{"id":5080,"date":"2023-03-28T11:18:30","date_gmt":"2023-03-28T16:18:30","guid":{"rendered":"https:\/\/www.cybersecurityinstitute.com\/blog\/?p=5080"},"modified":"2023-03-28T11:23:49","modified_gmt":"2023-03-28T16:23:49","slug":"security-ai-ml-2023-03-27","status":"publish","type":"post","link":"https:\/\/www.cybersecurityinstitute.com\/blog\/index.php\/2023\/03\/28\/security-ai-ml-2023-03-27\/","title":{"rendered":"Security AI-ML News: 2023-03-27"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\"><a>Table of Contents<\/a><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>How to Use ChatGPT to Unlock New Levels of Innovation<\/li>\n\n\n\n<li>What Is Hypotenuse AI And How Can It Help Businesses? Source : https:\/\/www.techpinas.com\/2023\/02\/Hypotenuse-AI.html<\/li>\n\n\n\n<li>ChatGPT is being used to automatically write emails: Microsoft, Salesforce and TikTok creators are hopping on the trend<\/li>\n\n\n\n<li>AI in IoT Market to See Competition Rise<\/li>\n\n\n\n<li>This AI Program Can Sketch Your Thoughts With 80% Accuracy<\/li>\n\n\n\n<li>Anthropic, a ChatGPT Rival Founded by Daniela and Dario Amodei, Is Worth $4 Billion<\/li>\n\n\n\n<li>Grammarly Unveils AI Writing Assistant Inspired by ChatGPT: All Details<\/li>\n\n\n\n<li>Sophos Demonstrates How to Make ChatGPT a Cybersecurity Co-Pilot<\/li>\n\n\n\n<li>6sense Unveils Revolutionary AI-Powered Revenue Creation Technology<\/li>\n\n\n\n<li>GitHub unveils Copilot X: The future of AI-powered software development<\/li>\n\n\n\n<li>Critical flaw in AI testing framework MLflow can lead to server and data compromise<\/li>\n\n\n\n<li>Google opens up its AI language model PaLM to challenge OpenAI and GPT-3<\/li>\n\n\n\n<li>SEI Launches CERT Certificate in Data Science for Cybersecurity<\/li>\n\n\n\n<li>Concentric AI Announces Industry\u2019s First Support for Optimized Large Language Models Delivering Unmatched Data Security Posture Management<\/li>\n\n\n\n<li>Google Is Baking AI Into Gmail, Docs, And Other Workspace Apps &#8211; Here&#8217;s What It Can Do Read More: https:\/\/www.slashgear.com\/1227352\/google-is-baking-ai-into-gmail-docs-and-other-workspace-apps-heres-what-it-can-do\/<\/li>\n<\/ul>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" height=\"16\" width=\"16\" src=\"http:\/\/blank.ico\/\">&nbsp;<strong>How to Use ChatGPT to Unlock New Levels of Innovation<\/strong><br><em>Flash News 11<\/em><br>While the true risk or promise of generative AI will proceed to be debated, it\u2019s greater than sure that companies can unlock actual value for innovation by leaning into the appliance\u2019s superior language processing capabilities.<br>New ranges of client insights, extra environment friendly processes and faster ways of working are simply beneath the floor.<br>To put the device to the take a look at, we used ChatGPT to simulate how we would drive new product improvement.<br><br>1. The ideation course of: high quality enter yields a high quality output<br>Questions that result in extra questions result in potential insights.<br>This is the true energy of a device like ChatGPT.<br>But all of it begins with the query, and it pays to consider precisely what you need to know and find out how to body the query.<br><br>2. The discovery course of: much less time researching and extra time pondering<br>ChatGPT can do in seconds what conventional analysis would possibly take hours and days\u2014shortly collect data on a variety of subjects, kind via the info, and supply a view of what\u2019s vital and what is not.<br>3. Preparing to go in market: accelerating the inventive course of<br>Want to brainstorm copy for a advertising marketing campaign.<br>Or draft your new firm\u2019s mission assertion.<br>Or create a starter record of KPIs in your rising gross sales crew.<br>ChatGPT can shortly aid you get began.<br>Using ChatGPT, you may shortly brainstorm potential ideas for advertising campaigns and assist draft commercial copy.<br>Generative AI and the way forward for innovation<br>New idea improvement, accelerated analysis and discovery, and go-to-market technique are simply a few alternative areas to leverage generative AI.