Dear IT Auditors, Database Audit and Encryption Review Data is only as safe as the encryption that protects it. When encryption controls fail or are poorly implemented, even strong firewalls and access controls cannot stop data exposure. That’s why auditing database encryption processes is a key part of every IT and cybersecurity audit. 📌 Start with the Encryption Policy Begin by reviewing the organization’s data encryption policy. It should define which data must be encrypted, the standards to follow, and the roles responsible for managing encryption keys. Policies that lack detail often lead to inconsistent implementation. 📌 Encryption at Rest Verify that sensitive data stored in databases is encrypted at rest. Review configurations in tools such as Transparent Data Encryption (TDE) for SQL, Oracle, or cloud-managed databases. Ensure encryption algorithms like AES-256 are used rather than weaker ones. 📌 Encryption in Transit Data moving between applications and databases should be encrypted using secure protocols such as TLS 1.2 or higher. Auditors should test whether unencrypted connections (HTTP, FTP, or old JDBC strings) are still in use. Any plaintext transmission is a data leak waiting to happen. 📌 Key Management Controls Strong encryption is meaningless if the keys are weak or mishandled. Review how encryption keys are generated, stored, rotated, and retired. Confirm that keys are held in a secure vault or Hardware Security Module (HSM). Keys should never be hard-coded into scripts or shared via email. 📌 Access to Keys and Certificates Only a limited number of trusted individuals should access encryption keys. Review access lists for key vaults and certificate repositories. Each access should be logged and periodically reviewed. 📌 Backup Encryption Backups often contain full copies of production data. Verify that backup files and storage devices are also encrypted. If backups are sent to third parties or cloud storage, ensure that the same encryption controls are applied. 📌 Decryption and Recovery Testing Encryption isn’t complete without successful decryption. Review whether periodic recovery tests are performed to confirm that encrypted backups and databases can be restored correctly. Unrecoverable encryption is as dangerous as no encryption. 📌 Audit Evidence Key evidence includes encryption configuration files, key management procedures, access control lists for key stores, and decryption test reports. These show that encryption controls are both effective and maintained. Effective database encryption builds resilience. It ensures that even if an attacker gains access, the data remains unreadable and useless. Strong encryption is both a commitment to trust and a technical safeguard. #DatabaseSecurity #Encryption #CyberSecurityAudit #ITAudit #CyberVerge #CyberYard #DataProtection #RiskManagement #KeyManagement #DataGovernance #GRC #InformationSecurity
Cryptographic Security in Data Management
