• Skip to main content
  • Skip to secondary menu
  • Skip to footer

Cybersecurity Market

Cybersecurity Technologies & Markets

  • Cybersecurity Events 2026-2027
  • Sponsored Post
  • Market Reports
  • About
    • GDPR
  • Contact

Lattica Emerges from Stealth to Solve AI’s Biggest Privacy Challenge with FHE

April 23, 2025 By CyberNewswire Leave a Comment

Tel Aviv, Israel, April 23rd, 2025, CyberNewsWire

Lattica, an FHE-based platform enabling secure and private use of AI in the cloud, has emerged from stealth with $3.25 million in pre-seed funding. The round was led by Konstantin Lomashuk’s Cyber Fund, with participation from angel investor Sandeep Nailwal, co-founder of Polygon Network and Sentient: The Open AGI Foundation, among others.

Lattica’s technology represents a critical new standard for industries such as healthcare, finance, and government sectors, where data privacy and security concerns have limited AI adoption. According to Cisco’s 2025 AI Briefing: CEO Edition, 70% of CEOs surveyed admitted being concerned about the state of their networks due to the rising adoption of AI, with 34% citing security as a major barrier to adoption. 

Fully Homomorphic Encryption (FHE) – the “holy grail” of cryptography in the last decade – ensures all communication between AI providers and end users remains encrypted, without needing to decrypt it, but due to longstanding computational inefficiencies, FHE has yet to be widely adopted. By capitalizing on the latest breakthroughs in the AI acceleration stack, Lattica leverages advanced acceleration techniques to operationalize FHE. 

Led by founder and CEO, Dr. Rotem Tsabary, who holds a PhD in lattice-based cryptography from the Weizmann Institute of Science, Lattica takes advantage of the foundational mathematical similarities between FHE and machine learning to offer a hardware-agnostic, cloud-based platform that utilizes FHE to deliver secure and private use of AI.

A key differentiator powering Lattica’s solution is its Homomorphic Encryption Abstraction Layer (HEAL), which enhances FHE performance and standardizes its acceleration. A cloud-based service, HEAL serves as a universal bridge connecting FHE applications and AI algorithms across a diverse range of hardware, including GPUs, TPUs, and CPUs, as well as dedicated accelerators like ASICs and FPGAs.

“By combining the advancements of hardware acceleration with software-based optimization, we realized that not only could we improve FHE efficiency to the point of commercial viability, but use it to solve critical data dilemmas holding back AI’s adoption in sensitive industries,“ said Dr. Rotem Tsabary, founder and CEO of Lattica. “We’re enabling practical FHE by developing a solution that is tailor made for neural networks.”

As part of its emergence from stealth, Lattica has made demos of the platform available on its website, alongside insights from an in-depth survey within the FHE community. Survey results validate Lattica’s approach, revealing that a majority (71%) of respondents believe FHE adoption will be achieved through a combination of hardware and software. 

“Lattica is pushing the boundaries of Fully Homomorphic Encryption, solving one of the most critical challenges in AI security,” said Konstantin Lomashuk, Managing Partner at Cyber Fund. “Cyber Fund is proud to have led Lattica’s pre-seed round. This is the kind of deep-tech innovation that defines the future, and we’re excited to see Lattica leading the way.”

Lattica’s focus on healthcare and finance further underscores the platform’s relevance, with potential applications in secure data analysis for medical research and encrypted financial transactions.

“Lattica’s product-first approach fundamentally transforms sensitive data processing in the AI ecosystem,” said Sandeep Nailwal, co-founder of Polygon Network and investor in Lattica. “Lattica has made FHE a reality that is both practical and scalable, as Tsabary and her research team is proving that advances in the machine learning stack can significantly boost the performance of FHE and have an immediate impact on the market.”

About Lattica

Lattica enables querying AI models with Fully Homomorphic Encryption, offering FHE as a hardware-agnostic, cloud-based service. The platform leads in scientific innovation by ensuring that user queries remain encrypted throughout the entire machine learning inference process. Lattica’s Homomorphic Encryption Abstraction Layer (HEAL) connects FHE applications, algorithm implementations, and diverse hardware backends, making secure AI computation as accessible as traditional cloud-based AI services. The company is headquartered in Tel Aviv. For more information, users can visit www.lattica.ai.

Contact

Jordan Chaim
InboundJunction
[email protected]

Filed Under: News

Reader Interactions

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Footer

Recent Posts

  • Altum Strategy Group: Cybersecurity in 2026 Is No Longer a Technology Problem
  • Trent AI and the Security Layer the Agentic Stack Has Been Missing
  • Gartner Security & Risk Management Summit, June 1–3, 2026, National Harbor, MD
  • Ashdod Port Has Blocked 134,000 Cyberattacks—and Kept Israel’s Trade Moving
  • Black Hat Asia 2026, April 23–24, Singapore
  • World Backup Day 2026: Why Recovery Has Become the Real Test of Cyber Resilience
  • Cyberhaven Launches Agentic AI Security as Shadow Agents Move Onto the Enterprise Endpoint
  • Palo Alto Networks Rewrites Security for the Agentic AI Era
  • RSAC Conference 2026, March 23–26, San Francisco
  • AI-Speed Warfare Comes to Cybersecurity: Booz Allen’s Vellox Suite Signals a Structural Shift

