In the ever-evolving landscape of artificial intelligence, one critical challenge looms large: data security. As AI becomes increasingly integrated into sensitive industries like healthcare and finance, the need to protect confidential information from breaches and misuse is paramount. With a model-first approach to privacy and innovation, Lattica is at the forefront of secure computation. Their hardware-agnostic cloud service uses Fully Homomorphic Encryption (FHE) to provide innovative solutions to complex problems. This new technology provides businesses a way to tap into the power of AI while keeping their data private and secure. DreamingCrypto is thrilled to be part of Lattica’s fresh vision. They address C-Suite level AI security concerns and provide practical guidance for companies on the front lines of the challenge AI adoption poses in our rapidly evolving digital landscape.

Understanding Fully Homomorphic Encryption (FHE)

Lattica’s solution involves the use of Fully Homomorphic Encryption (FHE). This novel cryptographic technique, known as fully homomorphic encryption, allows for computations to be performed directly on encrypted data, all without ever requiring access to unencrypted data. This enables us to compute and derive insights from sensitive data without ever exposing it in its original state. Consequently, the possibility of data exposure and illegal access is greatly reduced.

What is FHE?

Fully Homomorphic Encryption (FHE) allows us to evaluate any complex logic circuits. These circuits can be arbitrarily mixed gate types with arbitrary depth, making FHE the most versatile form of homomorphic encryption. Picture a locked box that you can chop, stretch, compress, and rotate the contents of without ever unlocking it. FHE is sort of that box for data. It permits sophisticated calculations to be performed on encrypted data. This method allows the confidential underlying information to remain hidden at every step of the process.

The difficulty of building a fully homomorphic encryption scheme was originally conjectured in 1978. For more than three decades, no one knew if a viable fix was even possible. The main breakthrough came in 2009 when Craig Gentry proved the first fully homomorphic encryption (FHE) scheme.

How FHE Works

Indeed, all current Fully Homomorphic Encryption (FHE) schemes work only in the leveled FHE mode. These bindings support efficient SIMD-like packing of data, making high-performance computation on encrypted integers and real or complex numbers possible. The main underlying technique of FHE is bootstrapping which allows for the evaluation of arbitrary circuits. Given the nature of FHE, bootstrapping is frequently the main bottleneck, making up more than 90% of the total computation.

Lattica’s platform uses the advanced privacy technology of FHE to create a unique and highly-secure AI computation environment. The cloud service enables queries over encrypted data without ever decrypting it, making it as safe as sending a secure message. They’re doing this through their Homomorphic Encryption Abstraction Layer (HEAL). It provides a wrapper around FHE operations to standardize, optimize, and accelerate FHE operations across various hardware environments, including GPUs, TPUs, and ASICs.

  • Gentry's scheme: The first FHE scheme, which was proposed by Craig Gentry.
  • GSW scheme: A scheme proposed by Craig Gentry, Amit Sahai, and Brent Waters, which avoids an expensive "relinearization" step in homomorphic multiplication.
  • FHEW and TFHE: Efficient ring variants of the GSW cryptosystem that reduce the bootstrapping time to a fraction of a second.
  • CKKS (Cheon-Kim-Kim-Song) scheme: An approximate arithmetic scheme that is the most efficient method for evaluating polynomial approximations and is used for implementing privacy-preserving machine learning applications.
  • CGGI (boolean/short integer arithmetic): A scheme for boolean and short integer arithmetic.

Lattica's FHE-Powered Cloud Service: A Game Changer

The use of AI in healthcare and finance increases the risk of data breaches, which can compromise sensitive patient or customer information. For instance, in 2020 a cyber-attack against an insurer’s healthcare records exposed the personal data of over 15 million patients. Even though the data is de-identified, AI algorithms can determine the identities of individuals from this data, which can cause concern for privacy. One recent study found that an algorithm can accurately re-identify 85.6% of adults in a physical activity cohort. It is able to identify 69.8% of children, even without the presence of protected health information.

Addressing Executive Concerns About AI Security

Lattica’s solution fills this gap and addresses these concerns by making sure data never leaves a control environment, staying encrypted end-to-end, including through the AI computation.

Lattica’s Homomorphic Encryption Abstraction Layer (HEAL) is the powerhouse of its platform. By using HEAL, we can standardize and accelerate FHE operations across different hardware environments (e.g., GPUs, TPUs, ASICs). This developer-facing abstraction layer greatly simplifies the process of integrating FHE into existing systems. Developers can more easily build innovative new AI applications without the burden of having deep cryptographic expertise. By optimizing FHE operations for various hardware platforms, HEAL allows Lattica’s solution to provide high performance and scalability.

