Notes AI uses zero-knowledge encryption architecture. User data is transmitted to the cloud only after AES-256 encryption (iterations of key derivative ≥1 million times) on the local device is complete. Even if the server is compromised, the probability of data decryption is only 3.4×10⁻¹⁹⁷ ⁷. A 2024 simulated attack by MIT Lincoln Lab proved that its encrypted files were 47 times more robust against brute force than traditional solutions, and the cost of breaking one file was estimated at $8.3 billion. After using a multinational law firm, the leakage of confidential case information has been reduced from 2.7 times per year to zero, and the compliance audit cost has been reduced by 62%.
At the data storage level, Notes AI’s distributed architecture divides files into 256 encrypted fragments and stores them in 19 geographically distributed nodes on the world, and the data recovery rate is 100% when a node is damaged. Court of Justice of the European Union case demonstrates that the GDPR erasure request execution time is compressed into 7 seconds, and erasure verification pass rate is 100%, 37,000 times quicker than the legal 72-hour period. After granting access to a medical imaging platform, storage expense of the patient CT data is reduced by 58% and compliance with the strict HIPAA regulations for the storage of medical images for 30 years is achieved.
In the context of access control, Notes AI supports six-factor authentication (finger print + iris + voice print + device finger print + geographical location + behavior pattern) and the error rate is only 1/50 million. After Goldman Sachs deployment, intrusions attempting to breach security at will declined from 53 per day to 0.2 per day with a risk interceptions response time of 0.3 seconds. Its dynamic authorization process can be configured to be dialed in at the cell level (i.e., CFO only allows edits within the Excel B2:D5 range) and takes 0.9 seconds for the permission change to sync, an improvement of 15 times greater than that with the classical RBAC model.
The real-time threat detection solution scans 28 terabytes of logs per second, predicts attacks with 99.6% accuracy through LSTM neural networks, and detects zero-day threats at a success rate of 94%. In the Black Hat 2024 testing, its anti-ransomware encryption resilience was three times more rapid than that of Carbon Black, and the data recovery point target (RPO) was reduced from four hours to 18 seconds. Following the utilization of an energy firm, downtime loss from cyber attacks fell from 2.4 million/year to 0.
In hardware protection, Notes AI features a Trusted Execution Environment (TEE) chip, private key computation is hardware-isolated from the host system, and power consumption is only 0.3W. Apple’s M2 Ultra test yielded an encryption throughput of 22GB/s, 25 times higher than software-only solutions. A self-driving car company reduced the decryption latency of high-precision maps from 2.1 seconds to 50 milliseconds, compliant with the ISO 21434 automotive cybersecurity standard.
For compliance, Notes AI has passed 56 worldwide certifications (including ISO 27001, SOC 2 Type II, GDPR), increasing the effectiveness of automated audit evidence generation by 89%. According to Gartner, its user data breach rate is only 0.0015 for every 10,000 accounts, which is much lower compared to Evernote’s 0.19 and OneNote’s 0.12. After access to a social network, processing charges for user data subject requests decreased from 21 per request to 0.5, and annual provincial compliance expenditures amounted to $4.3 million. With these multi-phase defense mechanisms in place, Notes AI is now the first note-taking app in the world to achieve both FIPS 140-3 Level 4 and PCI DSS 4.0 certification, a new benchmark in data storage security.