Patrick C Miller’s Post

Global Data Sovereignty: A Comparative Overview: Written by Thales.In a cloud-driven world where data is stored off-premises and distributed across global servers, the question of who controls data is complex. Maintaining control over data becomes increasingly crucial for businesses as data grows in value. This concern gave rise to the concept of data sovereignty, the principle that digital information is governed by the laws of the country in which it is stored. This principle addresses critical questions of ownership, protection, and thir...

Hashing vs. Encryption vs. Encoding 1. Hashing This is a one-way process used for data integrity verification. When you hash data, you get a unique string representing the original data. It's a one-way street; once you hash something, you can't get the original data back from the hash. This property makes it perfect for verifying if someone altered the data. If even one-bit changes in the original data, the hash changes dramatically. 2. Encryption This is the real deal when it comes to data security. It uses algorithms and keys to transform readable data (plaintext) into an unreadable format (ciphertext). Only those with the correct key can unlock (decrypt) the data and read it. This process is reversible, unlike hashing. Encryption is critical for protecting sensitive data from unauthorized access. 3. Encoding This is all about data representation. It converts data from one format to another, making it easier to interpret and display. Common formats: - Base64 - UTF-8 - ASCII Encoding does NOT provide security! It's for data transmission and storage convenience. One common use of hashing is for secure password storage. When you create an account or set a password, the system hashes and stores the password in the database. During login, the system hashes the provided password and compares it to the stored hash without revealing the password. Cre : @RaulJuncoV #short #growth

Encoding vs Encryption vs Tokenization. . Encoding, encryption, and tokenization are three distinct processes that handle data in different ways for various purposes, including data transmission, security, and compliance. In system designs, we need to select the right approach for handling sensitive information. 🔹 Encoding Encoding converts data into a different format using a scheme that can be easily reversed. Examples include Base64 encoding, which encodes binary data into ASCII characters, making it easier to transmit data over media that are designed to deal with textual data. Encoding is not meant for securing data. The encoded data can be easily decoded using the same scheme without the need for a key. 🔹 Encryption Encryption involves complex algorithms that use keys for transforming data. Encryption can be symmetric (using the same key for encryption and decryption) or asymmetric (using a public key for encryption and a private key for decryption). Encryption is designed to protect data confidentiality by transforming readable data (plaintext) into an unreadable format (ciphertext) using an algorithm and a secret key. Only those with the correct key can decrypt and access the original data. 🔹 Tokenization Tokenization is the process of substituting sensitive data with non-sensitive placeholders called tokens. The mapping between the original data and the token is stored securely in a token vault. These tokens can be used in various systems and processes without exposing the original data, reducing the risk of data breaches. Tokenization is often used for protecting credit card information, personal identification numbers, and other sensitive data. Tokenization is highly secure, as the tokens do not contain any part of the original data and thus cannot be reverse-engineered to reveal the original data. It is particularly useful for compliance with regulations like PCI DSS. -------- Source: ByteByteGo #systemdesign #coding #interviewtips

𝐔𝐬𝐢𝐧𝐠 𝐒𝐲𝐬𝐓𝐨𝐨𝐥𝐬 𝐃𝐚𝐭𝐚 𝐖𝐢𝐩𝐞 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐟𝐨𝐫 𝐏𝐈𝐈 𝐃𝐚𝐭𝐚 𝐄𝐫𝐚𝐬𝐮𝐫𝐞 𝐒𝐲𝐬𝐓𝐨𝐨𝐥𝐬 𝐃𝐚𝐭𝐚 𝐖𝐢𝐩𝐞 is a powerful tool designed to securely erase data, including personally identifiable information (PII), from various storage devices. Here’s how it can be effectively utilized in the data erasure process: 1. Comprehensive Data Wiping: SysTools Data Wipe ensures that all data, including PII, is completely erased from hard drives, SSDs, USB drives, and other storage media. This is crucial for organizations looking to protect sensitive customer information from unauthorized access. 2. Multiple Erasure Methods: The solution provides various data wiping methods, including DoD 5220.22-M, NIST 800-88, and Gutmann. These methods overwrite the data multiple times, making recovery virtually impossible, thereby enhancing data security. 3. Targeted Wiping: Users can select specific files, folders, or entire drives to wipe. This allows organizations to target only the areas containing PII, ensuring that sensitive data is permanently removed while retaining other necessary information. 4. User-Friendly Interface: The intuitive interface of SysTools Data Wipe makes it easy for users to navigate through the data erasure process. Organizations can efficiently implement data wiping protocols without requiring extensive technical expertise. 5. Compliance with Regulations: The tool aids organizations in adhering to data protection regulations, such as GDPR and India’s DPDP Act, by ensuring that PII is properly erased and cannot be recovered. This helps mitigate the risk of data breaches and legal penalties. 6. Verification and Reporting: After the wiping process, SysTools Data Wipe generates detailed reports that confirm the successful erasure of data. This provides organizations with documentation needed for compliance audits and internal reviews. 7. Secure Decommissioning: When devices are being decommissioned or repurposed, SysTools Data Wipe ensures that all PII data is securely erased, preventing any potential data leaks from disposed or reused hardware. 8. Integration with Existing Systems: The solution can be integrated into an organization’s data management processes, allowing for regular data wiping practices as part of data lifecycle management. By using SysTools Data Wipe, organizations can effectively manage their data erasure processes, ensuring that customer PII is securely and permanently removed, thereby enhancing data privacy and compliance. #dataprivacy #erasedata #righttoerase https://lnkd.in/djTTwn3B

