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Can NFTs be insured, and who carries the risk?

Nike and RTFKT launched Nike CryptoKicks in the beginning of the year which is a collection of NFT sneakers called the “RFTKT X Nike Dunk Genesis,”. Owners can personalize these sneakers using ‘skin vials’ from different designers by adding new patterns and effects such as flashing lights and floating swooshes. Some of the NFT sneakers have already fetched more than $100,000. With so much spending in the NFT space, the biggest question that needs to be answered is ‘Can NFTs be insured?’

Nike CryptoKicks

The Past and Present

The first NFT-Quantum was published in 2014, but the NFT world has gained a lot of traction in the past year. The Merge created by an anonymous digital artist Pak was sold for a record-breaking $91.8 million in December’21, making it the most expensive Non-Fungible token (NFT) transaction to date. Beeple’s latest masterpiece artwork was sold for $69 million. 

The Merge

According to NFT stats compiled by Chainalysis Inc., the NFT marketplace grew to almost $41 billion in 2021, closing in on conventional art sales. 

The Scam Game

According to a report in Decrypt, the designers of the Big Daddy Ape Club scammed investors out of $1.13 million, making it the largest ‘rug pull’ in Solana blockchain’s history.

Recently, an attacker hacked into the Instagram account of the Bored Ape Yacht Club (BAYC) and stole about $3 million in NFTs. The hacker used a phishing link to steal tokens from victims’ cryptocurrency wallets. 

Non-Fungible Tokens can’t be traded interchangeably due to their unique numbers and codes. Because NFTs are so expensive, hackers and scammers have been actively eyeing the NFT world for their monetary gains. For buyers, digital security has become a serious concern.

Ensuring digital assets is an absolute necessity now, so the question here is whether NFTs can also be insured? The answer is, yes. Buyers may get compensated for fraudulent activities in the following situations:

a)In case, the private key is lost by the owner.

–When an NFT is created, it has dual keys: private and public. The blockchain ledger maintains the public key whereas the private key acts as proof of ownership.

b)When scammers sell replicas and fake digital assets.

c)Damages caused by intervention on the blockchain.

What’s happening in the NFT Insurance space?

Coincover provides corporate and consumer protection for NFTs through an insurance-backed solution. The company protects its partners’ wallets and the NFTs they possess from hacking, phishing, and other illegal activity, while also providing an insurance-backed guarantee in the event that something goes wrong. This is in addition to their disaster recovery service, which is a backup key recovery service that allows NFTs to be recovered in the event of lost passwords.

Due to increased demand from NFT holders seeking security against hacking and theft, Hong Kong-based virtual insurer OneDegree has teamed up with Munich Re to insure digital assets.

Recently, Amulet has secured $6m in its first funding round to provide insurance coverage in the Web 3.0 world which includes NFTs as well. The first Rust-based decentralized finance (DeFi) insurance protocol will utilize Solana’s PoS network to provide insurance service and stable returns. Using its unique Protocol Controlled Underwriting and Future Yield Backed Claim mechanisms, the firm will reduce the risk for underwriting capital providers.

The Challenges

A report by Technavio predicts that the NFT market will grow by $147.24 billion from 2021 to 2026 at a CAGR of 35.27%. With this growing demand for NFTs, there is a pressing need for NFT protection in the virtual world. Ensuring an NFT would be very different from insuring a conventional product or service. Insurers have three key challenges that they need to address when it comes to insuring NFTs:

  1. Uncertainty is involved in the valuation of NFTs since there isn’t any fixed market price. 
  2. Lack of structured and unified legal framework for ensuring NFTs.
  3. Ambiguity in the scope of the risks associated with NFTs is compounded by the fact that technology is evolving at a rapid pace.

The Road Ahead

The dynamics of the NFT market has changed in the past few months. After witnessing a fall in the NFT prices, user expectations have also changed dramatically where NFT utility is the latest lookout for the NFT customers. One of the most common utility is NFT being used as a gaming asset. Be it an art NFT or utility NFT, its loss may have serious repercussions not just for the owner, but also for the entire ecosystem, as NFT may lose its value if it is not secured. Open Sea – the world’s largest NFT marketplace lost $1.7 million worth of NFTs due to a phishing attack. A Bengaluru-based caricature artist found that one of his artworks was listed on Open Sea, without his knowledge. The media and insurance companies have been paying close attention to massive losses like these. NFT owners and creators will seek insurance to protect them as they become more aware of the risks involved in owning digital assets. With pioneers such as Coincover and Amulet leading the way, it’d be intriguing to see how the development unfolds in the NFT insurance space.

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What’s Next in Cloud Optimization? Can We Optimize Costs Without Sacrificing Performance?

Not too long ago, storing data meant dedicating an entire room to massive CPUs. Then came the era of personal computers, followed by external hard drives and USB sticks. Now, storage has become practically invisible, floating somewhere between data centers and, well, the clouds—probably the ones in the sky. Cloud computing continues to evolve, As cloud computing evolves, optimizing costs without sacrificing performance has become a real concern.  How can organizations truly future-proof their cloud strategy while reducing costs? Let’s explore new-age cloud optimization strategies in 2025 designed for maximum performance and cost efficiency.

Smarter Cloud Strategies: Cutting Costs While Boosting Performance

1. AI-Driven Cost Prediction and Auto-Optimization

When AI is doing everything else, why not let it take charge of cloud cost optimization too? Predictive analytics powered by AI can analyze usage trends and automatically scale resources before traffic spikes, preventing unnecessary over-provisioning. Cloud optimization tools like AWS Compute Optimizer and Google’s Active Assist are early versions of this trend.