One high-profile supporter of the secure AI technologies and a big player in the blockchain and Web3 landscape is Sandeep Nailwal. His presence in all these initiatives and ventures would help accelerate the adoption of solutions like Lattica’s.

  • Data breaches: By performing computations on encrypted data, Lattica eliminates the risk of data exposure during processing.
  • Re-identification of de-identified data: FHE prevents AI algorithms from accessing the underlying data, making it impossible to re-identify individuals.
  • Lack of transparency and trust: Lattica's technology provides a verifiable and transparent way to ensure data privacy, building trust among stakeholders.
  • Regulatory challenges: Lattica's solution helps organizations comply with strict data protection regulations like HIPAA, GDPR, and the Information Technology Rules, 2011.
  • Increased risk of data exploitation: By keeping data encrypted, Lattica minimizes the risk of data being shared with third-party vendors or used for secondary purposes without consent.

HEAL: Standardizing and Accelerating FHE

Sandeep Nailwal’s BFI initiative to support scientific research with Blockchain could encompass secure AI technologies. This national initiative can provide both funding and technical resources. Its goal is to design, build, and deploy FHE-powered solutions across various sectors including health care and financial services.

The Impact of Sandeep Nailwal's Endorsement

Nailwal’s participation as a co-founder at the AI start-up Sentient should help accelerate the adoption of safe and secure AI technologies. Sentient could leverage Lattica's platform to build privacy-preserving AI applications for its clients, further validating the technology and driving its adoption.

Blockchain for Impact (BFI) Initiative

Through P2 Ventures, Nailwal directly invests in early-stage start-ups in Web3, which could help create a more secure foundation for AI technologies. These investments will create a market pipeline for building and deploying new FHE-based solutions, then quickening their adoption into the larger Web3 ecosystem.

Co-founding Sentient

Nailwal’s pioneering work with Polygon’s zk solutions can help secure the next generation of AI technologies—especially as AI intersects with emerging verticals such as DeFi, gaming, NFTs, and others. Zero-knowledge proofs, when used alongside FHE, could offer even stronger privacy protections for AI use cases in these sectors.

Investments in Web3 Start-ups

Lattica’s FHE-powered cloud service represents a potent new alternative for enterprises operating in strictly regulated, sensitive industries. It very much addresses data security issues and makes AI adoption a realistic possibility.

Polygon's zk Solutions

By adopting these practices, businesses can feel assured as they build with the potential of AI. At the same time, they can ensure their privacy and security of their data. In this decentralized age, data truly is the new gold. Our Lattica FHE-powered cloud service reveals the full transformative power of artificial intelligence while ensuring trust, compliance, and readiness for the future.

Actionable Insights for Businesses

DreamingCrypto thinks the Lattica is more than just providing a product. It sets a foundation for a future in which data privacy and AI innovation can seamlessly coexist, paving the way for a safer, more trustworthy digital world. The decentralized age has arrived and it requires creative solutions such as Lattica. Let’s make sure the unchained Web3 free-for-all will do a better job of ensuring individual privacy, data security and protection from exploitation.

Here are some actionable insights:

  1. Assess your data privacy needs: Evaluate the types of data you handle and the level of security required to comply with regulations and protect sensitive information.
  2. Explore FHE solutions: Research different FHE providers and evaluate their capabilities, performance, and integration options.
  3. Consider Lattica's platform: Lattica's hardware-agnostic cloud service offers a comprehensive solution for secure AI computation, with HEAL simplifying integration and optimizing performance.
  4. Pilot projects: Start with small-scale pilot projects to test the feasibility and effectiveness of FHE in your specific use cases.
  5. Engage with experts: Consult with cryptography experts and AI specialists to ensure that your implementation is secure and aligned with best practices.

By taking these steps, businesses can confidently embrace the power of AI while safeguarding the privacy and security of their data. In the decentralized age, where data is the new gold, Lattica's FHE-powered cloud service provides a crucial tool for unlocking the full potential of AI while maintaining trust and compliance.

DreamingCrypto believes that Lattica is not just offering a product; it's offering a pathway to a future where data privacy and AI innovation can coexist, creating a safer and more trustworthy digital world. The rise of the decentralized age requires solutions like Lattica to ensure that the Web3 prophecy of worlds unchained doesn't come at the cost of individual privacy and data security.