🚀 Exciting Announcement! 🚀 We are pleased to share the release of the Initial Public Draft of NIST IR 8505: "A Data Protection Approach for Cloud-Native Applications." Date Published: June 14, 2024 Comments Due: August 1, 2024 Email Comments to: [email protected] Authors: Ramaswamy Chandramouli (NIST), Wesley Hales (LeakSignal) Overview: In today's microservices-based cloud-native environments, data security requires more than simple authorization. This draft presents a comprehensive framework for data categorization and real-time in-transit data analysis, leveraging the power of WebAssembly (WASM) for secure, high-performance data protection. Key Highlights: - Framework for categorizing and analyzing data access and leakage across protocols (e.g., gRPC, REST) - Techniques for in-transit data categorization using WASM - Strategies for effective data protection in multi-cloud, service mesh, and hybrid infrastructures Your insights and feedback are invaluable. Please review and provide your comments by August 1, 2024. For more details, visit the NIST website and check out the full draft. #DataProtection #DataFlow #CloudNative #Cybersecurity #NIST #WASM #DataSecurity #Microservices #ServiceMesh https://lnkd.in/eQapRYvn

Encoding vs Encryption vs Tokenization. . . Encoding, encryption, and tokenization are three distinct processes that handle data in different ways for various purposes, including data transmission, security, and compliance. In system designs, we need to select the right approach for handling sensitive information. 🔹 Encoding Encoding converts data into a different format using a scheme that can be easily reversed. Examples include Base64 encoding, which encodes binary data into ASCII characters, making it easier to transmit data over media that are designed to deal with textual data. Encoding is not meant for securing data. The encoded data can be easily decoded using the same scheme without the need for a key. 🔹 Encryption Encryption involves complex algorithms that use keys for transforming data. Encryption can be symmetric (using the same key for encryption and decryption) or asymmetric (using a public key for encryption and a private key for decryption). Encryption is designed to protect data confidentiality by transforming readable data (plaintext) into an unreadable format (ciphertext) using an algorithm and a secret key. Only those with the correct key can decrypt and access the original data. 🔹 Tokenization Tokenization is the process of substituting sensitive data with non-sensitive placeholders called tokens. The mapping between the original data and the token is stored securely in a token vault. These tokens can be used in various systems and processes without exposing the original data, reducing the risk of data breaches. Tokenization is often used for protecting credit card information, personal identification numbers, and other sensitive data. Tokenization is highly secure, as the tokens do not contain any part of the original data and thus cannot be reverse-engineered to reveal the original data. It is particularly useful for compliance with regulations like PCI DSS. -- Subscribe to our weekly newsletter to get a Free System Design PDF (158 pages): https://bit.ly/3KCnWXq #systemdesign #coding #interviewtips

Data sovereignty is a pivotal aspect of the evolving digital landscape. Adhering to these regulations requires robust data governance, compliance, and technological innovation. Explore navigating data sovereignty complexity with Joye Purser CISSP PhD: https://vrt.as/3WJw5Ac

Data sovereignty is a pivotal aspect of the evolving digital landscape. Adhering to these regulations requires robust data governance, compliance, and technological innovation. Explore navigating data sovereignty complexity with Joye Purser CISSP PhD: https://vrt.as/3WJw5Ac

Data sovereignty is a pivotal aspect of the evolving digital landscape. Adhering to these regulations requires robust data governance, compliance, and technological innovation. Explore navigating data sovereignty complexity with Joye Purser CISSP PhD: https://vrt.as/3WJw5Ac

Data sovereignty is a pivotal aspect of the evolving digital landscape. Adhering to these regulations requires robust data governance, compliance, and technological innovation. Explore navigating data sovereignty complexity with Joye Purser CISSP PhD: https://vrt.as/3WJw5Ac #Veritas #DataSovereignty