<br><strong>Link:<\/strong>&nbsp;<a href=\"https:\/\/flashnews11.com\/business\/entrepreneurship\/how-to-use-chatgpt-to-unlock-new-levels-of-innovation-entrepreneur\/\">https:\/\/flashnews11.com\/business\/entrepreneurship\/how-to-use-chatgpt-to-unlock-new-levels-of-innovation-entrepreneur\/<\/a><\/p>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" height=\"16\" width=\"16\" src=\"http:\/\/blank.ico\/\">&nbsp;<strong>What Is Hypotenuse AI And How Can It Help Businesses? Source : https:\/\/www.techpinas.com\/2023\/02\/Hypotenuse-AI.html<\/strong><br><em>Techpinas<\/em><br>Hypotenuse AI is a powerful artificial intelligence technology that can be used to optimize business processes and make accurate predictions.<br>It leverages the power of big data and machine learning to automate mundane tasks and make better decisions.<br>In this article, we&#8217;ll explore the many benefits of using Hypotenuse AI.<br>We&#8217;ll look at how it can help you save time and money while making more informed decisions with greater accuracy.<br>We&#8217;ll also discuss some of the key features of Hypotenuse AI that make it stand out from its competitors.<br>Hypotenuse AI can also be used to detect anomalies that might not be apparent through manual analysis.<br>This can alert you when something unusual is happening within your systems or when there is an opportunity for improvement.<br>It can also help you prioritize tasks, optimize processes, and generate reports that provide valuable insight into the efficiency of your operations.<br>Benefits of Using Hypotenuse AI<br>Automation<br>Hypotenuse AI is designed to automate mundane processes, like data entry and customer communication.<br>Accuracy<br>The accuracy rate of Hypotenuse AI is consistently higher than human-based models.<br>Improved Customer Service<br>By providing automated customer support through Hypotenuse AI, you&#8217;ll be able to offer quicker responses and better service levels than previously possible.<br>This can lead to happier customers and increased loyalty to your brand &#8211; a win-win situation.<br>What exactly can Hypotenuse AI do for businesses.<br>Here&#8217;s a few key benefits:<br>Superior Analytics<br>Improved Customer Support<br>Enhanced Decision-Making<br><strong>Link:<\/strong>&nbsp;<a href=\"https:\/\/www.techpinas.com\/2023\/02\/Hypotenuse-AI.html\">https:\/\/www.techpinas.com\/2023\/02\/Hypotenuse-AI.html<\/a><\/p>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" height=\"16\" width=\"16\" src=\"http:\/\/blank.ico\/\">&nbsp;<strong>ChatGPT is being used to automatically write emails: Microsoft, Salesforce and TikTok creators are hopping on the trend<\/strong><br><em>CNBC<\/em><br><em>Newsday<\/em><br>A recent viral TikTok video showed how it\u2019s possible to use ChatGPT integrated with Google Sheets to write custom LinkedIn messages to executives asking for a meeting.<br>It identified 10 potential companies in an industry and their CEOs, and generated different outreach notes for each one, including a unique question to ask.<br><br>Few LLM-based products are actually making money.<br>Microsoft and Google are working to integrate next-level chatbots into search engines.<br>Companies are working on using these bots to write marketing copy or computer code.<br><br>On Tuesday, Salesforce announced its LLM product called EinsteinGPT, which uses an OpenAI ChatGPT model.<br>It can automatically write marketing emails \u2014 a logical integration because Salesforce\u2019s main product is a web app that keeps track of how often salespeople contact leads.<br><br>In a tweet Tuesday, Salesforce CEO Marc Benioff demonstrated the software, using it to identify two contacts at a company, then automatically generating a one-sentence email trying to arrange a meeting.<br>In the demo, EinsteinGPT softened the cold outreach email after the user told the software to be less formal.<br><br>Microsoft announced Monday that it would integrate generative AI based on ChatGPT into a set of tools for business called CoPilot.<br>One of its primary features is using AI to generate emails.<br><br>Microsoft said its AI email writer can take important context from the email thread, like the price that was previously discussed, and stick it in the response drafted by AI.