Technology

BlackBerry Reports 40 Percent Increase in New Malware Used in Cyberattacks

Published

2 years ago

June 25, 2024

5.2 attacks per minute detected between January and March 2024

WATERLOO, ON, June 25, 2024 /CNW/ — BlackBerry Limited (NYSE: BB; TSX: BB) today released its latest Global Threat Intelligence Report, revealing that BlackBerry® cybersecurity solutions detected and stopped 3.1 million cyberattacks (37,000 per day) in the first quarter of 2024. Between January and March 2024, BlackBerry detected 630,000 malicious hashes, representing a 40 percent increase from its previous reporting period. Sixty percent of attacks targeting industry were directed at critical infrastructure, including government, healthcare, financial, and communication industries, of which 40 percent targeted the financial sector.

“Each iteration of this report highlights startling new trends: novel malware is growing with no signs of stopping, and threat actors are highly motivated, be it for financial gain or to create chaos,” said Ismael Valenzuela, Vice President of Threat Research and Intelligence at BlackBerry. “In a year where over 50 countries are holding elections, geopolitical tensions are at an all-time high, and every nation will soon be fixated on the Olympic Games, the threat landscape can feel overwhelming to navigate. This report provides a snapshot of where threat actors are looking, how they are operating, and what we can expect in the coming months so defenders can be one step ahead.”

Highlights from the latest BlackBerry Global Threat Intelligence Report include:

The United States Severely Outnumbers the World in Cyberattacks: According to our internal telemetry, 82 percent of cyberattacks targeted the U.S. during this reporting period. Fifty-four percent of those attacks contained unique (new) malware, meaning attacks contained malware that was previously not observed.Attacks Based on Novel Malware Increased by 40 Percent Per Minute: BlackBerry observed a 40 percent per-minute increase in novel hashes (unique malware), compared to the previous reporting period. This represents an average of 7,500 unique malware samples per day targeting our customer base, or 5.2 per minute.Commercial Enterprise Threats Slowly but Surely Rise: 36 percent of all threats targeted commercial enterprises (including retail, manufacturing, automotive and professional services), a three percent increase from the last reporting period. Yet, this sector saw a 10 percent jump in instances of new malware. Commercial enterprise remains a target for threat actors as they grow more sophisticated, often using social engineering to obtain account credentials and distribute malware.CVEs (Common Vulnerabilities and Exposures) are Rapidly Weaponized in All Forms of Malware – Especially Ransomware and Infostealers: CVEs provide a framework for identifying, standardizing and publicizing known security vulnerabilities and exposures. Fifty six percent of the 8,900 CVEs reported during this reporting period were given a severity score of seven out of a possible 10. This represents a three percent increase from the previous reporting period.Despite Takedowns, Ransomware Groups Wreak Havoc: Globally, the top three ransomware groups active this period were LockBit, Hunters International, and 8Base.

These threats will continue to be underpinned by a politically charged year globally, with disinformation and deepfake campaigns continuing to be pervasive across social media. Russia’s invasion of Ukraine, the continuing conflict in the Middle East, and global elections will be the dominant variables in how threat actors select their targets and methodologies.

Based on its data analysis, the BlackBerry Threat Intelligence and Research team predicts that threat actors will continue to take extensive measures to carefully target their victims. A rise in new ransomware and infostealers indicates that private data will continue to be highly sought after by threat actors, where sectors like healthcare and financial services will be top targets for attack.

Download a copy of BlackBerry’s Global Threat Intelligence Report at BlackBerry.com, and register to attend the Global Threat Intelligence Report Deep Dive webinar on Wednesday, June 26th at 11:00 am EDT to discover more.

About BlackBerry
BlackBerry (NYSE: BB; TSX: BB) provides intelligent security software and services to enterprises and governments around the world. The company’s software powers over 235M vehicles. Based in Waterloo, Ontario, the company leverages AI and machine learning to deliver innovative solutions in the areas of cybersecurity, safety, and data privacy solutions, and is a leader in the areas of endpoint management, endpoint security, encryption, and embedded systems. BlackBerry’s vision is clear – to secure a connected future you can trust.

For more information, visit BlackBerry.com and follow @BlackBerry.

Trademarks, including but not limited to BLACKBERRY and EMBLEM Design, are the trademarks or registered trademarks of BlackBerry Limited, and the exclusive rights to such trademarks are expressly reserved. All other trademarks are the property of their respective owners. BlackBerry is not responsible for any third-party products or services.

