Welcome to a primer for homomorphic encryption (HE) – an innovative and powerful technology that is reshaping the data privacy and security landscape. HE fills a major gap in data security and privacy by providing a quantum-safe cryptographic method for addressing data-in-use. By allowing computations to be performed on encrypted data without having to decrypt it first, homomorphic encryption represents a significant breakthrough in the field of cryptography. But before delving deeper into this transformative technology, it is necessary to have a fundamental understanding of what encryption is and how typical encryption methods have been used for secure data storage.
Encryption, in its simplest form, is the process of converting plaintext data into ciphertext to prevent unauthorized access. This is achieved by using an encryption algorithm and a secret key – a cryptographic variable that modifies the algorithm’s actions. This combination effectively puts the data in encrypted form and shields it from being accessed or understood unless you have access to the secret key that can decrypt it back into plaintext. Traditional methods of encryption have played a vital role in data protection for data-at-rest, especially in an era where sensitive information is increasingly being stored and threatened in digital formats.
However, the limitation of traditional encryption methods has always been clear: once data is encrypted, it cannot be used or processed until it has been decrypted. This complicates tasks that require data processing, as you must choose between protecting your data through encryption and utilizing it for analysis or computations. This is where homomorphic encryption comes into play.
Fully Homomorphic Encryption (FHE), as a concept, was first envisioned by cryptographer Craig Gentry in 2009. It is a form of encryption that permits users to perform mathematical operations on its encrypted data. One could analyze and draw valuable insights from encrypted data, without ever needing to decrypt it. It essentially reconciles the conflict between data utility and security, enabling entities to use the data while still maintaining its encrypted state for protection. FHE is arguably the most important breakthrough for the private and secure use of data in the 21st century. We’ve used encryption to secure data at rest and in transit, with process-driven workarounds to address risk when using data. The lack of a technological solution for securing data-in-use has been a great hindrance to data acquisition, collaboration, and generally, data-driven growth initiatives. This is especially true today as privacy laws continue to become more common and more stringent.
With a solid understanding of encryption fundamentals and the transformative potential of fully homomorphic encryption, we turn our attention to Duality Tech. Established by renowned cryptographers and seasoned data scientists, Duality Tech has been a pioneer in developing and applying Privacy Enhancing Technologies (PETs) to make secure collaboration possible on sensitive data. Duality Tech’s innovative solutions empower organizations to share and process encrypted data without compromising its security or privacy. Leading global organizations such as DARPA, Deloitte, Intel, IBM, Oracle, Google, AWS, and more have already recognized the substantial potential of Duality Tech’s pioneering work in fully homomorphic encryption. Let’s continue our exploration of this fascinating technology.
Delving further into the realm of encryption, let’s examine how fully homomorphic encryption distinguishes itself from classical methods. The bedrock of traditional encryption is confidentiality – ensuring that data, once encrypted, remains inaccessible to unauthorized users. However, this level of security comes at a price, as the need to decrypt data for use often results in privacy compromises. That’s where homomorphic encryption breaks the mold.
When clarifying homomorphic encryption, it’s vital to tackle a couple of terms: ‘somewhat’ and ‘fully’ homomorphic encryption. Developed by Craig Gentry in 2009, the first somewhat homomorphic encryption scheme led to the revolutionary creation of the fully homomorphic encryption scheme. Both homomorphic schemes allow computations to be carried out on encrypted data, but they differ significantly in extent.
Somewhat homomorphic encryption supports two types of operations, addition, and multiplication, but only for a subset of circuits. On the other hand, fully homomorphic encryption (FHE) can theoretically manage an unlimited range of mathematical operations. Thus, FHE has the potential to solve the dual purpose of keeping data both secure and computationally friendly, significantly elevating its commercial value and utility.
The magic of homomorphic encryption technology lies in its unique trait where, even after performing various computations on the encrypted data, the result remains encrypted. Upon decryption, this result corresponds to the output one would obtain had the operations been performed on the original, unencrypted data. This property is precisely what keeps third parties from accessing sensitive information. Even if they manage to compute using the encrypted data, without the secret key, the resultant data would remain encrypted and unintelligible.
