KeyCaliber, the market innovator in continuous threat exposure management (CTEM), launched its automated exposure assessment to readily give customers actionable insight into its highest security priorities from a business perspective.

Today’s cybersecurity teams are overloaded and challenged to keep up with their growing number of vulnerabilities and alerts. The average enterprise has a backlog of 100,000 vulnerabilities and can generate anywhere from 5,000 to 200,000 security alerts per day. Prioritization becomes the key to combating the volume and effectively reducing risk to improve cyber resilience.

KeyCaliber’s innovative technology calculates exposure and risk as it relates to business context and investment. Using its proprietary Impact Score, via machine learning, each asset is given a business impact score.  This allows security teams to know exactly which assets are mission-critical, or the “Crown Jewels”, and how to pinpoint and prioritize their efforts. This unique capability goes beyond typical security scorecards and applies the business context needed to make cybersecurity decisions and actions with confidence and business relevance.

“It’s not enough for enterprises to know their vulnerabilities and their external attack surface; it’s now imperative that they can quickly optimize security teams to ensure the right focus and investment,” said Roselle Safran, Founder and CEO of KeyCaliber, “Our customers are able to use KeyCaliber’s solution to identify their business risk and address their gaps with precision and efficiency.”

KeyCaliber’s continuous threat exposure management solution uses existing security telemetry and machine learning rather than exhausting security teams – and the rest of the enterprise – with interviews and surveys. Its newly released one-time assessment tool reveals which assets are most important, where their greatest business risk lies and provides remediation recommendations. This assessment tool gives cybersecurity leaders an immediate view of their risk and security landscape. Popular use cases for KeyCaliber’s assessments include ransomware readiness reports, business impact reviews, m&a diligence, asset management audits, and more.

KeyCaliber is expanding its service provider network by allowing its partners to deliver the CTEM assessments to its customers. Service provider customers are able to quickly see how to prioritize risks aligned with their strategic goals so they can secure what matters most to their success, and that builds great confidence in their service providers.

“Businesses need to have the ability to understand their most high risk assets. The role of today’s security programs is all about finding possible vulnerabilities and reducing the risk of assets as fast as possible,” said Seb Eades, Co-Founder of Considered Cyber Strategies. “We are working with KeyCaliber because we see real value in their CTEM assessments helping business and supporting cybersecurity teams in their roles.”

To learn more about KeyCaliber’s cyber threat exposure assessment tool, please visit our website, keycaliber.com. For service providers interested in KeyCaliber, please contact us at partners@keycaliber.com.

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The release of OpenAI`s ChatGPT marked a turning point for the global AI industry. The chatbot, which became the fastest-growing app in history with 100 million users in just two months, turned artificial intelligence into one of the biggest stories in 2023. So, it may come as no surprise that ChatGPT was the most visited Wikipedia article last year.

According to data presented by AltIndex.com, the ChatGPT article was visited almost 50 million times last year, far more than any other topic.

ChatGPT More Popular than Cristiano Ronaldo or Blockbuster Movies

When looking for answers, most people turn to Wikipedia. So, the most-viewed articles give a pretty good picture of what interests society and what knowledge people are seeking. According to data from the Wikimedia Foundation, English Wikipedia received more than 84 billion visits in 2023, with people reading topics from sports competitions and football players to box office movies. Still, none compete with ChatGPT, English Wikipedia’s most popular article of the year.

The fastest-growing app marked its first anniversary in November 2023. In that time, it reached over 180 million users and dominated headlines around the globe. In line with this huge public interest, the English Wikipedia ChatGPT article hit between 100,000 and 400,000 page views almost every day, bringing the 2023 total to a whopping 49.4 million page visits. This huge number is even more impressive when compared to other trending Wikipedia topics in 2023.

Statistics show the ChatGPT was more popular last year than the world`s highest-paid athlete, Cristiano Ronaldo, or blockbuster movies Oppenheimer and Barbie. The two movies got 28.3 million and 18 million page views in 2023, respectively, while the Cristiano Ronaldo article was clicked 17.4 million times.

Generative AI Industry to Grow by 250% in Five Years

The huge public interest in ChatGPT and generative AI proves the enormous potential this still-developing market has. A decade ago, it was hard to imagine companies and consumers worldwide using generative AI daily to automate tasks, write documents, do market research, or even basic coding. However, the surging demand for these tools will help generative AI become one of the largest revenue streams in the AI industry, generating 25% of total revenue by 2028.

