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Kaspersky Shares Practical AI Safety Tips for Children on Safer Internet Day

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Editor’s note: On Safer Internet Day, cybersecurity firm Kaspersky addresses a growing concern for families navigating the rapid adoption of AI by Generation Alpha. As children increasingly use AI-powered tools for learning, entertainment, and everyday questions, the company outlines practical guidance for parents on how to frame AI as a helpful tool without overlooking its risks. The focus is on education, supervision, and the responsible use of digital assistants, rather than restriction alone. The guidance reflects broader questions around digital literacy, data privacy, and online safety that are becoming central as AI tools enter daily life at an early age.

Key points

  • Parents are encouraged to explain what AI tools are and are not, emphasizing their limitations and potential inaccuracies.
  • Children should be taught to verify AI-generated information and avoid using it for sensitive topics without adult input.
  • Built-in safety settings and content filters on devices and platforms are highlighted as a first layer of protection.
  • Verifying the authenticity of AI-powered apps and limiting permissions is presented as essential to reducing privacy risks.
  • Ongoing dialogue between parents and children is positioned as key to safe and informed AI use.

Why this matters

As AI tools become embedded in everyday digital experiences, early exposure is shaping how the next generation learns, searches for information, and interacts online. For parents, this raises new challenges around trust, privacy, and digital wellbeing. For the broader tech ecosystem, it underscores the importance of responsible design, clear safeguards, and digital literacy as AI adoption expands beyond adults. Guidance like this reflects how cybersecurity and education are becoming tightly linked as AI use moves into younger age groups.

What to watch next

  • How AI platforms continue to develop and communicate child safety and parental control features.
  • Adoption of digital literacy practices by families and schools as AI use grows.
  • Ongoing discussion around data privacy and age-appropriate AI access.

Disclosure: The content below is a press release provided by the company/PR representative. It is published for informational purposes.

Born between 2010 and 2025, Gen Alpha aren’t just growing up with technology – they’re actively living it. These digital natives are already wielding smartphones, tablets, and AI-powered tools with the confidence of seasoned users, navigating everything from gaming and social media to online learning platforms with remarkable ease. But the question that concerns parents and security experts is whether we are giving our kids too powerful technology, too soon. On Safer Internet Day, Kaspersky security experts are sharing practical tips to help parents turn AI from a potential threat into a trusted ally for the younger generation.

The first line of defence is building AI awareness

Children already discovered that ChatGPT, DeepSeek and other neural networks can answer questions faster than you can find the right answer in Google, and Alexa can play music without pressing a single button.

So, the only solution is to become children’s AI support. Begin by explaining that these digital assistants aren’t friends, pets, or even real people. They’re sophisticated tools that can be helpful, but also potentially misleading, biased, or simply wrong. Then teach them to cross-check information with multiple sources, just like they’d verify facts in a school project.

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When discussing AI with children, emphasize that they should never fully trust AI answers, especially for sensitive topics like health, mental wellbeing, or safety concerns. Always encourage them to verify information and never share personal details or documents with AI systems.

Enabling safely filters

Most AI platforms and smart devices come with built-in safety features that are often overlooked or misunderstood. Spend some time to check the privacy settings and content filters and, if possible, tailor them to match your family’s values and your child’s maturity level. This is a basic protection against inappropriate content, privacy breaches, and potentially harmful interactions.

However, not all services and platforms provide an opportunity to set up content filters and fully control children’s online activity. To create safer digital environment for your children consider using parental control tools like Kaspersky Safe Kids. It allows parents to not only to hide inappropriate content and prevent specific apps and websites from being opened, but also helps balance children’s time spent online with screen time management.

Checking the AI-powered app’s authenticity

In a world where AI apps are popping up faster than you can say “chatbot,” verifying app authenticity is essential. Only download apps from official stores and inform your children about the importance of not installing anything from unfamiliar sources. Look up the company behind the app and check whether they have a website and legitimate business presence. Teach your kids to limit their apps’ permissions and do not give access to data unless it’s necessary for the apps to work.