Duality Tech’s open-source library offers the implementation of fully homomorphic encryption. Our open-source fully homomorphic encryption library is a quantum-safe cryptographic method that uses FHE schemes to allow users to run computations or queries on data without decrypting it. This technology allows us to use data and collaborate in ways that were previously blocked by security and privacy concerns. It streamlines data-driven growth initiatives by eliminating the need for bulky and limited privacy processes. It’s a cloud-agnostic piece of software that is installed at the site of each data owner and/or analyzing party. The software is then configured to encrypt selected data sets and allow preapproved computations from approved parties with built-in governance controls. Encrypted queries or computations are run on the encrypted data, the encrypted results are returned to the analyzer still and decrypted by them alone. No one but the data owner has raw access to the data while enabling the extraction of insights from the involved datasets. So, in some sense, FHE is a fundamental magic, in that it flips the traditional purpose of encryption, which is to prevent people from accessing or using data. Now we have encryption to do the opposite, which is a shocking revelation. Once understood, it becomes a major relief in that it enables growth while reducing significant data risks. This has tremendous implications for multiple industries, for government, and society at large.
Understanding the mechanics of homomorphic encryption sets the stage for its numerous intriguing and valuable applications. With its exclusive capability of maintaining the confidentiality of data during computations, this powerful technology has immense applications across a broad spectrum of industries and governmental activities.
In government sectors, FHE serves as a catalyst for confidential investigations by unlocking a multitude of data sources. This breakthrough expedites the investigative process and allows agencies to tap into a broader spectrum of information without compromising security. Our innovative “Zero Footprint Investigations” solution is revolutionizing the way government agencies acquire and handle sensitive data related to investigations. This solution enables agencies to keep the subjects of their investigations completely confidential while still accessing and analyzing crucial data sources. FHE streamlines the often cumbersome processes that were traditionally required to maintain the confidentiality of investigations. Government bodies like the SOAA have embraced FHE, incorporating it as an underlying technology to drive data-driven initiatives and achieve their goals efficiently.
In the financial services industry, FHE emerges as a powerful tool for cross-border collaboration in the fight against financial fraud. Real-world examples, such as our IMDA case study with Mastercard, showcase how FHE enables secure data sharing and analysis across international borders. By leveraging FHE’s capabilities, financial institutions can enhance their fraud detection and prevention efforts by tapping into data they originally would not have access to. This innovative approach not only strengthens security measures but also fosters global cooperation in combating financial crimes.
In the healthcare industry, FHE is a critical enabler of secure and efficient data collaboration. The recent global pandemic underscored the pressing need for enhanced collaboration among healthcare researchers and organizations. FHE provides a secure framework for sharing and analyzing sensitive medical data, addressing challenges related to privacy and data protection. A notable case study published by PNAS exemplifies the power of FHE in linking cancer patient data with genomic information from diverse and disparate sources. This breakthrough facilitates comprehensive disease research and paves the way for more effective prevention and mitigation efforts. FHE empowers healthcare professionals and researchers to harness the full potential of data-driven insights while ensuring the utmost confidentiality and security of patient information, ushering in a new era of collaboration in the healthcare industry.
FHE empowers information service providers and data brokers to eliminate the need for large-scale data transfers by enabling secure computations on encrypted data, thus streamlining interactions with government and public entities. Furthermore, it removes data localization restrictions for specific datasets, significantly broadening the total addressable market. This means that information service providers and data brokers can operate more efficiently, serve a larger client base, and offer data-driven solutions that were previously hindered by security concerns.
This technology isn’t limited to just these sectors. From government sectors to data brokers, homomorphic encryption broadens the opportunities for secure collaboration and sharing of sensitive data and is revolutionizing the way these industries operate, empowering them to harness the power of secure and efficient data analytics.
