your data, such as field-level or file-level, to ensure consistency and completeness of coverage. When it comes to the encryption key, you should monitor its size, rotation, management, and storage to maintain security and availability. This will help prevent key compromise or loss.

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Rajendra Gupta

???????????????? ?????? ????????????????, ???????????????? ???????????????????????????? ?????????? || ?????????? ???????????????? ???????????? & ?????????????????????? ???????????? ????????????????????
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When monitoring encrypted data, focus on metadata, traffic patterns, behavioral analysis, threat intelligence, protocol analysis, endpoint activity, data loss prevention, and anomaly detection to detect and respond to security threats effectively.

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4 What are the benefits of monitoring encrypted data?

Monitoring encrypted data can bring several benefits to your data architecture, such as improved security, performance, and compliance. With enhanced security, you can reduce data security risks and costs while increasing data security confidence and reputation. Additionally, improved performance can help optimize efficiency across your data systems and services, as well as enhance data quality and reliability. Moreover, monitoring encrypted data can ensure compliance with industry and jurisdiction standards, demonstrating encryption compliance and accountability to regulators and customers.

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Rajendra Gupta

???????????????? ?????? ????????????????, ???????????????? ???????????????????????????? ?????????? || ?????????? ???????????????? ???????????? & ?????????????????????? ???????????? ????????????????????
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Monitoring encrypted data provides benefits such as threat detection, compliance adherence, anomaly detection, incident response support, performance optimization, policy enforcement, and forensic analysis, despite the encryption's security.

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5 What are the challenges of monitoring encrypted data?

Monitoring encrypted data can present some challenges in your data architecture, such as complexity, overhead, and privacy. Complexity can arise from a large and diverse data landscape with multiple encryption methods and tools. Overhead can include increased latency, reduced throughput, or higher costs. Privacy concerns may be raised if sensitive or personal data requires encryption. To address these issues, you may need to integrate and coordinate various monitoring techniques and tools to get a comprehensive view of your encrypted data. Additionally, you may need to adjust the monitoring frequency, granularity, and intensity to minimize the impact on performance and efficiency. It's also important to respect the privacy and consent of data subjects and owners by avoiding any unauthorized or inappropriate access or use of the encrypted data.

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6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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Satya Prakash
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Anomaly Detection and Threat Hunting: Identify Unusual Patterns: Monitor for unusual access patterns or attempts to access specific types of encrypted data. This can help identify potential insider threats or targeted attacks. Investigate Security Incidents: If a security incident occurs, data access logs related to encrypted data can provide valuable clues about the attacker's behaviour and the scope of the breach.

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SALMAN KHAN

AVP at Axis Bank | Business Intelligence, Data Engineering & Architecture | Doctoral Scholar in Business Administration & Analytics
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Monitoring encrypted data serves to do the below: - Detect Unauthorized Access: Identify breaches or unauthorized data access attempts. - Ensure Compliance: Verify adherence to data protection regulations and standards. - Maintain Data Integrity: Monitor for corruption or unauthorized alterations. - Performance Optimization: Assess encryption’s impact on system performance and adjust as needed. - Audit and Reporting: Provide evidence of security measures and compliance for audits. - Identify Anomalies: Spot unusual access patterns or data flows indicating potential security issues. - Continual Improvement: Inform ongoing security strategy and encryption practices enhancements.

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What is the purpose of monitoring encrypted data in your data architecture?

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6

1 Why monitor encrypted data?

2 How to monitor encrypted data?

3 What to monitor in encrypted data?

4 What are the benefits of monitoring encrypted data?

5 What are the challenges of monitoring encrypted data?

6 Here’s what else to consider

Data Architecture

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What is the purpose of monitoring encrypted data in your data architecture?

1

2

3

4

5

6

1 Why monitor encrypted data?

2 How to monitor encrypted data?

3 What to monitor in encrypted data?

4 What are the benefits of monitoring encrypted data?

5 What are the challenges of monitoring encrypted data?

6 Here’s what else to consider

Data Architecture

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