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September 03, 2022
šŸ’„One Of The Most Secure Multichain Swap Tools AroundšŸ’„

(Dinarian Note: SAVE THIS TOOL, it is a 100% DECENTRALIZED swap/exchange tool with XRP included. If/When exchanges are shut down or inaccessible, this tool could be PRICELESS!)

How Rubic Provides Security for its Cross-Chain Swaps

As the blockchain industry is moving towards interoperability and Web3, there are more and more ways to move assets across different blockchains. However, with the increase of hacker attacks, there have been many concerns about the security and safety of assets that are being transferred across chains.

Rubic’s One-Click Cross-Chain Swap tool can solve many of those issues. Why should you trust Rubic for safe cross-chain swaps? How does Rubic maintain security for its users and partnered projects? Explore it all right in this article.

Are Cross-Chain Swaps Secure?
A cross-chain swap is a smart contract technology that enables transfers of tokens between two unique blockchains. It allows users to swap tokens directly to another blockchain without any intermediary or central authority.

Cross-chain transfers are often risky, but they unlock vast opportunities across the multi-chain world — like staking, farming, buying specific tokens, etc. It has gained a lot of traction in the last year, and similarly, it has become a favorite attack vector for hackers. Taking into account only the bridges, a whopping $2 billion has been stolen across 13 cross-chain bridges this year, which totals 69% of all funds stolen in 2022 so far.

Cross-chain bridges are inherently vulnerable to hacker attacks. They’re classified into trusted (custodial) and trustless (noncustodial). The first applies to a third party to make a transfer, and the second relies only on smart contracts and algorithms. Both feature significant flaws and technical weaknesses. The trusted bridges lose out due to their centralized aspect, while the trustless become vulnerable to exploits coming from the software. Is it possible to eliminate these breaches and avoid hacker attacks?

So far, there hasn’t been a perfect solution to solve this conundrum and to provide impeccable security in cross-chain technology. All of the recent hacker attacks (the Ronin Bridge protocol, Harmony One’s Horizon Bridge) elicit many questions regarding the safety of cross-chain swaps.

To bring forth the interoperable future, cross-chain technology has evolved from just cross-chain bridges alone to cross-chain aggregators. Cross-chain aggregators bring together bridges and DEXs, allowing users to spend less time and effort on transferring their assets across blockchains, compared to cross-chain bridges.

Also, aggregators tackle the issue of security differently, mainly because they integrate multiple solutions and can maintain swaps through different providers. Imagine that one evening you decide to cook dinner and suddenly your electricity has been cut off. Thanks to the fact that you have a gas oven, you still can prepare your meal. This analogy helps to explain how cross-chain aggregators work: the integration of numerous bridges and DEXs allows them to switch off the provider that has gone out of service, and redirect the user to a different, working one.

Moreover, cross-chain aggregators usually have a larger infrastructure, team, and developer support, which allows for maintaining security on a higher level and elaborating on more innovative measures to ensure the safety of swaps. The Rubic One-Click Cross-Chain Swap service has become one of those security innovators.

How Does Rubic Maintain Security?
Rubic, as one of the first players in the cross-chain market, along with DEX & bridge aggregators, has elaborated on the robust practices of maintaining security for its users and the integrators of its SDK and widgets.

Rubic’s cross-chain tools are built on the following core principles:

Sustainability

Rubic combines many bridges and providers and guarantees swaps even if one or many providers are down. Thanks to Rubic’s model architecture (Cross-Chain, On-Chain, Status Manager, Token Manager, Revert Manager), it continues to execute basic functions even if there’s something wrong with other modules.

Due to the aggregation of 70+ bridges and DEXs, Rubic guarantees sufficient liquidity when making any swap (which cannot be said when using a different bridge) even if some of Rubic’s providers stop operating, run out of liquidity, or get hacked.

Decentralization

Rubic doesn’t exploit any external servers: only Frontend and Blockchain. This significantly decreases attack vectors (like DDOS). To find the best swap deal for most of the cross-chain and on-chain providers, Rubic appeals to the provider’s API, and then the data is processed through their services.

Security

Like most other crypto projects, Rubic adopts security measures such as:

Audits — A security check of Rubic’s smart contract codes is provided by independent companies and developers.

Bug Bounty Program — A reward program for developers who find critical vulnerabilities in Rubic’s smart contracts.

Status Monitoring — In case of any critical issues, Rubic goes into Maintenance mode, notifying all the users and integrators.

On top of this, Rubic has implemented additional security practices: performance monitoring, accident management, and Rubic’s SDK Process Management.

Rubic’s Security Pillars

Performance Monitoring
To ensure the high performance of Rubic’s cross-chain tools, Rubic’s team utilizes Provider/Blockchain Monitoring Dashboard, scores providers for stuck transactions, daily volume, refunds, and checks out SDK live status.

Rubic utilizes automated tools for monitoring social networks on any potential risks with bridges or chains. If any issues arise, we use direct channels of communication with all bridges and providers to react quickly.

Accident Management
In case of an accident that might occur with one of Rubic’s integrated providers/blockchains, Rubic’s platform as well as Rubic’s SDK/Widget continue to function by taking the following measures:

All of Rubic’s integrators are immediately notified (via Discord, Telegram).
A compromised provider/bridge is switched off for all integrators by getting paused in the smart contract. In turn, Rubic continues working as usual by redirecting transactions to other providers.

In case of any issues with Rubic’s SDK, Rubic takes the same actions — immediate notification of its integrators and switching off of the compromised provider/bridge. Rubic’s technical support is also ready to assist 24/7.

Rubic’s SDK Process Management
Rubic is not just a platform enabling cross-chain swaps for individuals, but also a cross-chain toolkit for crypto projects, and all of these principles work for Rubic’s SDK/Widget integrators as well.

Continuous integration has allowed Rubic to build up the most robust principles of testing, staging, and production environment. Seamless, fast, and secure SDK management is fulfilled by the following:

A code approval process includes the review of several developers and a release approval process includes the review of the Product Manager and QA.

The smart contracts are audited.
Rubic uses direct communication channels for updates (new version release updates, comments) to reduce the possibility of installing a compromised version.

Rubic’s SDK Architecture
Rubic Cross-Chain tool & service has a unique architecture that provides the ultimate cross-chain swapping experience for its users and integrators. It’s being constantly improved and streamlined on all levels.

Overall, the architecture of the protocol is based on three parts: the core SDK modules, the modules related to external API (providers, CoinGecko), and the blockchain Interaction module (RPC Node).

1. Rubic’s SDK, which is also deployed in its main app, consists of the following modules: Cross-Chain Manager, On-Chain Manager, Status Manager, Token Manager, and Revert Manager.

2. Rubic’s SDK interacts with blockchains through the RPC Node. Rubic’s SDK accesses blockchain nodes to retrieve blockchain meta-information, invoke smart contracts, or send transactions.

3. Cross-Chain Manager incorporates on-chain swaps as well. To find the best swap option and build up the optimal route, Rubic’s SDK reaches out to the providers’ API, and then the transaction is sent to Rubic’s smart contracts, which call the contracts of cross-chain providers, in return.

4. On-Дhain Manager implies instant trades and means that you swap tokens on the same blockchain. To deliver transaction data and rates, Rubic appeals to 0x and 1inch as on-chain providers via external API. For the rest of the providers, Rubic receives the data from the blockchain through the RPC Node.

5. Status Manager module provides the status of a cross-chain swap and is connected to the ā€˜My Trades’ section shown on app.rubic.exchange. In the cases of Celer and DeBridge, Status Manager reaches directly to the smart contract. Simbiosis and LIFI call their API. Finally, the Status Manager gets back with the ultimate status of a transaction.

6. Token Manager module keeps the information about tokens and interacts with CoinGecko to receive the USD value of each of them.

7. Revert Manager ensures the operation of the auto-refund function. If any error occurs in a transaction, the funds are saved in the form of transit tokens, and afterward, get back to their owners. In the case of Symbiosis, Rubic’s SDK contacts the Symbiosis Revert API. On Rubic’s app, it’s being realized through the ā€œMy Tradesā€ section — ā€œRecent Tradesā€. If a trade hasn’t been completed in the target network, users will see ā€œRevert Transaction.ā€

Improving Security Further
Even in its nascent stage of development, cross-chain technology has already gained enough traction to become a favored hacker attack vector. Now, even a small breach can turn into a dramatic exploit with huge losses, sometimes almost for the whole market. Hacker attacks will likely continue having victims around the crypto sphere, and it’s highly necessary to put maximum attention to the security pillars of a cross-chain project.