Navigating the complexities of Privacy Enhancing Technologies (PETs) can be daunting, but that’s where Duality Tech is here to help. One of the major challenges in adopting PETs is their inherent complexity, especially when it comes to utilizing tools like our openFHE library to create applications. Understanding this, Duality not only develops but also applies these privacy technologies into a single, user-friendly platform. This eliminates the need for advanced cryptographic expertise, making secure data collaboration accessible to a wider audience. Our skilled team of expert cryptographers and data scientists work tirelessly to leverage fully homomorphic encryption for secure collaboration on sensitive data. By operationalizing PETs, we enable secure analysis of encrypted data, ensuring compliance with data privacy regulations while safeguarding valuable intellectual property. Stick around as we dive deeper into the future implications of this exciting technology.
Homomorphic encryption represents a transformative technology that redefines the landscape of data privacy and security. As our reliance on data continues to grow, predictive analytics, machine learning, and artificial intelligence have become increasingly integral to decision-making processes. The availability and security of data are paramount. Traditional encryption methods like the somewhat homomorphic encryption scheme or CKKS scheme, fall short of meeting the demands of an expanding data ecosystem that must also adhere to stringent privacy regulations. Duality Tech’s fully homomorphic encryption offers a unique solution by allowing computations on encrypted data, bridging the gap between data security, privacy, and usability.
This paradigm shift holds immense promise for the future, especially in an era where cloud computing is central to data processing. Homomorphic encryption is emerging as a stronghold against the threat of quantum computers, which can swiftly crack traditional encryption methods. Homomorphic encryption, primarily based on lattice-based cryptography, offers resilience against quantum attacks, positioning it as a candidate for post-quantum cryptography.
Duality Tech actively innovates privacy enhancing technologies to drive secure data collaboration. Our multi-PET approach, coupled with the continued development of individual PETs, significantly expands potential use cases as not all PETs are created equal. By combining different technologies, such as Fully Homomorphic Encryption (FHE) and Multi-Party Computation (MPC), as highlighted in the PNAS study, we can enhance data security and functionality. This innovative combination allows for a more robust and versatile application of PETs, opening new avenues for secure data analysis. Our PET-powered solutions empower government agencies and numerous industries to securely collaborate on sensitive data, unlocking new possibilities for data utilization while rigorously maintaining privacy and compliance standards. Duality Tech serves as a bridge between promising technology and practical application, creating a future where data security is a catalyst for progress. Welcome to the future of data privacy. Welcome to Duality Tech!