According to a Statista survey, the generative AI industry is expected to grow 48% year-over-year and hit $66.6bn in 2024. By 2028, this figure will jump over $156bn, showing a massive 250% growth in five years.

The full story and statistics can be found here: https://altindex.com/news/chatgpt-wikipedia

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According to an analysis by Stocklytics.com, the generative AI market will hit 1 trillion by 2031, with a whopping CAGR of 48.05%. Companies like Amazon, Microsoft, Google, and Nvidia envision the most gains from this impending growth.

Edith Reads, the site’s financial analyst, remarks:

In the wake of the development of new AI tools, there’s been an escalated interest and demand in the technology. The growing curiosity about how they operate and how much they can help has propelled its immense success. With new innovative tech designs set in motion, we can expect the domain to garner an impressive trajectory in the coming years.

The start of AI tools like ChatGPT aroused an intense buzz around automation and chatbot technology. Soon enough, the domain saw a flooding increase in its tools, boosting its market share and popularity ratings. ChatGPT remains the most successful AI tool, commanding a massive user base of over 180.5 million users and up to 1.7 billion visits in November 2023. The full story and statistics can be found here.  Generative AI to Become a $1 Trillion Market by 2031

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The strategic partnership ushers in a new era for Web3, revolutionising cross-chain dApp and Web2 app integration.

Singapore, 8 January 2024 — aelf is advancing cross-chain interoperability through a strategic partnership with ChainsAtlas. By utilising ChainsAtlas’ innovative virtualisation technology, aelf will enable decentralised applications (dApps) from diverse blockchains to seamlessly migrate and integrate into the aelf blockchain, regardless of the dApps’ smart contract specifications. This collaboration marks a significant step towards a globally interconnected and efficient blockchain ecosystem, breaking down the silos between blockchains.

Khaniff Lau, Business Development Director at aelf, shares, “The strategic partnership with ChainsAtlas is a significant step towards realising our vision of a seamlessly interconnected blockchain world. With this integration, aelf is set to become a hub for cross-chain activities, enhancing our ability to support a wide array of dApps, digital assets, and Web2 apps. This collaboration is not just about technology integration; it’s about shaping the future of how services and products on blockchains interact and operate in synergy.”

Jan Hanken, Co-founder of ChainsAtlas, says, “ChainsAtlas was always built to achieve two major goals: to make blockchain development accessible to a broad spectrum of developers and entrepreneurs and, along that path, to pave the way for a truly omnichain future.”

“By joining forces with aelf, we are bringing that visionary future much closer to reality. As we anticipate the influx of creativity from innovators taking their first steps into the world of Web3 on aelf, driven by ChainsAtlas technology, we are excited to see these groundbreaking ideas come to life,” adds Hanken.

The foundation for true cross-chain interoperability is being built as aelf integrates ChainsAtlas’ Virtualization Unit (VU), enabling the aelf blockchain to accommodate both EVM and non-EVM digital assets. This cross-chain functionality is accomplished through ChainsAtlas’ virtualisation technology, allowing aelf to interpret and execute smart contracts written in other languages supported by ChainsAtlas, while also establishing state transfer mechanisms that facilitate seamless data and asset flow between aelf and other blockchains.

Through this partnership, aelf blockchain’s capabilities will be enhanced as it is able to support a more comprehensive range of dApps and games, and developers from diverse coding backgrounds will now be empowered to build on aelf blockchain. This partnership will also foster increased engagement within the Web3 community as users can gain access to a more diverse range of digital assets on aelf.

Looking ahead, the partnership between aelf and ChainsAtlas will play a pivotal role in advancing the evolution of aelf’s sidechains by enabling simultaneous execution of program components across multiple VUs on different blockchains.

Stay updated on aelf’s news and engage with the aelf community on:

Website: https://aelf.com

Telegram: https://t.me/aelfblockchain

Discord: https://discord.gg/bgysa9xjvD

–

About aelf

aelf, a high-performance Layer 1 featuring multi-sidechain technology for unlimited scalability. aelf blockchain is designed to power the development of Web3 and support its continuous advancement into the future. Founded in 2017 with its global hub based in Singapore, aelf is one of the pioneers of the mainchain-sidechain architecture concept. Incorporating key foundational components, including AEDPoS, aelf’s variation of a Delegated Proof-of-Stake (DPoS) consensus protocol; parallel processing; peer-to-peer (P2P) network communication; cross-chain bridges, and a dynamic side chain indexing mechanism, aelf delivers a highly efficient, safe, and modular ecosystem with high throughput, scalability, and interoperability.

aelf facilitates the building, integrating, and deploying of smart contracts and decentralised apps (dApps) on its blockchain with its native C# software development kit (SDK) and SDKs in other languages, including Java, JS, Python, and Go. aelf’s ecosystem also houses a range of dApps to support a flourishing blockchain network. aelf is committed to fostering innovation within its ecosystem and remains dedicated to driving the development of Web3 and the adoption of blockchain technology.