As a huge crypto hub for cross-chain aggregators, bridges, and DEXs, Rubic has always taken care of the security of assets that are being transferred through Rubic’s app and SDK. As hacker attacks are getting more sophisticated, Rubic’s team is constantly developing new features allowing it to level up the security for its users and partnered projects.

Security is a must. A high level of security is one of Rubic’s top priorities.

What is Rubic?

Rubic has been one of the first players in the cross-chain market, and also one of the first DEX & bridge aggregators. Rubic aggregates 15 blockchains with 70+ DEXs and bridges (which is the biggest number amongst aggregators so far).

As the One-Click Cross-Chain Swap service & tool for crypto projects, Rubic allows swapping 15,500+ tokens on and across 15 blockchains with higher transaction speeds, lower fees, better rates, and improved security maintenance.

https://rubic.exchange/widget?promoCode=sj5BeFaN

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Revolut Leak Shows the Cost of Constant ID Collection
Revolut’s mistake is the news, but the bigger problem is the growing number of companies being encouraged or required to keep copies of our most sensitive identity documents.

Online bank Revolut has revealed that it gave out sensitive personal and financial information of an undisclosed number of its customers in response to a fake government request.

The information that was handed over to an ā€œunauthorized third partyā€ reportedly includes names, dates of birth, occupations, addresses, phone numbers, account numbers, transaction histories (including Bitcoin), and even copies of government-issued IDs and onboarding verification selfies.

Revolut claims that derived biometric face data was not.

The company said that the data was handed over in response to an email that came from a real government agency’s domain, but was not actually sent or authorized by that agency.

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Revolut said that it complied with the request ā€œunder the reasonable belief that it was an authentic government agency requestā€ – and only later found out that it was not.

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Revolut notice explaining customer identity and financial data was shared after an unauthorized government email request.

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This means that even if you close your account, your identity documents don’t disappear.

And while the incident with Revolut happened in the financial sector, it’s by no means the only one that requires customers to hand over sensitive identity information. Discord, a popular chat service, said in an October 9, 2025 security update that government ID photos of approximately 70,000 users may have been exposed after a third-party customer service provider got hacked.

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The more companies are forced to collect and store such information, and the more of it they have, the more opportunities there are for this data to be leaked, either by the company itself or a third party it works with. That's what makes governments' push for more ID checks just to access ordinary parts of life so reckless.

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This Is The Income A Family Needs To Live Comfortably In Every US State

Here’s the short version of what it takes for a family of four to live comfortably in 2026 by state:

In Massachusetts, you’d need nearly $330,000 a year - the highest figure in the entire country. Only three states clear the $300,000 mark: Massachusetts, Hawaii, and California. At the other end of the spectrum, Mississippi is the most affordable at about $188,000. That’s a full $142,000 less than what you’d need in Massachusetts.

So… how much does a family of four need in your state?

This map shows the pre-tax income a household with two working adults and two kids needs to live comfortably in every U.S. state.

The numbers come fromĀ SmartAssetĀ (as of February 2026). They’re based on the familiar 50/30/20 budget: 50% for necessities, 30% for discretionary spending, and 20% for savings or other goals. These aren’t bare-minimum survival numbers—they’re what it takes to live pretty well while still putting money aside.

And asĀ Visual CapitalistĀ notes,Ā Massachusetts sits at the very top of that list.Ā Massachusetts tops the ranking, with a family of four needing $329,555 per year to meet the 50/30/20 benchmark.

Hawaii follows at $313,165, while California ranks third at $302,682.

Rank State Income needed for family of four (2026)

  • 1 - Massachusetts - $329,555
  • 2 - Hawaii - $313,165
  • 3 - California - $302,682
  • 4 - Connecticut - $298,189
  • 5 - New Jersey - $295,110
  • 6 - New York - $291,533
  • 7 - Colorado - $283,213
  • 8 - Washington - $281,798
  • 9 - Oregon - $280,966
  • 10 - Vermont - $280,384
  • 11 - Alaska - $272,064
  • 12 - New Hampshire - $267,904
  • 13 - Rhode Island - $264,659
  • 14 - Minnesota - $263,078
  • 15 - Maryland - $257,837
  • 16 - Maine - $250,931
  • 17 - Montana - $249,434
  • 18 - Pennsylvania - $247,936
  • 19 - Illinois - $244,109
  • 20 - Virginia - $242,944
  • 21 - Nevada - $242,278
  • 22 - Indiana - $241,696
  • 23 - Wisconsin - $238,451
  • 24 - Arizona - $236,870
  • 25 - Utah - $235,789
  • 26 - Delaware - $228,134
  • 27 - Ohio - $226,221
  • 28 - Idaho - $226,054
  • 29 - Florida - $223,392
  • 30 - New Mexico - $223,142
  • 31 - Nebraska - $223,059
  • 32 - Missouri - $217,734
  • 33 - Georgia - $214,573
  • 34 - Michigan - $214,323
  • 35 - South Carolina - $212,909
  • 36 - North Carolina - $212,410
  • 37 - Wyoming - $212,410
  • 38 - Oklahoma - $211,910
  • 39 - North Dakota - $210,496
  • 40 - Kansas - $207,917
  • 41 - Iowa - $204,422
  • 42 - Texas - $203,424
  • 43 - West Virginia - $202,592
  • 44 - South Dakota - $201,760
  • 45 - Alabama - $198,931
  • 46 - Louisiana - $197,933
  • 47 - Tennessee - $197,267
  • 48 - Arkansas - $195,437
  • 49 - Kentucky - $194,854
  • 50 - Mississippi - $187,533

Connecticut, New Jersey, and New York aren't far behind, bringing the number of states with comfortable-income thresholds above $290,000 to six.

Colorado and Vermont Make the Top 10

As expected, many of the highest income thresholds are concentrated in the Northeast and along the West Coast.

However, Colorado has the seventh-highest threshold in the country at $283,213, ranking above Washington and Oregon.

Vermont rounds out the top 10 at $280,384, despite having theĀ second-smallest populationĀ of any U.S. state. Meanwhile, nearby states like New Hampshire, Maine, and Rhode Island all fall outside the top 10.

Just Six States Come in Below $200,000

Despite theĀ wide range in living costsĀ across the country, only six states have a comfortable-income threshold below $200,000 for a family of four.

Mississippi ranks lowest at $187,533, followed by Kentucky.Ā The states of Arkansas, Tennessee, Louisiana, and Alabama also fall below the $200,000 mark.

The gap between Massachusetts and Mississippi exceeds $142,000 per year, meaning the Massachusetts benchmark is about 76% higher.

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šŸ¤–Can Decentralized AI Stop Big Tech from Owning the Future of Robotics?šŸ¤–
The race to build the future of robotics is no longer just about robots. It's about who controls the intelligence behind them.
Ā 
Over the last three years, a small group of companies has emerged as the backbone of the AI revolution. Microsoft provides cloud infrastructure. NVIDIA supplies the chips. Google, OpenAI, Anthropic, Meta, and others develop the models. Together, they control much of the compute, data, and software stack powering modern AI.
Ā 
Now that AI is moving into the physical world, many are asking a bigger question:
Ā 
Will these same companies end up controlling robotics too?
Ā 
It's a valid concern.
Ā 
The latest generation of robots relies on enormous amounts of compute, simulation, training data, and foundation models. Many robotics startups today are built on infrastructure provided by large technology companies. NVIDIA's Omniverse is becoming a key simulation environment for robot training. Microsoft Azure is powering the training of robotics foundation models. Physical AI startups increasingly depend on hyperscale cloud infrastructure to train and deploy intelligent systems. Recent partnerships across the industry show just how central Big Tech has become to robotics development.
But while Big Tech is building the highways, another movement is trying to ensure it doesn't own every destination.
Ā 
That movement is decentralized AI.
Ā 
Why Decentralized AI Exists
Ā 
The idea behind decentralized AI is simple. Instead of a handful of companies owning the models, compute infrastructure, data pipelines, and intelligence networks, these resources are distributed across thousands of participants.
Ā 
This means anyone can contribute compute, contribute models, validate outputs and can participate.
The most visible example today is the decentralized AI network known as Bittensor (@bittensor). The network has evolved into a large ecosystem of specialized AI markets called subnets, where participants compete to provide useful machine intelligence and are rewarded based on performance. Rather than relying on a single company, intelligence is generated and validated by a distributed network of miners and validators.
Ā 
Think of it as an attempt to build an open marketplace for AI instead of a world where intelligence is rented from a few centralized providers.
Ā 
Why This Matters for Robotics
Ā 
Robotics has a unique problem. Unlike chatbots, robots operate in the physical world. They need to perceive environments, make decisions, move safely and they need to learn continuously.
Ā 
The challenge is that collecting and training on real-world robotic data is incredibly expensive. That's one reason large companies have such an advantage. They can afford the compute, simulation environments, and data infrastructure needed to train robotics models at scale.
Ā 
This is where decentralized systems become interesting.
Ā 
Instead of one company collecting all the data and training all the models, decentralized networks could allow thousands of contributors to participate in building robotic intelligence.
Ā 
Imagine a future where:
  • Warehouse robots contribute operational data.
  • Delivery robots contribute navigation data.
  • Factory robots contribute manipulation data.
  • Developers contribute models.
  • Validators evaluate performance.
The resulting intelligence becomes a shared network rather than a proprietary asset.
Ā 
That vision is beginning to emerge.
Ā 
Bittensor's Move Toward Physical AI
Ā 
While many people associate Bittensor (@bittensor) with language models and AI services, parts of the ecosystem are increasingly exploring embodied intelligence and robotics.
Ā 
One example is Kinitro, a subnet focused on incentivizing the training and evaluation of embodied AI systems. The goal is to create competitive environments where developers build robotic intelligence and are rewarded based on performance.
Ā 
The broader Bittensor ecosystem has also expanded into compute marketplaces, distributed inference systems, bandwidth infrastructure, and AI coordination layers that could eventually support robotics workloads. Several subnets now focus on decentralized compute, confidential inference, data transfer, and model training, critical components for future robotic systems.
Ā 
In other words, the pieces are starting to appear.
Ā 
Not a decentralized robot network yet.
Ā 
But the infrastructure that could support one.
Ā 
Beyond Bittensor: The Rise of Physical AI Networks
Ā 
Bittensor isn't alone.
Ā 
Across the industry, researchers and builders are experimenting with decentralized approaches to physical AI.
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New research published in 2026 introduced the concept of DAO-enabled decentralized physical AI, or DePAI. The idea combines robotics, decentralized infrastructure, AI models, governance systems, and human oversight into a single framework. Instead of centralized control, robots and physical infrastructure could be coordinated through transparent rules and distributed ownership models.
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At the same time, developers are exploring decentralized operating systems for robots that allow machines to communicate directly with each other and with distributed compute resources. These architectures are designed to make robotic systems more resilient and less dependent on a single cloud provider.
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The goal is not simply decentralization for its own sake.
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The goal is resilience.
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If one server fails, the system continues.
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If one company disappears, the network survives.
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If one participant leaves, innovation continues.
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But Here's the Reality
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Decentralized AI faces the same challenge every decentralized technology faces.
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Big Tech has resources. A lot of resources.
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Training advanced robotics models requires enormous compute budgets, sophisticated simulation environments, access to specialized hardware, and vast amounts of real-world data.
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That's why many robotics startups still partner with major cloud providers and AI companies. It's often the fastest path to deployment.
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And there are legitimate concerns about whether decentralized networks can maintain quality, reliability, and security at the scale required for industrial robotics. Even researchers studying decentralized AI systems have highlighted risks around concentration, incentives, governance, and network security.
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The challenge isn't just decentralizing intelligence.
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It's decentralizing intelligence while maintaining performance.
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That's much harder.
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The Most Likely Outcome
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The future probably won't be fully centralized. And it probably won't be fully decentralized either. Instead, we're likely heading toward a hybrid model.
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Large technology companies will continue providing chips, cloud infrastructure, simulation platforms, and foundational research.
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At the same time, decentralized AI networks will emerge as alternative coordination layers where intelligence, data, and economic value can be shared more openly.
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The companies building robots may use NVIDIA hardware.
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Train on Azure.
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Run foundation models from OpenAI.
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But they may also participate in decentralized data networks, decentralized compute markets, and decentralized intelligence protocols.
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The future of robotics could end up looking less like a monopoly and more like an ecosystem.
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The Bigger Question
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The real question isn't whether decentralized AI can eliminate Big Tech.
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It can't.
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At least not anytime soon.
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The real question is whether decentralized AI can prevent a future where a handful of companies control every robot, every model, every dataset, and every decision made by the machines operating around us.
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As robots become workers, assistants, delivery drivers, factory operators, and even economic agents, that question becomes increasingly important.
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Because the battle for the future of robotics is no longer about hardware.
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It's about who owns the intelligence.
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And that battle is just getting started.
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