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Staying involved and informed

A basic understanding of the range of problems your child is willing to entrust to AI is already significant. By asking simple questions like “What did you ask AI today? Did it give you the right answer?” you’ll be teaching your children to openly discuss with you the use of AI and problems they might face. When they mention using ChatGPT for homework, ask them to show you what they’ve learned. When they talk about their favourite voice assistant, ask about the topics they like to discuss and funny particularities they noted.

When you actively participate in your child’s AI journey, you transform from a concerned parent into a trusted guide. They’ll seek your input because they know you’re interested in their digital experiences, not just trying to control them. But while allowing children some AI freedom, you must always remain vigilant about their online safety and healthy growth,” comments Andrey Sidenko, Cyber Literacy Projects Lead at Kaspersky.

About Kaspersky

Kaspersky is a global cybersecurity and digital privacy company founded in 1997. With over a billion devices protected to date from emerging cyberthreats and targeted attacks, Kaspersky’s deep threat intelligence and security expertise is constantly transforming into innovative solutions and services to protect individuals, businesses, critical infrastructure, and governments around the globe. The company’s comprehensive security portfolio includes leading digital life protection for personal devices, specialized security products and services for companies, as well as Cyber Immune solutions to fight sophisticated and evolving digital threats. We help millions of individuals and nearly 200,000 corporate clients protect what matters most to them. Learn more at www.kaspersky.com

Risk & affiliate notice: Crypto assets are volatile and capital is at risk. This article may contain affiliate links. Read full disclosure

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Paradigm builds pro-grade prediction market terminal for institutional traders

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Paradigm builds pro-grade prediction market terminal for institutional traders

Paradigm is building a pro‑grade prediction market terminal, eyeing an internal MM unit and S&P‑style index product as Kalshi’s valuation jumps to $22B on surging volumes.

Paradigm is building a dedicated prediction market trading terminal aimed squarely at professional traders and market makers, in one of the clearest signs yet that real‑money event markets are being treated as an emerging asset class rather than a curiosity. The project, led by Paradigm partner Arjun Balaji and initiated in late 2025, is designed to give sophisticated users Bloomberg‑style tools to trade, analyze and route liquidity across a growing ecosystem of on‑chain and regulated prediction platforms, according to a recent report in Fortune.

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The San Francisco‑based crypto investment firm is simultaneously weighing the launch of an internal prediction market‑making business, while working with researchers on a “prediction market index” that would package multiple event contracts into a single, tradable structure, explicitly modeled on benchmarks such as the S&P 500. Such an index could mirror earlier experiments with volatility and DeFi indices, and follows a broader wave of venture capital interest in the sector; one recent Forbes analysis noted that prediction market startups attracted $3.7 billion in new capital and “minted young billionaires at Polymarket and Kalshi” as trading volumes exploded.

Paradigm has already begun aggregating prediction market data into a public panel, a necessary precondition for any institutional‑grade terminal product. The firm is also one of the most aggressive financiers of regulated prediction venue Kalshi: in December 2025, Kalshi announced a $1 billion Series E funding round at an $11 billion valuation, led by Paradigm and joined by Sequoia, Andreessen Horowitz, ARK Invest and others, doubling its value in under two months, as first reported by TechCrunch and corroborated by company statements.

That bet has continued to pay off. A subsequent funding round reported in March 2026 lifted Kalshi’s valuation again, to $22 billion, after a further $1 billion raise, according to coverage compiled by Yahoo Finance and The Wall Street Journal. As prediction markets move from sub‑$100 million monthly volumes in early 2024 to more than $13 billion by the end of 2025, according to research cited by Forbes, the emergence of a dedicated Paradigm‑backed terminal, internal liquidity provision and index products suggests the asset class is being refashioned into financial infrastructure, rather than treated as a sideshow to spot crypto.

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Deepcoin becomes first CEX to integrate Polymarket ‘event contracts’

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Deepcoin becomes first CEX to integrate Polymarket 'event contracts'

Deepcoin is the first centralized exchange to integrate Polymarket event contracts, syncing quotes, liquidity and clearing so users can trade real‑world events with CEX tooling.