Media Partners

  • Defense Market
  • Technologies.org
  • Technology Conferences
ATARS Meets the M-346: Why Leonardo and Red 6 May Be Rewriting the Logic of Fighter Training
Dark Eagle: The U.S. Army’s Long-Range Hypersonic Weapon, Brief Overview
The Army Just Launched a Solicitation for a Heavier ISV — Here’s What We Know
The ISV’s $308 Million Budget Request — and Why Congress Is Pushing Back
From Prototype to Full-Rate Production: The ISV’s Development Timeline
ISV Specs and Deployment: How the Army Gets This Vehicle Into a Fight
Meet the ISV: The Army’s Lightweight Vehicle Built for Speed Over Armor
Affordable Mass: DARPA’s Push for Cheap Missiles Signals a Doctrinal Reset in Modern Warfare
Cheap Wins Wars: America’s Late Turn Toward Cost-Asymmetric Weapons
From Scrap to Supremacy: 6K Additive’s $1.95M Bet on Rebuilding the U.S. Defense Material Base
How to Actually Use a Raspberry Pi Without Overthinking It
Chapter’s $100 Million Bet on AI for Retirement
Galaxy A57 5G vs A37 5G Review: Samsung Pushes “Everyday AI” Further Down the Stack
Samsung Galaxy A37 5G Review: The Sensible Choice
Samsung Galaxy A57 5G Review: The Mid-Range Bar Gets Higher
AfterQuery Raises $30M at $300M Valuation as the AI Race Collides with Its Real Constraint
Xoople Raises $130M to Build the “System of Record” for the Physical World
AI Looms and the Return of American Apparel Manufacturing
Manna’s Second Act: From Drone Novelty to Logistics Infrastructure
Britain Advances SMR Deployment with £300M Owner’s Engineer Contract
Accelerate 2026, May 21–22, 2026, Salt Palace Convention Center
JSNation 2026, June 11 & June 15, Amsterdam and Remote
ICMC 2026, July 30–31, Long Beach
Elevate 2026, April 22–24, 2026, Atlanta
WWDC 2026, June 8–12, Cupertino & Online
Zip Forward Europe 2026, April 16, 2026, London
AI Summit: Operationalizing Intelligence and Driving Innovation, April 16, 2026, Woburn, Massachusetts
GTC 2026, March 16–19, San Jose
Taiwan’s AI Ecosystem Steps Into the Spotlight at NVIDIA GTC, March 16–19, 2026
COMPUTEX 2026, June 2–5, Taipei

Media Partners

  • Market Analysis
  • Market Research Media
  • Analysis.org
The End of Manual Audits: Why AI-Native Accounting Is Not Optional Anymore
Raspberry Pi’s Earnings Beat Signals a Shift From Hobbyist Hardware to Embedded Infrastructure
Betting the Backbone: A Multi-Year Positioning on AMD, Broadcom, and Nvidia
Nvidia’s Groq 3 LPX: The $20B Bet That Could Define the Inference Era
Why Arm’s New AI Chip Changes the Rules of the Game
A Map Without Hormuz: Rewiring Global Oil Flows Through Fragmented Corridors
RoboForce’s $52 Million Raise Signals That Physical AI Is Moving From Demo Stage to Industrial Scale
The Hormuz Crisis: Winners and Losers in the Global Energy Shock
Zohran Mamdani’s Politics of Confiscation
Beyond Shipyards: Stephen Carmel’s Maritime Warning and the Hard Reality of Rebuilding an Oceanic System
Canva Acquires Simtheory and Ortto to Build End-to-End Work Platform
Netflix Price Hikes, The Economics of Dominance in a Saturated Streaming Market
America’s Brands Keep Winning Even as America Itself Slips
Kioxia’s Storage Gambit: Flash Steps Into the AI Memory Hierarchy
Mamdani Strangling New York
The Rise of Faceless Creators: Picsart Launches Persona and Storyline for AI Character-Driven Content
Apple TV Arrives on The Roku Channel, Expanding the Streaming Platform Wars
Why Attraction-Grabbing Stations Win at Tech Events
Why Nvidia Let Go of Arm, and Why It Matters Now
When the Market Wants a Story, Not Numbers: Rethinking AMD’s Q4 Selloff
Why ServiceNow, Salesforce, and Atlassian Fell on the Anthropic Mythos Announcement
Broadcom’s Quiet Power Play: Strong AI Tailwinds, Yet a Stock Caught Between Cycles
Nvidia’s AI Dominance Is Real—So Why Doesn’t the Stock Feel Untouchable?
The Cost of Winning AI: Why Microsoft’s Stock Is Stuck Between Growth and Doubt
Memory Market Reality Check: Micron’s Drop Ripples Across the Sector
The Rise of China’s Hottest New Commodity: AI Tokens
The $1.6 Trillion Infrastructure Rebound That’s Quietly Rewiring Power, Data, and Control
The Day Geopolitics Repriced Everything
FedEx Signals a Logistics Cycle Turn — Growth Returns, but the Real Story Is Structural Reinvention
Iran’s Strategy in the Strait of Hormuz

Copyright © 2022 CybersecurityMarket.com

Technologies, Market Analysis & Market Research, Photography