detecting

Improving Identity and Permissions Management for Multicloud Deployments with CIEM

Source Node: https://platodata.network/platowire/improving-identity-and-permissions-management-for-multicloud-deployments-with-ciem/
Time Stamp: April 11, 2023 9:45 AM - Modified On: April 11, 2023 - Published By:
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Republished By Plato

As more and more organizations adopt multicloud deployments, managing identities and permissions across multiple cloud environments has become increasingly complex. Cloud Identity and Access Management (CIAM) solutions have emerged as a way to simplify this process, but they often fall short when it comes to managing identities and permissions across multiple clouds. This is where Cloud Infrastructure Entitlement Management (CIEM) comes in.CIEM is a relatively new category of cloud security solutions that focuses on managing entitlements across multiple cloud environments. It provides a centralized view of all entitlements across all

The Role of AI in Detecting Fake NFTs: An Overview

Source Node: https://platodata.network/platowire/the-role-of-ai-in-detecting-fake-nfts-an-overview/
Time Stamp: March 31, 2023 1:18 PM - Modified On: March 31, 2023 - Published By:
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Republished By Plato

Non-fungible tokens (NFTs) have become increasingly popular in recent years, with the market for these digital assets growing rapidly. However, with the rise of NFTs has come the issue of fake NFTs, which can be difficult to detect and can lead to significant financial losses for buyers. This is where artificial intelligence (AI) comes in, as it can play a crucial role in detecting fake NFTs and ensuring that buyers are getting what they paid for.So, how does AI help in detecting fake NFTs? One way is through image recognition

The Role of AI in Detecting Fake NFTs: An Informative Overview

Source Node: https://platodata.network/platowire/the-role-of-ai-in-detecting-fake-nfts-an-informative-overview/
Time Stamp: March 31, 2023 1:18 PM - Modified On: March 31, 2023 - Published By:
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Republished By Plato

As the popularity of non-fungible tokens (NFTs) continues to grow, so does the risk of fraud and counterfeit NFTs. With the rise of blockchain technology, it has become easier for artists and creators to sell their digital art as NFTs. However, this has also made it easier for scammers to create fake NFTs and sell them to unsuspecting buyers. This is where artificial intelligence (AI) comes in to play a crucial role in detecting fake NFTs.AI can be used to analyze the metadata of an NFT, such as the creator's

Detecting Living-Off-the-Land Attacks Through Behavioral Analysis

Source Node: https://zephyrnet.com/leveraging-behavioral-analysis-to-catch-living-off-the-land-attacks/
Time Stamp: March 16, 2023 7:00 PM - Modified On: March 16, 2023 - Published By:
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Published by Plato

Living-off-the-land attacks (LOLA) are a type of cyber attack that uses existing system tools and applications to gain access to a network or system. These attacks are difficult to detect because they use legitimate tools and processes, making them hard to distinguish from normal system activity. However, through the use of behavioral analysis, organizations can detect and prevent these attacks before they cause significant damage.Behavioral analysis is a method of analyzing user and system activity to identify suspicious or malicious behavior. This includes monitoring user accounts for unusual activity, such

Detecting Living-Off-the-Land Attacks Using Behavioral Analysis

Source Node: https://zephyrnet.com/leveraging-behavioral-analysis-to-catch-living-off-the-land-attacks/
Time Stamp: March 16, 2023 7:00 PM - Modified On: March 16, 2023 - Published By:
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Published by Plato

Living-off-the-land attacks (LOLA) are a type of cyberattack that utilizes existing legitimate tools and services to gain unauthorized access to a system or network. This type of attack is becoming increasingly popular among hackers due to its low cost and high success rate. As such, it is important for organizations to be aware of the threat posed by LOLA and take steps to detect and prevent them.One way to detect LOLA is through behavioral analysis. This involves monitoring the behavior of users and systems on the network for any suspicious

TransUnion Reports Increase in Fraudulent Activity

Source Node: https://zephyrnet.com/fraud-attempts-rise-significantly-transunion-report/
Time Stamp: March 15, 2023 8:49 PM - Modified On: March 15, 2023 - Published By:
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Published by Plato

As technology continues to evolve, so too do the methods used by criminals to commit fraud. According to a recent report from TransUnion, the credit reporting agency, fraudulent activity has increased significantly in recent years. The report found that fraud attempts increased by 11% in 2019 compared to 2018, and that the total amount of money lost to fraud rose by 17%. The report also revealed that identity theft was the most common type of fraud, accounting for nearly half of all fraud attempts. This type of fraud involves criminals