Summary

  • Deepcoin has launched synchronized “Event Contracts” in partnership with Polymarket, becoming the first centralized exchange to plug directly into its markets.
  • The integration offers real‑time quotes, shared liquidity and unified clearing, letting users trade Polymarket‑style contracts with CEX speed and tooling.
  • Deepcoin says it will keep refining the product toward a more “pure and professional” event‑trading experience tied to real‑world outcomes.

Cryptocurrency exchange Deepcoin has entered a formal partnership with prediction market platform Polymarket to launch “Event Contracts,” marking the first time a centralized exchange has integrated directly with Polymarket’s real‑money event markets. Announced on April 1, the tie‑up allows Deepcoin users to access “real quotes and liquidity support synchronized with global top event markets” while trading through standard exchange accounts, according to a company statement reported by ChainCatcher.

Under the new structure, both sides have implemented “deep integration of underlying logic and clearing synchronization,” so that positions taken via Deepcoin are effectively mirrored one‑for‑one with corresponding Polymarket contracts. This design means users can “directly participate in popular contracts on Polymarket through their Deepcoin accounts, enjoying CEX trading speed” and order‑book style execution that aligns with “professional trading habits,” the exchange said.

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Deepcoin framed the launch as the first step in building out a dedicated, institutional‑grade venue for real‑world event trading. The platform stated it would “continue to refine its products in the future to create a more pure and professional trading experience,” signaling plans to iterate on contract design, risk management and user analytics as volumes scale. By routing demand from a centralized venue into on‑chain prediction markets, the partnership effectively opens CEX rails into a segment historically dominated by niche DeFi interfaces and bespoke OTC flows.

The move lands just as regulated event markets and decentralized prediction protocols are drawing heightened attention from both venture capital and regulators. In March, Kalshi’s latest financing pushed its valuation to $22 billion as demand for macro and political contracts surged, according to coverage compiled by Yahoo Finance, while a recent Forbes analysis described prediction markets as “on the cusp of becoming core financial infrastructure” amid rising institutional interest. At the same time, U.S. Commodity Futures Trading Commission enforcement director David Miller has warned that insider‑trading laws apply fully to prediction markets, underscoring the compliance pressure that CEX integrations like Deepcoin’s will have to navigate.

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U.S. BTC ETFs post first monthly inflows since October

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ETF AUM (CheckonChain)

U.S.listed spot bitcoin ETFs ended March with $1.32 billion in net inflows to record their first monthly inflows since October, SoSoValue data shows.

This follows four consecutive months of net outflows, which coincided with bitcoin declining by as much as 50% from its October all time high of $126,000.
November saw $3.5 billion in outflows, followed by $1.1 billion in December, $1.6 billion in January, and $206 million in February.

March also marked bitcoin’s first positive monthly candle in six months, suggesting a potential shift in momentum.

ETF assets under management have remained relatively resilient, however. Holdings declined from 1.38 million BTC in October to a low of 1.28 million BTC, a drop of roughly 7%, and have since recovered to around 1.31 million BTC, according to CheckonChain.

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ETF investors remain underwater on average, with an estimated cost basis near $84,000 compared to a current spot price of about $68,000.

ETF AUM (CheckonChain)
ETF AUM (CheckonChain)

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Galaxy Digital’s (GLXY) testnet suffers hack but no client funds or information were compromised

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Galaxy Digital's (GLXY) testnet suffers hack but no client funds or information were compromised

Galaxy Digital (GLXY), the digital asset financial services firm founded by Mike Novogratz, said it recently contained a cybersecurity incident involving unauthorized access to an isolated development workspace, according to a statement from a company spokesperson.

“An immaterial amount of company funds used for testing within the isolated development workspace was impacted,” the spokesperson said in emailed comments. The loss was less than $10,000, according to a person with knowledge of the matter.

The firm emphasized that the affected environment was used solely for research and development and was not connected to its core infrastructure, production systems, trading platforms or client accounts.

Galaxy said it detected the intrusion and moved quickly to contain it, secure the compromised workspace and implement additional precautionary measures across its on-chain infrastructure.

