Technology - TPD's Blog

Security Scanning during software development

The number of applications scanned has also increased considerably, with developers currently testing more than 17 new applications per quarter, more than quadruple the amount scanned a decade before. The study, which looked at almost half a million apps, uncovered fresh information from a diverse range of major and mid-sized businesses, commercial software providers, and open-source organizations.

The world is more connected than ever, according to research, with 4.66 billion active internet users worldwide. According to Chris Wysopal, who is the CTO of Veracode, scanning software as a pre-production stage in the final phase of the software development lifecycle is no longer sufficient. Scanning using a variety of testing tools must happen continually as a completely integrated part of the process, much as software is now distributed regularly.

Use of multiple scan types fix defects faster

Remote work for Digital anxiety

Since the start of the Covid-19 pandemic in early 2020, the number of people working from home has increased dramatically. This effort to prevent health hazards may have slowed the spread of the virus, but according to F-Secure, it may have also contributed to an increase in digital anxiety among remote workers. According to a recent survey, 67 percent of internet users who work from home, compared to 58 percent of other users, are increasingly concerned about their online security and privacy, even if nothing is wrong.

Intel Introduces Blockchain chip for Bitcoin and NFT Minting

The chip will be available later this year, with Block Inc, the Jack Dorsey-led company that just changed its name from Square Inc to emphasize its expanding focus on blockchain, among the first customers. To cash in on the growing popularity of cryptocurrencies, Intel Corp announced a new processor for blockchain applications such as Bitcoin mining and minting NFTs on Friday.

3 Signs that makes Die your Startup

Startups die frequently, quickly, and painfully. Whatever statistics you believe in, whether it’s the one that says 75% of venture-backed firms fail or the one that says 50% of all businesses fail within five years.

Of course, that doesn’t imply you should make a U-turn and cut your losses on the next street. Every company is unique, and how well yours thrives, in the long run, is determined by a variety of factors currently in play.

These elements include how well your product resonates with your market, how healthy your ROI is, and even how well you as a leader adapt to the demands of an unpredictably changing marketplace.

Truth be told, cutting your losses and fleeing maybe your greatest option for freeing up time and energy to establish a more sustainable (and profitable) business elsewhere. “Becoming able to quit things that don’t work is fundamental to being a winner,” says Tim Ferriss.

Here are three telltale signals that your firm is on its final legs, culled from startups whose founders abandoned them.

Masking in a negative Return On Investment

James Webb Space Telescope

The James Webb Space Telescope (JWST) is a space telescope that focuses on infrared astronomy. The telescope was developed by the US National Aeronautics and Space Administration (NASA) in partnership with the European Space Agency (ESA) and the Canadian Space Agency (CSA). The JWST was launched on an ESA Ariane 5 rocket from Kourou, French Guiana on December 25, 2021, and is set to follow the Hubble Space Telescope as NASA’s premier astrophysics mission. The telescope is named after NASA Administrator James E. Webb, who served from 1961 to 1968 and oversaw the Mercury, Gemini, and Apollo programs.

Prospect in Cloud Computing in 2022 and after

We’ve long stated that the next ten years in cloud computing will not be the same as the previous ten. With the momentum of the entire multitrillion-dollar IT industry behind it, the cloud has firmly planted its footprint on the other side of the gap.

Cloud technologies are being used by both sellers and buyers, and many are establishing their own value layers on top of the cloud. We expect innovation will continue to cluster around the main three U.S. clouds, as well as Alibaba in Asia-Pacific, in the coming years, with the ecosystem generating value on top of the hyper scalers hardware, software, and tools.

We do not, however, perceive this as a race to the bottom. Rather, we anticipate that the major public cloud vendors will continue to innovate, automate, and integrate their platforms to reduce costs. Hyperscale clouds will be used by other cloud providers and the ecosystem, including traditional information technology purchasers, to mine opportunities in their respective industries. It’s not a zero-sum game here.

Panasonic Factory towards “Zero Carbon Emission”

Carbon dioxide (CO2) is an odorless gas that is vital to life on the planet. CO2 is also known as a greenhouse gas, because its presence in the atmosphere can disturb the natural regulation of temperature, resulting in global warming.

CO2 levels have risen dramatically as a result of the Industrial Revolution and the exponential growth of manufacturing activity all over the world. The primary sources of CO2 are deforestation, agriculture, and the use of fossil fuels. China, the United States, India, Russia, and Japan are the top five countries that produce the most CO2, according to the most recent data from the Global Carbon Project.

Investors, corporate customers, and consumers are pressuring large firms around the world to adopt comparable efforts to address their contributions to the greenhouse effect, with many making “net-zero” emissions pledges to cut and counter their emissions.

Panasonic, which, according to estimates from the firm and other experts, is one of the world’s largest corporate carbon emitters, is only getting started. To offset the roughly 2.2 million metric tons of greenhouse gas emissions linked with the company’s operations, it will have to repeat its Wuxi accomplishment 37 times.

Cyber-attack on ICRC

Server with personal information of above 500,000 people faced a complex Cyber security attack. That information is linked with data from Red Cross and Red Crescent Movement. This incident triggered the renowned organizations to re-check and test the security of their data.

The server containing various services and information that ICRC was working on to reconnect people separated by wars, violence, etc. was detected an anomaly. And when the deep investigation was conducted, it was found that hackers took over the system and can access the data. To reduce the damage and to ensure the security of accessed data ICRC was forced to shut the servers off. Further to estimate the loss and identify the loopholes in the system independent audit firm was hired. Still, the genuine and authentic information regarding the hosts of the attack has not been confirmed. No ransom has been demanded in exchange for data so even a random guess or illogical move would create a blunder. ICRC is willing to communicate directly and confidentially so the hackers would respect the humanitarian action and the principles of ICRC would be preserved.

Artificial Intelligence for Cyber Security

AI is always known to be by learning. By digesting billions of data items, AI enhances its ability to “understand” cybersecurity dangers and risks. AI reasoning identifies risks more quickly. In seconds or minutes, AI evaluates correlations between risks such as malware files, strange IP addresses, or insiders.

Hackers can defeat security algorithms by targeting the data they train on and the warning flags they search for, thus machine learning and artificial intelligence can assist protect against cyber-attacks. According to internet statistics, the global market for artificial intelligence in cybersecurity is predicted to increase at a CAGR of 23.6 percent from 2020 to 2027, reaching $46.3 billion.

Because AI and machine learning can swiftly scan billions of data sets and hunt down a wide range of cyber dangers, from malware to shady behavior that could lead to a phishing attack, they are becoming increasingly crucial in cybersecurity.

Artificial intelligence aspires to mimic human intelligence. It has enormous potential in the field of cybersecurity. Artificial Intelligence (AI) systems can be trained to provide threat warnings, identify new types of malware, and protect critical data for enterprises if used correctly.

General Data Protection Regulation (GDPR)

The General Data Protection Regulation (GDPR) is a regulatory framework that establishes standards for the acquisition and processing of personal data among European Union citizens (EU). The General Data Protection Regulation (GDPR) is the world’s most stringent privacy and security law. Despite the fact that it was designed and passed by the European Union (EU), it imposes duties on organizations anywhere that target or collect data about EU citizens.

The GDPR major principles: