Meta paid €17 million to the Irish DPC, not for lacking security controls but for failing to demonstrate the ones it had were operating at the time of 12 breaches. The ICO fined Advanced Computer Software £3.07 million on the same basis in 2025. HMRC charged a UK accountancy firm under the Corporate Criminal Offence for the first time over a £16 million R&D claim built on retrospective paperwork. Boeing settled with the DOJ for $487 million on 787 inspection records that looked identical to the real thing.

Word documents cannot answer that. Cloud retention cannot answer that. The compliance platforms most companies already pay for collect evidence brilliantly, but read their own contracts: the date-integrity question is contractually pushed back to the customer.

That is what immut fixes. We take a cryptographic fingerprint of a file on the user's device, write only the fingerprint to the XRP Ledger blockchain with a precise timestamp, and return a court-ready certificate. The file never leaves your control. Anyone in the world can verify it, without trusting us, ever. Accepted as legal evidence in 88 countries across 171 jurisdictions. Seconds per file. Pennies per file.

Ask yourself this question... if a regulator asked you prove to me that file was created on that day, could you without using data that is editable in emails, word processors and centralised systems like slack?

If you work on ISO 27001, R&D tax credits, GxP, trade secrets, or AI Act compliance, we a conversation.

djh@immut.io

Margaret McKay is an R&D Program Leader at the National Research Council of Canada.  Previously, she has held a variety of management and advisory roles in program and project management, performance measurement, policy and risk, and intellectual property law.  She holds a B.Sc. and M.Sc. in biochemistry from McMaster University, a J.D. from the University of Toronto, and an LL.M. in Privacy and Cybersecurity from Osgoode Hall. She is admitted to the bars of Ontario and New York, is a registered patent agent and trade-mark agent with the Canadian Intellectual Property Office, and holds certifications as a Project Management Professional (PMI) and a Certified Information Privacy Professional (Canada, IAPP). She speaks from her personal perspective and experience and not for her employer or the Government of Canada.

I'm currently focused on the world of data - all data. It is an inescapable fact that our current centralized approach to storing, securing, managing and using data is hopelessly ill-equipped to deal with today's volume, variety and velocity of data.

We live in a world where data is generated, processed and utilized on billions of distributed devices. Yet, our current data management model is centralized - we aggregate and store "dumb" data in warehouses, lakes etc. and build massively expensive and inefficient infrastructure to manage, secure and make sense of this dumb data.

There is a better way - that's why we built PrivacyChain.
- The right data, in the right place, in the right format and, crucially, for as long as it needs to be there.
- Dynamic and optimized distribution of data across all devices.
- Intelligent data in which every data record know everything about itself and is directly findable by query - Security, control, rights enforcement built into the data layer and enforced on every individual data record.

Starting with UAV's, autonomous equipment and vehicles where current events are showing just how far behind we are in how we manage data across distributed devices.

Feel free to connect or engage (DM) if these topics resonate.

World's Top Ranked technologist on AI (Artificial Intelligence), Quantum, Deep Tech. Transformed the Core Banking Systems in SBI at 24K TPS, 1.5 Billion Transactions in a day to cover over 500 Million Customers and 700 Million Accounts. Developed SBI YONO AI Autonomic Banking Super App over 100 Million Users (World’s first Autonomic AI Digital Lending Application).

Established Barclays GIAP (Global Innovation Application Platform) for Cloud Bursting and Agile Application Infrastructure. Established the GE Industrial System Digital Cockpit for over 4K Source Systems and Enterprise Data Warehouse.

Developed IBM Watson AI for Global Banking. Developed IBM On Demand Global Technology services for an order backlog of over $150 Billion. AI-Quantum State Attention Networks, Signal AI Inferencing, Neural Attention Architecture, State Vector Signal Properties, Fourier Analysis, Hilbert Space, Superposition properties, Quantum State Representation,Density Matrix Formulation, Entanglement Weighted Output, Wave Function, Attention Coherence, Gradient Flow, Signal Fidelity, PAC Generalisation Bounds, Quantum Circuit Gate Builder, Hamiltonian Control Framework, Quantum Knowledge Graphs.