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“No client funds or client account information were accessed or at risk at any point based on our review to date,” Galaxy said, adding that all platforms and services remain fully operational and secure for clients.

Hacks and exploits remain a persistent risk in the crypto industry, where the combination of open-source code, large pools of onchain liquidity and uneven security practices creates an attractive target for attackers.

Billions of dollars are lost to smart contract exploits, phishing schemes and infrastructure breaches, with industry estimates often exceeding $1–2 billion annually in recent years.

Even when incidents are contained, and client assets are not impacted, breaches can erode trust, trigger heightened regulatory scrutiny and underscore the operational risks facing firms operating in largely irreversible, always-on financial systems.

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Galaxy is a diversified financial services and investment firm focused on the digital asset and blockchain sector, providing institutional clients with trading, asset management, lending, advisory and custody services.

The firm operates across several core business lines, including global markets, asset management and digital infrastructure, while also running businesses in areas like crypto mining, staking and data center operations.

Positioned as a bridge between traditional finance and crypto, Galaxy offers institutional-grade access to digital assets and related technologies, alongside investments in blockchain ventures and emerging areas such as AI-powered infrastructure.

The company said it is continuing to review the incident and will provide updates as appropriate.

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Read more: Bitcoin’s quantum threat is real, but far from an existential crisis, Galaxy says

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What Does it Mean for Bitcoin?

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What Does it Mean for Bitcoin?

Warren Buffett, the legendary investor and chairman of Berkshire Hathaway, revealed on CNBC this week that his firm purchased approximately $17 billion in US Treasury bills at the latest auction. Is a stock market crash coming and what does it mean for Bitcoin (BTC)?

Key takeaways:

  • Berkshire held $373 billion in cash or cash equivalents as of 2025’s close, more than double the levels in 2023.

  • The firm’s rising cash reserves typically precede major stock market crashes, a bad sign for Bitcoin.

Buffett still sees better value in cash than in stocks

Buffett’s message is straightforward: Berkshire does not see the recent equity pullback as a sufficiently attractive buying opportunity.

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For context, the S&P 500 has fallen about 5.75% since reaching a record high in January.

S&P 500 weekly performance chart. Source: TradingView

Buffett said stocks are not “substantially” cheaper after the decline and described the sell-off as “nothing” compared with earlier downturns in which markets fell more than 50%.

That helps explain Berkshire’s latest Treasury-bill purchase. The company ended 2025 with about $373 billion in cash and equivalents, up from a record $334.2 billion a year earlier and more than double its level at the end of 2023.

Buffett, who famously called Bitcoin “rat poison,” typically gets into cash before major stock crashes, historical data shows.

In 1998, for instance, Buffett began trimming Berkshire’s stock exposure and raising cash, pushing the company’s cash and cash-equivalents holdings to $13.1 billion, or about 23% of total assets.

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Berkshire’s cash and cash-equivalents holdings chart. Source: GuruFocus.COM

By mid-2000, that figure had climbed to nearly $15 billion, or roughly 25% of assets, before Berkshire started deploying capital into bargains as the Dot-com bubble burst.

Bitcoin’s positive correlation with stocks may hurt prices

Bitcoin has traded more like a stock than a traditional safe haven for much of the post-2020 period, often moving in the same direction as US equities, especially the tech-heavy Nasdaq.

As of Wednesday, the 20-week rolling correlation coefficient between the two markets was positive at 0.47.

Nasdaq Composite and BTC/USD’s 20-week correlation coefficient chart. Source: TradingView

If Buffett’s risk-off strategy is correct, then Bitcoin should see another crash alongside stocks. Fresh quantum-security concerns, war-driven inflation risks, and nearly 50% US recession odds are putting pressure on the BTC price.

Berkshire’s portfolio decisions have also leaned away from crypto-adjacent finance.

In the first quarter of 2025, the firm fully exited Nu Holdings, a crypto-friendly fintech company, after building its position in 2021 and 2022. It secured about $250 million in profits from these investments.

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Multiple analysts predict BTC’s price to drop to as low as $30,000 in 2026.