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Summary
Cryptographic security in data management refers to using advanced encryption techniques to protect sensitive information stored, transmitted, or processed by organizations. This helps ensure that only authorized users can access the data, even as new threats like quantum computers emerge.
- Adopt modern encryption: Use up-to-date cryptographic standards, such as post-quantum algorithms, to secure data both in storage and during transmission.
- Maintain cryptographic agility: Design systems so you can update and change encryption methods quickly, allowing you to respond to new security threats without major disruptions.
- Automate key management: Implement secure key management practices, such as using hardware security modules and regularly auditing access to encryption keys, to keep your data safe from unauthorized access.
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𝗗𝗮𝘆 𝟴: 𝗗𝗮𝘁𝗮 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗮𝗻𝗱 𝗣𝗼𝘀𝘁 𝗤𝘂𝗮𝗻𝘁𝘂𝗺 𝗥𝗲𝗮𝗱𝗶𝗻𝗲𝘀𝘀 In today’s hyper-connected world, data is the new currency and the perimeter, and it is essential to safeguard them from Cyber criminals. The average cost of a data breach reached an all-time high of $4.88 million in 2024, a 10% increase from 2023. Advances in 𝗾𝘂𝗮𝗻𝘁𝘂𝗺 𝗰𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴 further threaten traditional cryptographic systems by potentially rendering widely used algorithms like public key cryptography insecure. Even before large-scale quantum computers become practical, adversaries can harvest encrypted data today and store it for future decryption. Sensitive data encrypted with traditional algorithms may be vulnerable to retrospective attacks once quantum computers are available. As quantum technology evolves, the need for stronger data protection grows. Google Quantum AI recently demonstrated advancements with its Willow processors, which 𝗲𝗻𝗵𝗮𝗻𝗰𝗲𝘀 𝗲𝗿𝗿𝗼𝗿 𝗰𝗼𝗿𝗿𝗲𝗰𝘁𝗶𝗼𝗻 𝘂𝘀𝗶𝗻𝗴 𝘁𝗵𝗲 𝘀𝘂𝗿𝗳𝗮𝗰𝗲 𝗰𝗼𝗱𝗲. These breakthroughs underscore the growing efficiency and scalability of quantum computers. To address these threats, Enterprises are turning to 𝗮𝗴𝗶𝗹𝗲 𝗰𝗿𝘆𝗽𝘁𝗼𝗴𝗿𝗮𝗽𝗵𝘆 to prepare for Post Quantum era. Proactive Measures for Agile Cryptography and Quantum Resistance: 1. 𝗔𝗱𝗼𝗽𝘁 𝗣𝗼𝘀𝘁-𝗤𝘂𝗮𝗻𝘁𝘂𝗺 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀 Transition to NIST-approved PQC standards like CRYSTALS-Kyber, CRYSTALS-Dilithium, Sphincs+. Use hybrid cryptography that combines classical and quantum-resistant methods for a smoother transition. 2. 𝗗𝗲𝘀𝗶𝗴𝗻 𝗳𝗼𝗿 𝗔𝗴𝗶𝗹𝗶𝘁𝘆 Avoid hardcoding cryptographic algorithms. Implement abstraction layers and modular cryptographic libraries to enable easy updates, algorithm swaps, and seamless key rotation. 3. 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗲 𝗞𝗲𝘆 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 Use Hardware Security Modules (HSMs) and Key Management Systems (KMS) to automate secure key lifecycle management, including zero-downtime rotation. 