About ChainsAtlas

ChainsAtlas introduces a new approach to Web3 infrastructure, blending multiple blockchain technologies and smart contract features to create a unified, efficient processing network. Its core innovation lies in virtualization-enabled smart contracts, allowing consistent software operation across different blockchains. This approach enhances decentralized applications’ complexity and reliability, promoting easier integration of existing software into the blockchain ecosystem.

The team behind ChainsAtlas, driven by the transformative potential of blockchain, aims to foster global opportunities and equality. Their commitment to building on existing blockchain infrastructure marks a significant step towards a new phase in Web3, where advanced and reliable decentralized applications become the norm, setting new standards for the future of decentralized networks.

Disclaimer: The information provided in this press announcement is for general informational purposes only and does not constitute legal, financial, or investment advice. aelf makes no representations or warranties of any kind, express or implied, regarding the accuracy, completeness, or reliability of the information provided in this press announcement. Any reliance you place on such information is strictly at your own risk. Blockchain technology and cryptocurrency involve inherent risks, including but not limited to market volatility, regulatory changes, and potential security vulnerabilities. By accessing and using the information provided in this press announcement, you agree to indemnify and hold aelf, its officers, directors, employees, and agents harmless from and against any and all claims, liabilities, damages, losses, or expenses arising out of or in connection with your use of the information or participation in aelevate. aelf reserves all rights not expressly granted in this press announcement.

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As one of the largest markets in the technology space, the robotic industry drew a lot of attention from investors and traders looking to expand their portfolios with stocks leading the automation revolution. Although this sector is home to several prominent players, each having its unique standing in the market, some robotics stocks still have more potential to outperform the market than others.

According to data from AltIndex.com, Symbiotic, iRobot, and Trimble are the top three stocks by AI score and have the highest potential to outperform the market in the next six months.

Symbiotic Has the Third-Highest AI Score of All Tracked Companies

The robotics industry is home to companies shaping the future. Intuitive Surgical, ABB, and iRobot are some of the biggest players in this market, and their innovation and diverse applications bring huge investment opportunities. But when it comes to robotics stock with the highest AI score, three names stand out.

According to the alternative data platform AltIndex, which analyzes millions of data signals from thousands of publicly traded companies to forecast future price movements and overall company performance, Symbiotic is the top robotics stock by AI score.

Last week, Symbiotic hit an AI score of 78, more than any other company in this market, meaning it’s most likely to outperform the market in the next six months. Moreover, statistics show the US producer of automated warehouse systems has the third-highest AI score of all publicly listed companies AltIndex analyzes. Novo Nordisk and Berkshire Hathaway are the only two companies ahead of Symbiotic, each having a point higher AI score.

Symbiotic stock price has surged by more than 350% in the past year, rising from $12.20 to $54.1. The stock’s sentiment or the general opinion for investing in it across top trading forums is also high. The company has a sentiment score of 88 out of 100 and more positive discussions in stock forums than most other companies in this industry.

iRobot ranked second among the robotics companies with an AI score of 62. Statistics show the AI score of the US consumer robot company, famously known for creating a floor-vacuuming robot, Roomba, increased by 20 points in the past year, while its stock price dropped by 23% in this period and now stands at $38,50.

Trimble rounds the top three names in the robotics market with an AI score of 61, increasing from the 53 points recorded in December last year. However, just like iRobot, Trimble has also seen its price drop by more than 20% in the past year, standing at $53.20 last week.

Two-thirds of Top Robotics Stocks Have a Sell Signal

Stocks with higher AI scores are assigned buy signals, while those with lower scores below 50 are designated sell signals. When it comes to the robotics stocks list, two-thirds of them, except the top three, have a sell signal. Cognex Corporation and Sarcos hold the bottom of the list, with the lowest AI scores of 33 and 32.

So far, AltIndex stock picks, or the list of the stocks to invest in based on their AI score, have shown high accuracy with an 83% success rate in predicting the stock market.

The full story and statistics can be found here: https://altindex.com/news/robotics-stocks-predicted-to-outperform

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