Homomorphic encryption (HE) ni teknolojia ya ubunifu na nguvu ambayo inabadilisha mazingira ya faragha na usalama wa data. "Kama ""kitu kikubwa katika usalama wa data na faragha kwa kutoa njia ya cryptographic quantum-safe kwa ajili ya kushughulikia data katika matumizi.""" Kwa kuruhusu hesabu kufanyika juu ya data encrypted bila kuwa na decrypting kwanza, homomorphic encryption inawakilisha mafanikio makubwa katika uwanja wa cryptography. Lakini kabla ya kuchimba zaidi katika teknolojia hii ya mabadiliko, ni muhimu kuwa na uelewa wa msingi wa nini encryption ni na jinsi mbinu za kawaida za encryption zimetumika kwa kuhifadhi data salama. Encryption, katika fomu yake rahisi, ni mchakato wa kubadilisha data plaintext katika ciphertext kuzuia upatikanaji unaoruhusiwa. Hii ni mafanikio kwa kutumia encryption algorithm na ufunguo wa siri <unk> cryptographic kutofautiana kwamba hubadilisha algorithm <unk>s vitendo. Mchanganyiko huu kwa ufanisi huweka data katika fomu ya encrypted na huilinda kutoka kwa kufikiwa au kueleweka isipokuwa una upatikanaji wa ufunguo wa siri ambao unaweza kuifungua tena katika maandishi wazi. Mbinu za kawaida za encryption zimekuwa na jukumu muhimu katika ulinzi wa data kwa data-at-rest, hasa katika enzi ambapo habari nyeti ni zaidi kuhifadhiwa na kutishwa katika muundo wa digital. Hata hivyo, kikomo cha mbinu za kawaida encryption daima imekuwa wazi: mara moja data ni encrypted, haiwezi kutumika au kusindika mpaka imekuwa decrypted. Hii hufanya kazi ambazo zinahitaji usindikaji wa data kuwa ngumu, kwani lazima uchague kati ya kulinda data yako kupitia encryption na kuitumia kwa uchambuzi au hesabu. Hii ni ambapo encryption homomorphic inakuja katika kucheza. "Kufikia sasa, FHE (Fully Homomorphic Encryption) ni kifungu cha kificho cha kificho cha kificho cha kificho cha kificho cha kificho cha kificho cha kificho cha kificho cha kificho cha kificho cha kificho cha kificho cha kificho cha kificho cha kificho cha kificho cha kificho cha kificho cha kificho cha kificho cha kificho cha kificho cha kificho cha kificho cha kificho cha kificho cha kificho cha kificho cha kificho)." Ni aina ya encryption ambayo inaruhusu watumiaji kufanya shughuli za hisabati juu ya data yake encrypted. Mtu angeweza kuchanganua na kupata ufahamu wenye thamani kutoka kwa data iliyofichwa, bila kuhitaji kuifungua. Ni kimsingi reconciles mgogoro kati ya matumizi ya data na usalama, kuwezesha vyombo kutumia data wakati bado kudumisha hali yake encrypted kwa ajili ya ulinzi. FHE inawezekana kuwa mafanikio muhimu zaidi kwa matumizi ya data ya kibinafsi na salama katika karne ya 21. Tumetumia encryption kulinda data katika mapumziko na katika usafirishaji, na mchakato-kuendeshwa workarounds kushughulikia hatari wakati wa kutumia data. Ukosefu wa suluhisho la kiteknolojia la usalama wa data katika matumizi imekuwa kizuizi kikubwa kwa ununuzi wa data, ushirikiano, na kwa ujumla, mipango ya ukuaji inayoendeshwa na data. Hii ni kweli hasa leo kama sheria za faragha kuendelea kuwa ya kawaida zaidi na kali zaidi. Kwa ufahamu thabiti wa misingi ya encryption na uwezo wa mabadiliko ya encryption homomorphic kikamilifu, sisi kugeuka tahadhari yetu kwa Duality Tech. Ilianzishwa na cryptographers maarufu na wanasayansi wa data wenye uzoefu, Duality Tech imekuwa waanzilishi katika kuendeleza na kutumia Teknolojia za Kuongeza Faragha (PETs) ili kufanya ushirikiano salama iwezekanavyo kwenye data nyeti. Suluhisho la ubunifu la Duality Tech linawezesha mashirika kushiriki na kusindika data iliyofichwa bila kuhatarisha usalama au faragha yake. Mashirika ya kimataifa kama vile DARPA, Deloitte, Intel, IBM, Oracle, Google, AWS, na