Media Contacts:
BlackBerry Media Relations
+1 (519) 597-7273
mediarelations@BlackBerry.com

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SOURCE BlackBerry Limited

Technology

/C O R R E C T I O N — Applied Intuition, Inc./

Published

25 minutes ago

May 2, 2026

In the news release, Applied Intuition Collaborates with Heidelberg Materials to Advance Innovation in Quarry Operations with Autonomous Haulage Fleets, issued 30-Apr-2026 by Applied Intuition, Inc. over PR Newswire, we are advised by the company that changes have been made. The complete, corrected release follows, with additional details at the end:

Applied Intuition Collaborates with Heidelberg Materials to Advance Innovation in Quarry Operations with Autonomous Haulage Fleets

Deployment brings intelligent, vehicle-based autonomy to Australia, establishing a new operating model for construction and mining environments.

SUNNYVALE, Calif., April 30, 2026 /CNW/ — Applied Intuition, Inc., a leader in physical AI, today announced its collaboration with Heidelberg Materials, one of the world’s largest integrated manufacturers of building materials and solutions, to deploy autonomous haulage systems for Heidelberg Materials’ quarry operations, starting at a site in Australia.

Applied Intuition will provide its Self-Driving System (SDS) for Construction to support autonomous haulage operations within Heidelberg Materials’ fleet of construction and mining vehicles in Australia. The deployment marks the next real-world application of Applied Intuition’s autonomy platform in industrial environments. Upon successful completion, it will support the expansion of autonomous operations within Heidelberg Materials’ broader Australian network.

The collaboration also challenges the standard industry model. While autonomy solutions traditionally target the largest quarry sites, this system is designed for smaller operations, including those running just two 40-ton trucks, making it deployable across quarry sites of varying size worldwide.

“No two quarry or construction sites operate the same way, with different layouts, constraints and economics,” said Qasar Younis, co-founder and CEO of Applied Intuition. “We’ve built our platform to adapt to that reality. This partnership shows we can take the same core system used in large mining operations and apply it to smaller, infrastructure-constrained quarry sites, scaling it across hundreds of unique locations.”

For Heidelberg Materials, the partnership is aimed at enhancing safety and operational performance. It also reflects the need for an autonomy solution that can operate at large sites and smaller ones too, whereas traditional autonomous haulage systems are often too infrastructure-heavy or costly to scale. For Applied Intuition, it serves as a proof point that its autonomy platform is designed not just for one-off deployments, but for global scale across construction, quarry and mining environments of any size.

Applied Intuition’s system runs directly on the vehicle, with integrated perception, decision-making and safety systems onboard, enabling reliable operation without constant connectivity or heavy site infrastructure.

The collaboration builds on Applied Intuition’s growing presence in construction and mining autonomy and reinforces its broader physical AI strategy. The same core platform has already been deployed in other industries, including trucking and defense, with learnings from each domain contributing to continuous system improvements. Applied Intuition’s SDS platform strategy also enables the company to bring technologies proven in other domains into construction and mining, helping accelerate development and deployment.

Through this project, Applied Intuition demonstrates the range of its autonomy platform, from some of the largest mining trucks in the world to smaller quarry vehicles operating in constrained, lower-infrastructure environments. Together, these deployments highlight the company’s approach to building scalable autonomy for construction and mining from the ground up.

To learn more about how Applied Intuition is building the future of construction autonomy, visit applied.co.

About Applied Intuition
Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Gothenburg, Sweden; Bangalore; Seoul; and Tokyo. Learn more at applied.co.

Correction: An earlier version of this release incorrectly stated the location of the site noted in the first paragraph.

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SOURCE Applied Intuition, Inc.

Technology

MOREH Demonstrates Production-Ready LLM Inference on Tenstorrent Galaxy, Achieving DGX A100-Class Performance with Improved Cost Efficiency

Published

25 minutes ago

May 2, 2026

Reduces HBM Costs with GPU–Tenstorrent Heterogeneous Distributed Serving
First unveiled at Tenstorrent’s launch event, TT-Deploy, in San Francisco on May 1

SANTA CLARA, Calif., May 1, 2026 /PRNewswire/ — Moreh, an AI infrastructure software company, led by CEO Gangwon Jo, announced that it has successfully validated LLM inference performance on the Tenstorrent Galaxy Wormhole system using its proprietary ‘MoAI Inference Framework.’

Based on tests across leading Mixture-of-Experts (MoE) models—including GPT-OSS, Qwen, GLM, and DeepSeek—Moreh achieved LLM inference performance on Tenstorrent Galaxy Wormhole matching or surpassing NVIDIA DGX A100-class systems, demonstrating a compelling alternative to conventional GPU-centric AI infrastructure.