4. 𝗣𝗿𝗼𝘁𝗲𝗰𝘁 𝗗𝗮𝘁𝗮 𝗘𝘃𝗲𝗿𝘆𝘄𝗵𝗲𝗿𝗲 Encrypt data at rest, in transit, and in use with quantum resistant standards and protocols. For unstructured data, use format-preserving encryption and deploy data-loss prevention (DLP) tools to detect and secure unprotected files. Replace sensitive information with unique tokens that have no exploitable value outside a secure tokenization system. 5. 𝗣𝗹𝗮𝗻 𝗔𝗵𝗲𝗮𝗱 Develop a quantum-readiness strategy, audit systems, prioritize sensitive data, and train teams on agile cryptography and PQC best practices. Agile cryptography and advanced data devaluation techniques are essential for protecting sensitive data as cyber threats evolve. Planning ahead for the post-quantum era can reduce migration costs to PQC algorithms and strengthen cryptographic resilience. Embrace agile cryptography. Devalue sensitive data. Secure your future. #VISA #PaymentSecurity #Cybersecurity #12DaysofCyberSecurityChristmas #PostQuantumCrypto
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🔑"𝐇𝐚𝐫𝐯𝐞𝐬𝐭 𝐍𝐨𝐰, 𝐃𝐞𝐜𝐫𝐲𝐩𝐭 𝐋𝐚𝐭𝐞𝐫" (𝐇𝐍𝐃𝐋) attacks intercept RSA-2048 or ECC-encrypted files, stockpiling them for future decryption. Once a powerful quantum computer comes online, they can unlock those archives in hours, exposing years’ worth of secrets. This silent threat targets everything from personal records to diplomatic communications. 🔐 📌 HOW CAN CYBERSECURITY LEADERS AND EXECUTIVES PREPARE? 🎯🎯𝐁𝐮𝐢𝐥𝐝 𝐂𝐫𝐲𝐩𝐭𝐨𝐠𝐫𝐚𝐩𝐡𝐢𝐜 𝐀𝐠𝐢𝐥𝐢𝐭𝐲: Ensure your systems can swiftly swap out cryptographic algorithms without extensive re-engineering. 𝐂𝐫𝐲𝐩𝐭𝐨-𝐚𝐠𝐢𝐥𝐢𝐭𝐲 𝐢𝐬 𝐭𝐡𝐞 𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐭𝐨 𝐫𝐚𝐩𝐢𝐝𝐥𝐲 𝐭𝐫𝐚𝐧𝐬𝐢𝐭𝐢𝐨𝐧 𝐭𝐨 𝐮𝐩𝐝𝐚𝐭𝐞𝐝 𝐞𝐧𝐜𝐫𝐲𝐩𝐭𝐢𝐨𝐧 𝐬𝐭𝐚𝐧𝐝𝐚𝐫𝐝𝐬 𝐚𝐬 𝐭𝐡𝐞𝐲 𝐛𝐞𝐜𝐨𝐦𝐞 𝐚𝐯𝐚𝐢𝐥𝐚𝐛𝐥𝐞. Designing for agility now will let you plug in PQC algorithms (or other replacements) with minimal disruption later. 🎯𝐈𝐦𝐩𝐥𝐞𝐦𝐞𝐧𝐭 𝐇𝐲𝐛𝐫𝐢𝐝 𝐂𝐫𝐲𝐩𝐭𝐨𝐠𝐫𝐚𝐩𝐡𝐲: Do not wait for the full PQC rollout. 👉 𝐒𝐭𝐚𝐫𝐭 𝐮𝐬𝐢𝐧𝐠 𝐡𝐲𝐛𝐫𝐢𝐝 𝐞𝐧𝐜𝐫𝐲𝐩𝐭𝐢𝐨𝐧 𝐍𝐎𝐖! Combine classic schemes like ECDH or RSA with a post-quantum algorithm (e.g. a dual key exchange using ECDH + Kyber). 🎯𝐌𝐚𝐢𝐧𝐭𝐚𝐢𝐧 𝐚 𝐂𝐫𝐲𝐩𝐭𝐨𝐠𝐫𝐚𝐩𝐡𝐢𝐜 𝐁𝐢𝐥𝐥 𝐨𝐟 𝐌𝐚𝐭𝐞𝐫𝐢𝐚𝐥𝐬 (𝐂𝐁𝐎𝐌): 👉𝐈𝐧𝐯𝐞𝐧𝐭𝐨𝐫𝐲 𝐚𝐥𝐥 𝐜𝐫𝐲𝐩𝐭𝐨𝐠𝐫𝐚𝐩𝐡𝐢𝐜 𝐚𝐬𝐬𝐞𝐭𝐬 𝐢𝐧 𝐲𝐨𝐮𝐫 𝐨𝐫𝐠𝐚𝐧𝐢𝐳𝐚𝐭𝐢𝐨𝐧: algorithms, key lengths, libraries, certificates, and protocols. A CBOM provides visibility into where vulnerable algorithms (like RSA/ECC) are used and helps prioritize what to fix. 🎯🎯𝐀𝐥𝐢𝐠𝐧 𝐰𝐢𝐭𝐡 𝐍𝐈𝐒𝐓’𝐬 𝐐𝐮𝐚𝐧𝐭𝐮𝐦 𝐌𝐢𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐑𝐨𝐚𝐝𝐦𝐚𝐩: Follow expert guidance for a structured transition. 𝐓𝐡𝐞 𝐔.𝐒. 𝐠𝐨𝐯𝐞𝐫𝐧𝐦𝐞𝐧𝐭 (𝐂𝐈𝐒𝐀, 𝐍𝐒𝐀, 𝐚𝐧𝐝 𝐍𝐈𝐒𝐓) 𝐚𝐝𝐯𝐢𝐬𝐞𝐬 𝐞𝐬𝐭𝐚𝐛𝐥𝐢𝐬𝐡𝐢𝐧𝐠 𝐚 𝐪𝐮𝐚𝐧𝐭𝐮𝐦-𝐫𝐞𝐚𝐝𝐢𝐧𝐞𝐬𝐬 𝐫𝐨𝐚𝐝𝐦𝐚𝐩, starting with a thorough cryptographic inventory and risk assessment. Keep abreast of NIST’s PQC standards timeline and recommendations. National Institute of Standards and Technology (NIST) #𝐇𝐍𝐃𝐋 Cyber Security Forum Initiative #CSFI 🗝️ Now is the time to future-proof your encryption! 🗝️ 𝑌𝑜𝑢 𝑠ℎ𝑜𝑢𝑙𝑑𝑛'𝑡 𝑎𝑠𝑠𝑢𝑚𝑒 𝑡ℎ𝑎𝑡 𝑦𝑜𝑢𝑟 𝑑𝑎𝑡𝑎 𝑖𝑠 𝑠𝑒𝑐𝑢𝑟𝑒 𝑗𝑢𝑠𝑡 𝑏𝑒𝑐𝑎𝑢𝑠𝑒 𝑖𝑡 𝑖𝑠 𝑒𝑛𝑐𝑟𝑦𝑝𝑡𝑒𝑑...
