Lifeboat Foundation

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~“May you live in interesting times”~

Having the blessing and the curse of working in the field of cybersecurity, I often get asked about my thoughts on how that intersects with another popular topic — artificial intelligence (AI). Given the latest headline-grabbing developments in generative AI tools, such as OpenAI’s ChatGPT, Microsoft’s Sydney, and image generation tools like Dall-E and Midjourney, it is no surprise that AI has catapulted into the public’s awareness.

In March 2023, MIT Technology Review revealed that Sam Altman, the CEO of OpenAI (ChatGPT), was the mystery investor behind the $180 million investment into stealth startup Retro Biosciences, a biotech company with the ambition of “adding 10 years to the human lifespan.” This investment marks the latest tech entrepreneur expressing their interest in longevity science and a new connection with innovative AI technology.

According to February 2023 reports, AI is continuing to gain traction in healthcare applications. Currently, the market is estimated at $14.6 billion (USD) with a compound annual growth rate (CAGR) of 47.6%, with solutions spread across various healthcare fields, such as patient data and risk analysis, precision medicine, cybersecurity, lifestyle management, and drug discovery.

The increasing convergence of AI technology and longevity science is sparking advancements in the sector, with established businesses, start-ups, and researchers utilizing the technology. Most recently, scientists explored how ChatGPT, an AI-based language model, was able to predict Alzheimer’s in 80% of cases when analyzing speech. However, it is not the only implementation.

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Today in the Moscone Center, San Francisco, at RSA Conference 2023 (RSAC), Google Cloud announced Google Cloud Security AI Workbench, a security platform powered by Sec-PaLM, a large language model (LLM) designed specifically for cybersecurity use cases.

Sec-PaLM modifies the organization’s existing PaLM model and processes Google’s proprietary threat intelligence data alongside Mandiant’s frontline intelligence to help identify and contain malicious activity, and coordinate response actions.

Play ransomware is notable for not only utilizing intermittent encryption to speed up the process, but also for the fact that it’s not operated on a ransomware-as-a-service (RaaS) model. Evidence gathered so far points to Balloonfly carrying out the ransomware attacks as well as developing the malware themselves.

Grixba and VSS Copying Tool are the latest in a long list of proprietary tools such as Exmatter, Exbyte, and PowerShell-based scripts that are used by ransomware actors to establish more control over their operations, while also adding extra layers of complexity to persist in compromised environments and evade detection.

Another technique increasingly adopted by financially-motivated groups is the use of the Go programming language to develop cross-platform malware and resist analysis and reverse engineering efforts.

A new “all-in-one” stealer malware named EvilExtractor (also spelled Evil Extractor) is being marketed for sale for other threat actors to steal data and files from Windows systems.

“It includes several modules that all work via an FTP service,” Fortinet FortiGuard Labs researcher Cara Lin said. “It also contains environment checking and Anti-VM functions. Its primary purpose seems to be to steal browser data and information from compromised endpoints and then upload it to the attacker’s FTP server.”

The network security company said it observed a surge in attacks spreading the malware in the wild in March 2023, with a majority of the victims located in Europe and the U.S. While marketed as an educational tool, EvilExtractor has been adopted by threat actors for use as an information stealer.

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Harvard.

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To protect its Confidential Computing cloud infrastructure and gain critical insights, Google leans on its relationships with chipmakers.

Pneumonia is a potentially fatal lung infection that progresses rapidly. Patients with pneumonia symptoms – such as a dry, hacking cough, breathing difficulties and high fever – generally receive a stethoscope examination of the lungs, followed by a chest X-ray to confirm diagnosis. Distinguishing between bacterial and viral pneumonia, however, remains a challenge, as both have similar clinical presentation.

Mathematical modelling and artificial intelligence could help improve the accuracy of disease diagnosis from radiographic images. Deep learning has become increasingly popular for medical image classification, and several studies have explored the use of convolutional neural network (CNN) models to automatically identify pneumonia from chest X-ray images. It’s critical, however, to create efficient models that can analyse large numbers of medical images without false negatives.

Now, K M Abubeker and S Baskar at the Karpagam Academy of Higher Education in India have created a novel machine learning framework for pneumonia classification of chest X-ray images on a graphics processing unit (GPU). They describe their strategy in Machine Learning: Science and Technology.

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Since its launch in November 2022, ChatGPT, an artificial intelligence (AI) chatbot, has been causing quite a stir because of the software’s surprisingly human and accurate responses.

The auto-generative system reached a record-breaking 100 million monthly active users only two months after launching. However, while its popularity continues to grow, the current discussion within the cybersecurity industry is whether this type of technology will aid in making the internet safer or play right into the hands of those trying to cause chaos.