zaidi tayari wametambua uwezo mkubwa wa kazi ya upainia ya Duality Tech katika encryption homomorphic kabisa. Hebu tuendelee na uchunguzi wetu wa teknolojia hii ya kuvutia. Kujifunza zaidi katika ulimwengu wa encryption, hebu kuchunguza jinsi kikamilifu homomorphic encryption inatofautisha yenyewe kutoka mbinu za kawaida. Msingi wa encryption jadi ni usiri <unk> kuhakikisha kwamba data, mara moja encrypted, bado haiwezi kufikiwa na watumiaji wasio na mamlaka. Hata hivyo, kiwango hiki cha usalama huja kwa bei, kama haja ya decrypt data kwa ajili ya matumizi mara nyingi matokeo katika faragha compromises. Hiyo ni ambapo homomorphic encryption kuvunja mold. Wakati kueleza homomorphic encryption, ni muhimu kushughulikia michache ya maneno: "kwa kiasi fulani" na "kikamilifu" homomorphic encryption. Craig Gentry, mwanzilishi wa kwanza wa homomorphic encryption, alianzisha mfumo wa encryption ya homomorphic. Wote homomorphic mipango kuruhusu mahesabu kufanyika juu ya data encrypted, lakini wao tofauti kwa kiasi kikubwa katika kiwango. Kwa kiasi fulani homomorphic encryption inasaidia aina mbili za shughuli, kuongeza, na kuzidisha, lakini tu kwa ajili ya subset ya mizunguko. Kwa upande mwingine, encryption homomorphic kikamilifu (FHE) inaweza kinadharia kusimamia mbalimbali ya kikomo ya shughuli za hisabati. Kwa hivyo, FHE ina uwezo wa kutatua kusudi la mbili la kuweka data salama na kwa ufundi wa kompyuta, ikiongeza kwa kiasi kikubwa thamani yake ya kibiashara na matumizi. Uchawi wa homomorphic encryption teknolojia iko katika sifa yake ya kipekee ambapo, hata baada ya kufanya mahesabu mbalimbali juu ya data encrypted, matokeo hubaki encrypted. Baada ya decryption, matokeo haya inalingana na pato moja ingekuwa kupata alikuwa shughuli walikuwa uliofanywa juu ya awali, data unencrypted. Mali hii ni hasa nini anaweka watu wa tatu kutoka kupata habari nyeti. Hata kama wao kusimamia kuhesabu kwa kutumia data encrypted, bila ufunguo wa siri, data yanayotokana ingekuwa kubaki encrypted na unintelligible. Duality Tech's wazi-chanzo maktaba inatoa utekelezaji wa encryption kikamilifu homomorphic. Open-source homomorphic encryption library ni quantum-safe cryptographic method ambayo hutumia FHE schemes ili kuruhusu watumiaji kuendesha hesabu au maswali juu ya data bila decrypting. Teknolojia hii inaruhusu sisi kutumia data na kushirikiana kwa njia ambazo hapo awali zilikuwa zimezuiwa na wasiwasi wa usalama na faragha. Inaboresha mipango ya ukuaji inayoendeshwa na data kwa kuondoa haja ya michakato mikubwa na ndogo ya faragha. Ni kipande cha wingu-agnostic ya programu ambayo ni imewekwa katika tovuti ya kila mmiliki wa data na / au kuchambua chama. Programu ni kisha umeboreshwa encrypt seti za data waliochaguliwa na kuruhusu mahesabu pre-kubaliwa kutoka vyama kupitishwa na kujengwa katika udhibiti utawala. Kuuliza encrypted au mahesabu ni kukimbia juu ya data encrypted, matokeo encrypted ni kurudi kwa mchambuzi bado na decrypted na wao peke yao. Hakuna mtu lakini mmiliki wa data ana upatikanaji mbichi kwa data wakati kuwezesha uchimbaji wa ufahamu kutoka datasets kushiriki. Kwa hiyo, kwa maana fulani, FHE ni uchawi wa msingi, kwa kuwa inageuza kusudi la jadi la encryption, ambayo ni kuzuia watu kutoka kupata au kutumia data. Sasa tuna encryption kufanya kinyume, ambayo ni ufunuo mshtuko. Mara baada ya kueleweka, inakuwa misaada kubwa katika kwamba inawezesha ukuaji wakati kupunguza hatari