Gen AI, LLM, SLM, RAG, Vector Database, Data Pipelines, Cybersecurity, Adaptive Security, Data Science, Blockchain, Fintech, IOT, Cloud, Engineering & Development, Payments, Digital Tech, LCNC - Low Code/ NoCode, Quantum Computing, Complex Event Processing, Risk Management, Core Banking Systems, ERP, Building Industry Alliances and Networks, Industry Consortium Builder, Joint Community IP Development, Product Development, Strategy, Governance, Finance, Business Process Management, Audit, Compliance, Consulting, Enterprise Architecture, Mobile Apps, Digital Transformation, Complex Event Processing, FinTech, E-Commerce, Payments, Platform and Product Innovation, Data Science, Machine Learning, Artificial Intelligence,Open Stack Cloud, Analytics, Big Data, M2M, IOT, Virtualization, Visualization, Data warehousing, VMware Cloud Director, Amazon EC2, Rabbit MQ, Tivoli, IBM Cloud, AMPQ Messaging, Cloud Application Migration, Information Workload R&D, Mobile Innovation, LTE, SMSC, Product Roadmap Strategy, Business Development

As the CEO and President of Sunvera Software since 2013, I lead a dedicated team in designing and deploying innovative, AI-first digital ecosystems for startups and enterprises. Our core focus lies in blending sophisticated user experiences with advanced technologies such as machine learning, predictive analytics, and generative AI. By positioning these capabilities as central to our platforms, we enable our clients to unlock new competitive advantages and achieve operational excellence.

With extensive experience in start-up leadership and business ownership, I work closely with visionary founders and executives to bring their ideas to life through precise and scalable solutions. Our approach integrates U.S.-based leadership with global delivery models, ensuring high-quality, cost-effective, and timely results. My mission is to foster innovation and growth while maintaining an unwavering commitment to delivering impactful and sustainable digital solutions.

I am an engineering and AI executive focused on helping enterprises navigate large-scale technology and business transformation. My work sits at the intersection of AI, platform engineering, and operating model redesign, enabling organizations to scale innovation while managing risk, governance, and regulatory complexity.

Over the course of my career, I have built and scaled global engineering organizations, led enterprise platforms supporting $1B+ in monthly transactions, and transformed delivery models to accelerate time-to-market from years to months. I have established AI capabilities from the ground up, operationalized governance frameworks, and guided organizations through the transition from experimentation to production-scale AI.

I have partnered closely with CEOs and executive teams to align technology strategy with business outcomes, particularly in regulated and high-complexity environments such as biotech, healthcare, semiconductor, and enterprise SaaS.

In addition to operating roles, I advise leadership teams and emerging companies on AI strategy and digital transformation. My focus is on helping executives make pragmatic, high-impact decisions around AI investments, platform strategy, and long-term technology direction.

What differentiates my work is the ability to bridge deep technical execution with executive-level decision-making, translating emerging technologies into scalable, governed, and commercially viable enterprise solutions.

I am a published author and long-time practitioner in enterprise technology, with a strong interest in how AI will reshape industries, operating models, and competitive advantage.

Vyas will lead an incredible session on how Rhipheus leverages ClusterTek-built AI infrastructure to achieve "Features in Minutes, Not Months." If you’ve been looking for the secret to Hyper-Agile AI ($HI*AI = HA$), this is it

The Rhipheus Engine
Vyas will walk us through their proprietary three-stage assembly line that is redefining production speed:
Input Processing: Ingesting and standardizing raw data patterns.
Component Creation: Generating reusable services and project-specific blueprints.
Assemble & Process: Combining components into production-ready AI outputs.

29+ years of experience running the gamut of Management, Architecture to Maintenance.

Build innovative products to ensure IP-led growth •Responsible for articulating & helping with Cloud Strategy for CxOs •Experience in Cloud Solutions (Development, Migration), Managed Services and Cloud Products/IPs

Firmly believe in technical excellence. Designed a proprietary software development methodology called "Sherpa Method". •Founder & Chief Architect at Rhipheus (http://www.rhipheus.com) •Very best in capturing & developing the vision for a product and articulating it to investors, management and end users alike through high-fidelity wireframes.

Give me 3 weeks and you will see your project like you envisioned it - Only BETTER! •Experience defining technical strategy, creating high energy teams to pursue technically challenging projects. •Extensive experience managing cross-cultural, globally distributed teams (India & China)

Experience in new product development & migrating existing products to Microsoft Azure (Windows / SQL). •Extensive hands-on & deep development experience in Microsoft Technologies: Microservices, Azure (Kubernetes, Functions, Web, Mobile & Logic Apps & Flow), C# 10.0, .Net 7, MAUI, SQL Server, Git, Working knowledge of Azure IaaS, Powershell 7, etc. •Expert level knowledge in C#. Internals and in-depth information interest me a great deal.