Russian Missile Early Warning Program in Space Delayed Further by Sanctions

Source Node: https://zephyrnet.com/sanctions-further-delay-russian-missile-early-warning-program-in-space/
Time Stamp: March 12, 2023 11:00 AM - Modified On: March 12, 2023 - Published By:
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Published by Plato

The Russian missile early warning program in space has been delayed further due to the ongoing sanctions imposed by the United States and other western countries. This program, known as the Space-Based Missile Defense System (SBMDS), was intended to provide Russia with a comprehensive system of early warning of incoming missiles and other threats from space. The SBMDS was originally planned to be operational by 2021, but due to the sanctions, Russia has been unable to acquire the necessary components and technology needed to build the system. The sanctions have

Generative AI Increases Difficulty of Detecting Scientific Fraud

Source Node: https://zephyrnet.com/thanks-to-generative-ai-catching-fraud-science-is-going-to-be-this-much-harder/
Time Stamp: March 11, 2023 12:00 PM - Modified On: March 11, 2023 - Published By:
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Published by Plato

In recent years, the use of artificial intelligence (AI) has become increasingly popular in the scientific community. AI has been used to automate processes, analyze data, and even generate new ideas and theories. However, with the rise of generative AI, the detection of scientific fraud has become more difficult. Generative AI is a type of AI that is capable of creating new data from existing data. This means that it can generate new ideas, theories, and even entire research papers from existing data. This has made it easier for researchers

Detecting Fraudulent Science with Generative AI: Challenges Ahead

Source Node: https://zephyrnet.com/thanks-to-generative-ai-catching-fraud-science-is-going-to-be-this-much-harder/
Time Stamp: March 11, 2023 12:00 PM - Modified On: March 11, 2023 - Published By:
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Published by Plato

In recent years, the use of generative AI to detect fraudulent science has become increasingly popular. Generative AI is a type of artificial intelligence that can generate new data from existing data. It is being used to detect fraudulent science by analyzing large datasets and identifying patterns that could indicate fraud. However, there are several challenges that must be addressed before generative AI can be used effectively to detect fraudulent science. One of the biggest challenges is the lack of data available to train the AI. Generative AI requires large

How Can Platforms Utilize AI to Better Protect Against Copyright Infringement?

Source Node: https://zephyrnet.com/could-ai-require-platforms-to-do-more-to-prevent-infringement/
Time Stamp: March 11, 2023 10:41 AM - Modified On: March 11, 2023 - Published By:
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Published by Plato

In the digital age, copyright infringement has become a major issue for content creators. Platforms like YouTube, Instagram, and other social media sites have been struggling to keep up with the ever-increasing amount of content being uploaded, making it difficult to monitor for copyright infringement. Fortunately, artificial intelligence (AI) is providing a solution to this problem. AI can help platforms better protect against copyright infringement by automatically detecting copyrighted content, providing more accurate copyright claims, and streamlining the process of resolving copyright disputes. One way AI can help protect against

Research Reveals Novel Insights into Immune Cell Detection of Pathogens

Source Node: https://zephyrnet.com/study-creates-a-radical-new-view-of-how-immune-cells-recognize-threats/
Time Stamp: March 10, 2023 5:46 PM - Modified On: March 10, 2023 - Published By:
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Published by Plato

Recent research has revealed new insights into how immune cells detect and respond to pathogens. This research could lead to new treatments for diseases caused by pathogens, such as influenza, malaria, and HIV.The immune system is the body's defense against infection and disease. It is composed of many different types of cells, including white blood cells, which are responsible for detecting and responding to pathogens. White blood cells use a variety of methods to detect and respond to pathogens, including the recognition of molecules on the surface of the pathogen.Recent

Investigating Algorithmic Fairness: A Study of a Researcher’s Work

Source Node: https://zephyrnet.com/the-researcher-who-would-teach-machines-to-be-fair/
Time Stamp: March 10, 2023 3:20 PM - Modified On: March 10, 2023 - Published By:
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Published by Plato

Algorithmic fairness has become an increasingly important topic in the world of data science and computer science. As algorithms are used to make decisions about people's lives, it is important to ensure that these decisions are fair and unbiased. Investigating algorithmic fairness is a complex and challenging task, and researchers have been working to develop methods to ensure that algorithms are fair and equitable.One researcher who has been particularly active in this field is Dr. Sorelle Friedler. Dr. Friedler is a professor of computer science at Haverford College, and she