kubwa data. Hii ina athari kubwa kwa viwanda vingi, kwa serikali, na jamii kwa ujumla. Kuelewa utaratibu wa encryption homomorphic huweka hatua kwa ajili ya maombi yake mengi ya kuvutia na yenye thamani. Kwa uwezo wake wa kipekee wa kudumisha usiri wa data wakati wa hesabu, teknolojia hii yenye nguvu ina matumizi makubwa katika aina mbalimbali za viwanda na shughuli za serikali. Katika sekta za serikali, FHE hutumika kama kichocheo kwa uchunguzi wa siri kwa kufungua vyanzo vingi vya data. Uvumbuzi huu unaongeza kasi ya mchakato wa uchunguzi na inaruhusu mashirika kupata habari nyingi bila kuhatarisha usalama. Suluhisho letu la ubunifu la "Uchunguzi wa alama ya sifuri" linabadilisha njia ambayo mashirika ya serikali hupata na kushughulikia data nyeti zinazohusiana na uchunguzi. Suluhisho hili linawezesha mashirika kuweka mada ya uchunguzi wao kwa siri kabisa wakati bado kupata na kuchambua vyanzo muhimu vya data. FHA inawezesha taratibu ambazo mara nyingi ni ngumu ambazo zilihitajika kwa kawaida kudumisha usiri wa uchunguzi. Mashirika ya serikali kama vile SOAA yamekubali FHE, ikiingiza kama teknolojia ya msingi ili kuendesha mipango inayoendeshwa na data na kufikia malengo yao kwa ufanisi. Katika sekta ya huduma za kifedha, FHE inaonekana kama chombo chenye nguvu kwa ushirikiano wa kimataifa katika kupambana na udanganyifu wa kifedha. Mifano ya ulimwengu halisi, kama vile utafiti wetu wa kesi ya IMDA na Mastercard, inaonyesha jinsi FHE inafanya kuwezesha kushiriki data salama na uchambuzi katika mipaka ya kimataifa. Kwa kutumia uwezo wa FH, taasisi za kifedha zinaweza kuboresha juhudi zao za kugundua na kuzuia udanganyifu kwa kutumia data ambazo awali hazingekuwa na upatikanaji. Njia hii ya ubunifu sio tu inaimarisha hatua za usalama lakini pia huendeleza ushirikiano wa kimataifa katika kupambana na uhalifu wa kifedha. Katika sekta ya huduma za afya, FHE ni kipaumbele muhimu cha ushirikiano wa data salama na ufanisi. Janga la hivi karibuni la ulimwengu lilionyesha haja ya haraka ya ushirikiano ulioimarishwa kati ya watafiti na mashirika ya huduma za afya. FHE hutoa mfumo salama wa kushiriki na kuchambua data nyeti za matibabu, kukabiliana na changamoto zinazohusiana na faragha na ulinzi wa data. Utafiti wa kesi maarufu uliochapishwa na PNAS unaonyesha nguvu ya FHE katika kuunganisha data ya mgonjwa wa kansa na habari ya genomic kutoka vyanzo mbalimbali na tofauti. Maendeleo haya yanawezesha utafiti wa kina wa ugonjwa na kuandaa njia ya juhudi bora za kuzuia na kupunguza. FHE inawapa wataalamu wa huduma za afya na watafiti uwezo kamili wa ufahamu unaoendeshwa na data wakati wa kuhakikisha usiri na usalama wa habari ya mgonjwa, na kuanzisha enzi mpya ya ushirikiano katika tasnia ya huduma za afya. FHE inawapa watoa huduma za habari na wakala wa data uwezo wa kuondoa haja ya uhamisho mkubwa wa data kwa kuwezesha hesabu salama kwenye data iliyofichwa, na hivyo kurahisisha mwingiliano na serikali na vyombo vya umma. Zaidi ya hayo, inaondoa vikwazo vya utafutaji wa data kwa seti maalum za data, kupanua kwa kiasi kikubwa soko la jumla linaloweza kuelekezwa. Hii inamaanisha kwamba watoa huduma za habari na wakala wa data wanaweza kufanya kazi kwa ufanisi zaidi, kuhudumia msingi mkubwa wa wateja, na kutoa suluhisho zinazoendeshwa na data ambazo hapo awali zilizuiliwa na wasiwasi wa usalama. Teknolojia hii si mdogo kwa sekta hizi tu. Kutoka kwa sekta za serikali hadi wafanyabiashara wa data, encryption ya homomorphic inaongeza fursa za ushirikiano salama na kushiriki data nyeti na inabadilisha njia ya viwanda hivi kufanya kazi, kuwezesha nguvu ya uchambuzi wa data salama na ufanisi. Kuendesha utata wa Teknolojia za Kuongeza Faragha (PETs) inaweza kuwa ya kutisha, lakini hapo ndipo Teknolojia ya Duality iko hapa kusaidia. Moja ya changamoto kubwa katika kupitisha PETs ni utata wao wa asili, haswa linapokuja suala la kutumia zana kama maktaba yetu ya OpenFHE kuunda programu. Kuelewa hili, Duality si tu kuendeleza lakini pia inatumika teknolojia hizi faragha katika moja, mtumiaji-kirafiki jukwaa. Hii huondoa haja ya utaalam wa hali ya juu wa cryptographic, na kufanya ushirikiano salama wa data kupatikana kwa watazamaji pana. Timu yetu ya wataalamu wa cryptographers na wanasayansi wa data hufanya kazi bila kuchoka ili kuimarisha encryption homomorphic kwa ushirikiano salama juu ya data nyeti. Kwa kuendesha PETs, tunaruhusu uchambuzi salama wa data iliyofichwa, kuhakikisha kufuata kanuni za faragha ya data wakati wa kulinda mali ya akili yenye thamani. Endelea huku tukichunguza zaidi matokeo ya wakati ujao ya teknolojia hii yenye kusisimua. Homomorphic encryption inawakilisha teknolojia ya mabadiliko ambayo hufafanua upya mazingira ya faragha ya data na usalama. Kwa kuwa utegemezi wetu kwa data unaendelea kuongezeka, uchambuzi wa utabiri, kujifunza mashine, na akili bandia zimekuwa sehemu muhimu ya mchakato wa kufanya maamuzi. Upatikanaji na usalama wa data ni muhimu sana. Mbinu za kawaida za encryption, kama vile homomorphic encryption scheme au CKSS, hazifai kukidhi mahitaji ya mfumo wa data unaoongezeka ambao lazima pia ufuate kanuni kali za faragha. Duality Tech's homomorphic encryption inatoa suluhisho la kipekee kwa kuruhusu hesabu kwenye data iliyofichwa, kuunganisha pengo kati ya usalama wa data, faragha, na matumizi. Mabadiliko haya ya mfano yana ahadi kubwa kwa siku zijazo, haswa katika enzi ambapo kompyuta ya wingu ni muhimu kwa usindikaji wa data. Homomorphic encryption ni kuibuka kama ngome dhidi ya tishio la kompyuta quantum, ambayo inaweza haraka kuvunja mbinu za jadi encryption. Homomorphic encryption, hasa kulingana na lattice-msingi cryptography, inatoa upinzani dhidi ya mashambulizi quantum, nafasi yake kama mgombea kwa ajili ya baada ya quantum cryptography. Duality Tech inabadilisha kikamilifu teknolojia za kuboresha faragha ili kuendesha ushirikiano salama wa data. Mkakati wetu wa PET nyingi, pamoja na maendeleo ya kuendelea ya PET za mtu binafsi, huongeza kwa kiasi kikubwa kesi za matumizi ya uwezekano, kwani sio PET zote zimeundwa sawa. Kwa kuchanganya teknolojia tofauti, kama vile Fully Homomorphic Encryption (FHEC) na Multi-Party Computing (MPC), kama ilivyoonyeshwa katika utafiti wa PNAS, tunaweza kuboresha usalama wa data na utendaji. Mchanganyiko huu wa ubunifu unaruhusu matumizi ya nguvu zaidi na ya kubadilika kwa PET, kufungua njia mpya za uchambuzi wa data salama. Suluhisho zetu za PET-powered zinawezesha mashirika ya serikali na viwanda vingi kushirikiana kwa usalama kwenye data nyeti, kufungua uwezekano mpya wa matumizi ya data wakati wa kudumisha kwa ukali viwango vya faragha na kufuata. Teknolojia ya Duality hutumika kama daraja kati ya teknolojia ya kuahidi na matumizi ya vitendo, kuunda siku zijazo ambapo usalama wa data ni kichocheo cha maendeleo. Karibu katika siku zijazo za faragha ya data. Karibu kwenye Teknolojia ya Duality!