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I'm delighted to share this update on the SEQUESTERED ENCRYPTION (SE) project. SE is a full-spectrum data privacy technology that supports, in one programmer-friendly package, encrypted computation (like FHE), verified computation (like ZKP), and safe disclosures. I am attaching a presentation I gave this week in the privacy-enhanced technology (PETs) class I am teaching this semester. The SE project is a collaboration between UM, Agita Labs, AAiT, Princeton, NYU, and Intel Labs. The SE data privacy technology centers on the SE Enclave, a 190k-gate software-free enclave that extends a CPU to support cryptographically secure *encrypted computation* that programmers and IT staff cannot see. SE computation is PROOF-CARRYING VERIFIED COMPUTATION, such that any value computed attests to how it was computed, allowing data owners to verify that shared data is only used as they allow. In addition, data owners can supply the SE enclave that allows pre-approved computation results to be SAFELY DISCLOSED if those results can be proven to be computed as agreed. The security profile of the SE enclave is exceptional. SE computation is cryptographically secure against software and hardware hacking. SE is not vulnerable to any known form of software hacking (since software can only see ciphertext), and any data or dataflow manipulation will be immediately detected by the verified computation. Data disclosures are only permitted once the computation result is cryptographically proven to be from a pre-approved computation. The SE enclave has been red-teamed in collaboration with DARPA and In-Q-Tel for three months with zero vulnerabilities detected. Additionally, a complete end-to-end formal security verification of the design was published with Princeton in an award-winning research paper. Sequestered encryption has been commercially deployed by Agita Labs in the Amazon AWS and Microsoft Azure clouds. A reduced-capability software-only version of sequestered encryption is available in the KEVLAR library (https://lnkd.in/dFHGkMMB). And an ongoing project with @nyu and @intel is working toward an integration of SE and FHE technologies that will provide consumer-grade and military-grade secure computation in a single enclave. Here are the presentation slides. To learn more about SE, there is a full bibliography at the end of the presentation: https://lnkd.in/dZN8uwuD To learn more about the commercial version of SE, please visit Agita Labs (http://agitalabs.com), or reach out to me. #privacy #cryptography #fhe #security #computerarchitecture #hardwaresecurity
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In August 2024, the National Institute of Standards and Technology (NIST) finalized three encryption standards designed to protect data against potential threats from quantum computers. These standards are part of NIST’s ongoing efforts to develop cryptographic solutions resilient to quantum attacks, ensuring that sensitive information remains secure in a future where quantum computers could break traditional encryption methods. Summary of the Three Finalized Post-Quantum Encryption Standards: 1. FIPS 203: Module-Lattice-Based Key-Encapsulation Mechanism (ML-KEM) • Purpose: Designed for general encryption tasks, such as securing data exchanged over public networks. • Algorithm: Based on the CRYSTALS-Kyber algorithm, now referred to as ML-KEM. • Advantages: Offers relatively small encryption keys for efficient key exchange and operates with high speed. 2. FIPS 204: Module-Lattice-Based Digital Signature Algorithm (ML-DSA) • Purpose: Secures digital signatures, ensuring the authenticity and integrity of digital communications. • Algorithm: Uses the CRYSTALS-Dilithium algorithm, now called ML-DSA. • Advantages: Provides strong security for identity authentication and signing digital transactions. 3. FIPS 205: Stateless Hash-Based Digital Signature Algorithm (SLH-DSA) • Purpose: Another approach for securing digital signatures, serving as an alternative method. • Algorithm: Utilizes the Sphincs+ algorithm, now named SLH-DSA. • Advantages: Based on a different mathematical approach compared to ML-DSA, designed as a backup in case vulnerabilities are found in lattice-based methods. Impact and Transition to Quantum-Secure Cryptography NIST encourages organizations to begin transitioning to these post-quantum cryptographic standards as soon as possible. Quantum computers, once they reach sufficient power, could compromise existing encryption systems, making proactive adoption essential for government agencies, financial institutions, and enterprises handling sensitive data. These new standards provide a robust foundation to protect communications, transactions, and identity verification in a quantum-resilient digital environment.
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Conventional wisdom says that encrypting data at rest is great for security. In fact, it leaves major gaps in your defenses. 👎 The problem 👎 Traditional encryption works for the files on a disk and protects them against an attacker who has physical access to your server. But to a running application or database, encryption at rest is completely transparent. It might as well not exist. Data is decrypted automatically making it fully accessible to anyone who has digital access to the server. And the decryption keys are often stored in the same place as the data - it's like leaving the key in the lock! ❌ Result: Encryption at rest provides little to no defense against modern threats 👎 Application vulnerabilities 👎 Unauthorized access 👎 Insider threats 🙏 A better way: encryption in USE 🙏 Encryption in use protects every individual record or value with a unique key and data is only decrypted the moment an authorized user needs access. Never to anyone else and never more than is needed. ✅ Result: Encryption in USE defends data against a wide range of modern threats ➡️ That's because data remains encrypted even when other controls fail. I genuinely believe that we are witnessing the next leap forward in data protection. And in a world where data is both more valuable and more accessible than ever before, it couldn't have come at a better time. PS: The image wasn't AI generated. It really is me!
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In an era where cyberattacks are increasingly sophisticated and often state-sponsored, where data breaches are measured in millions of records and billions of dollars lost, organizations can no longer rely solely on cryptographic schemes developed decades ago. Traditional algorithms such as RSA and ECC, once considered secure, are now vulnerable; not only to evolving classical threats but also to the emerging capabilities of quantum computing. As quantum computing continues to evolve, even the strongest encryption methods will eventually be compromised. Post-quantum cryptography is no longer a future consideration, it is a necessary shift needing attention today. Organizations must take immediate action to evaluate, adopt, and implement quantum-resistant algorithms securing critical systems and sensitive data before current protections become ineffective. Don’t be lulled into a false sense of security. The real risk is harvest now, decrypt later. Data encrypted today, especially long-lived sensitive data can be stored by adversaries and decrypted when quantum computing catches up. #pqc #cisos #dspm #encryption
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