  • How it Works: AI tools analyze real-time workload data and predict future cloud resource needs, automating provisioning and scaling decisions to minimize waste while maintaining performance.
  • Use case: Netflix optimizes cloud costs by using AI-driven auto-scaling to dynamically allocate resources based on streaming demand, reducing unnecessary expenditure while ensuring a smooth user experience.

2. Serverless and Function-as-a-Service (FaaS) Evolution

That seamless experience where everything just works the moment you need it—serverless computing is making cloud management feel exactly like that. Serverless computing eliminates idle resources, cutting down costs while boosting cloud performance. You only pay for the execution time of functions, making it a cost-effective cloud optimization technique.

  • How it works: Serverless computing platforms like AWS Lambda, Google Cloud Functions, and Azure Functions execute event-driven workloads, ensuring efficient cloud resource utilization while eliminating the need for constant infrastructure management.
  • Use case: Coca-Cola leveraged AWS Lambda for its vending machines, reducing backend infrastructure costs and improving operational efficiency by scaling automatically with demand. 

3. Decentralized Cloud Computing: Edge Computing for Cost Reduction

Why send all your data to the cloud when it can be processed right where it’s generated? Edge computing reduces data transfer costs and latency by handling workloads closer to the source. By distributing computing power across multiple edge nodes, companies can avoid expensive, centralized cloud processing and minimize data egress fees.

  • How it works: Companies deploy micro data centers and AI-powered edge devices to analyze data closer to the source, reducing dependency on cloud bandwidth and lowering operational costs.
  • Use case: Retail giant Walmart leverages edge computing to process in-store data locally, reducing latency in inventory management and enhancing customer experience while cutting cloud expenses.

4. Cloud Optimization with FinOps Culture

FinOps (Cloud Financial Operations) is a cloud cost management practice that enables organizations to optimize cloud costs while maintaining operational efficiency. By fostering collaboration between finance, operations, and engineering teams, FinOps ensures cloud investments align with business goals, improving ROI and reducing unnecessary expenses.

  • How it works: Companies implement FinOps platforms like Apptio Cloudability and CloudHealth to gain real-time insights, automate cost optimization, and enforce financial accountability across cloud operations.
  • Use case: Early adopters of FinOps were Adobe, which leveraged it to analyze cloud spending patterns and dynamically allocate resources, leading to significant cost savings while maintaining application performance. 

5. Storage Tiering with Intelligent Data Lifecycle Management

Not all data needs a VIP seat in high-performance storage. Intelligent data lifecycle management ensures frequently accessed data stays hot, while infrequently used data moves to cost-effective storage. Cloud-adjacent storage, where data is stored closer to compute resources but outside the primary cloud, is gaining traction as a cost-efficient alternative. By reducing egress fees and optimizing storage tiers, businesses can significantly cut expenses while maintaining performance.

  • How it’s being done: Companies use intelligent storage optimization tools like AWS S3 Intelligent-Tiering, Google Cloud Storage’s Autoclass, and cloud-adjacent storage solutions from providers like Equinix and Wasabi to reduce storage and data transfer costs.
  • Use case: Dropbox optimizes cloud storage costs by using multi-tiered storage systems, moving less-accessed files to cost-efficient storage while keeping frequently accessed data on high-speed servers. 

6. Quantum Cloud Computing: The Future-Proof Cost Gamechanger

Quantum computing sounds like sci-fi, but cloud providers like AWS Braket and Google Quantum AI are already offering early-stage access. While still evolving, quantum cloud computing has the potential to process vast datasets at lightning speed, dramatically cutting costs for complex computations. By solving problems that traditional computers take days or weeks to process, quantum computing reduces the need for excessive computing resources, slashing operational costs.

  • How it works: Cloud providers integrate quantum computing services with existing cloud infrastructure, allowing businesses to test and run quantum algorithms for complex problem-solving without massive upfront investments.
  • Use case: Daimler AG leverages quantum computing to optimize battery materials research, reducing R&D costs and accelerating EV development.

7. Sustainable Cloud Optimization: Green Computing Meets Cost Efficiency

Running workloads when renewable energy is at its peak isn’t just good for the planet—it’s good for your budget too. Sustainable cloud computing aligns operations with renewable energy cycles, reducing reliance on non-renewable sources and lowering overall operational costs.

  • How it works: Companies use carbon-aware cloud scheduling tools like Microsoft’s Emissions Impact Dashboard to track energy consumption and optimize workload placement based on sustainability goals.
  • Use case: Google Cloud shifts workloads to data centers powered by renewable energy during peak production hours, reducing carbon footprint and lowering energy expenses. 

The Next Frontier: Where Cloud Optimization is Headed

Cloud optimization in 2025 isn’t just about playing by the old rules. It’s about reimagining the game entirely. With AI-driven automation, serverless computing, edge computing, FinOps, quantum advancements, and sustainable cloud practices, businesses can achieve cost savings and high cloud performance like never before.

Organizations that embrace these innovations will not only optimize their cloud spend but also gain a competitive edge through improved efficiency, agility, and sustainability. The future of cloud computing in 2025 isn’t just about cost-cutting—it’s about making smarter, more strategic cloud investments.

At Mantra Labs, we specialize in AI-driven cloud solutions, helping businesses optimize cloud costs, improve performance, and stay ahead in an ever-evolving digital landscape. Let’s build a smarter, more cost-efficient cloud strategy together. Get in touch with us today!

Are you ready to make your cloud strategy smarter, cost-efficient, and future-ready with AI-driven, serverless, and sustainable innovations?

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