Moreh also improved cost efficiency by implementing a disaggregated serving architecture that combines GPUs with Tenstorrent Wormhole chips. By utilizing Tenstorrent processors as dedicated prefill accelerators, the company reduced reliance on high-cost HBM and lowered overall infrastructure costs.

The results were first unveiled at Tenstorrent’s launch event, TT-Deploy, held on May 1 in San Francisco.

As a strategic partner of Tenstorrent and a major external contributor to Metalium, Moreh showcased a live LLM inference demo at the event. Building on its experience operating AMD GPU-based production environments in real-world data centers, the company presented its latest technical achievements in ‘Production-Ready LLM Inference on Tenstorrent Galaxy.’

MoAI Inference Framework is a disaggregated inference solution that enables unified operation of heterogeneous GPUs and NPUs—including NVIDIA, AMD, and Tenstorrent—within a single cluster. This allows enterprises to build flexible AI infrastructure strategies without vendor lock-in.

Moreh CEO Gangwon Jo stated, “Achieving production-grade LLM inference performance and stability on Tenstorrent-based systems marks a significant milestone,” and added, “We will continue to enhance performance through deeper optimization across heterogeneous architectures and closer integration with Tenstorrent NPUs.”

Moreh is developing its own core AI infrastructure engine and, through its foundation LLM subsidiary Motif Technologies, is building end-to-end capabilities spanning both infrastructure and model domains. Simultaneously, the company is making its mark in the global market through collaborations with key partners such as AMD, Tenstorrent, and SGLang.

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SOURCE Moreh

Technology

US Startup PerZeption Inc. Announces Collaboration with Alcon Research

Published

25 minutes ago

May 2, 2026

BOSTON, MA, May. 1, 2026 /PRNewswire/ — Advancements in vision correction evaluation require methods that offer both precision and efficiency in detecting clinically meaningful visual differences. Addressing this need, PerZeption is set to present new data validating its AIM+ CSF modeling technology at the Association of Research in Vision and Ophthalmology (ARVO) annual meeting.

Attendees are invited to learn more about this innovative approach during the poster session on May 4, 2026, from 11:15 AM to 1:00 PM, at posterboard #0941.

“We are very excited to collaborate with Alcon, one of the largest companies within the Ophthalmology sector worldwide. “, Dr. Jan Skerswetat said. “The results, presented by Dr Derek Nankivil, indicate that our technology enables rapid, repeatable, and highly sensitive assessment of contrast vision.”

The abstract, titled ‘AIM+ CSF modeling enables efficient detection of clinically meaningful visual differences,’ outlines how PerZeption’s technology supports sensitive, low-burden visual assessment for vision correction evaluation. Data indicates that with approximately six adaptive displays of stimuli and two repeats, studies show around 20 subjects can achieve 90% power to detect a 1 JND (Just Noticeable Difference) change in AULCSF (Area Under the Log Contrast Sensitivity Function). This research also demonstrates AIM+ CSF’s stable repeatability in less than 3 minutes, absence of bias, and robust performance, validating its role as an effective tool for objective visual performance evaluation.

This joint effort highlights a shared dedication to advancing ophthalmology research and developing precise tools for visual assessment. The ARVO annual meeting serves as the world’s foremost event for ophthalmology research, offering a vital platform for sharing scientific breakthroughs and fostering dialogue within the global vision science community.

“In addition to all the exciting research presentations that leverage PerZeption technology at this years’ ARVO meeting, we are also proud to be showcasing PerZeption’s battery of functional tests at our booth, #4027.” Dr. Skerswetat added and noted that there will be opportunities to try out our technology.

This presentation at ARVO represents a significant step in the validation and recognition of PerZeption’s contributions to advanced visual assessment technologies.

About PerZeption Inc
PerZeption delivers vision testing with a rapid, self-administered, and adaptive psychophysical platform delivered via cloud-based software on standard tablets or all-in-one computers. Our flagship platform, Angular Indication Measurement (AIM), enables testing of over 20 visual functions. Our novel approach equips researchers and clinicians with a comprehensive range of visual functions and introduces new tests for which there are no currently available devices. We reduce chairtime. Self-administered tests on a single device in combination with proprietary methods that rapidly assess vision, reduce user’s burden and require minimal training or space, unlike bulky, specialized single-use devices. Finally, cloud-based delivery supports secure in-clinic and remote testing, ensuring consistent, trackable results for clinicians and pharmaceutical companies.

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SOURCE PerZeption