<br>In the example provided by Microsoft, the user edits the AI draft before sending it.<br><br>Some worry that the ability to generate email text could be abused to spam people and that chatbots could be used to phish for people\u2019s private passwords.<br><br>ChatGPT is also prone to \u201challucinating,\u201d or making stuff up.<br>It merely predicts what the next word or part of a phrase should be based on statistics and doesn\u2019t know whether it\u2019s correct or not.<br><strong>Link:<\/strong>&nbsp;<a href=\"https:\/\/newsday.com.ng\/chatgpt-is-being-used-to-automatically-write-emails-microsoft-salesforce-and-tiktok-creators-are-hopping-on-the-trend\/\">https:\/\/newsday.com.ng\/chatgpt-is-being-used-to-automatically-write-emails-microsoft-salesforce-and-tiktok-creators-are-hopping-on-the-trend\/<\/a><\/p>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" height=\"16\" width=\"16\" src=\"http:\/\/blank.ico\/\">&nbsp;<strong>AI in IoT Market to See Competition Rise<\/strong><br><em>EIN News<\/em><br>PUNE, MAHARASHTRA, INDIA, March 10, 2023 \/EINPresswire.com\/ &#8212; The Latest published a market study on Global AI in IoT Market provides an overview of the current market dynamics in the Global AI in IoT space, as well as what our survey respondents- all outsourcing decision-makers- predict the market will look like in 2027.<br>The study breaks the market by revenue and volume (wherever applicable) and price history to estimate the size and trend analysis and identify gaps and opportunities.<br>Some of the players that are in coverage of the study are IBM (United States), Microsoft (United States), Google (United States), PTC (United States), AWS, Inc. (United States), Oracle (United States), General Electric (United States), Salesforce (United States), SAP (Germany), Hitachi (Japan).<br>Market Factor Analysis: In this economic slowdown, impact on various industries is huge.<br>Moreover, the increase in demand &amp; supply gap as a resultant of sluggish supply chain and production line have made market worth observing.<br>It also discusses technological, regulatory and economic trends that are affecting the market.<br>It also explains the major drivers and regional dynamics of the global market and current trends within the industry.<br>Market Entropy: Randomness of the market highlighting aggressive steps that players are taking to overcome current scenario.<br>Development activity and steps like expansions, technological advancement, M&amp;A, joint ventures, launches are highlighted here.<br>Industry standards like NAICS, ICB etc are considered to derive the most important manufacturers.<br><strong>Link:<\/strong>&nbsp;<a href=\"https:\/\/airlines.einnews.com\/pr_news\/621339733\/ai-in-iot-market-to-see-competition-rise-ibm-microsoft-google\">https:\/\/airlines.einnews.com\/pr_news\/621339733\/ai-in-iot-market-to-see-competition-rise-ibm-microsoft-google<\/a><\/p>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" height=\"16\" width=\"16\" src=\"http:\/\/blank.ico\/\">&nbsp;<strong>This AI Program Can Sketch Your Thoughts With 80% Accuracy<\/strong><br><em>Trisha Kae Andrada<\/em><br><em>NBC News<\/em><br>According to Fortune, two Japanese academics at Osaka University claim to have developed an AI model that can simulate the workings of human brains and present people\u2019s ideas in visuals.<br>Their AI can do it more quickly and precisely than previous scientific efforts.<br><br>By testing a novel approach that combines textual and visual descriptions of pictures seen by test participants, the new model purportedly captures cerebral activity with roughly 80% accuracy, greatly simplifying the AI process of recreating ideas.<br><br>Using Stable Diffusion, the researchers were able to get over some of the roadblocks that have previously reduced the effectiveness of attempts to produce pictures from brain scans.<br>Instead of starting from scratch with thousands of photos, as was necessary for many previous experiments, Takagi and Nishimoto used the massive data set provided by Stable Diffusion to generate images from textual descriptions.<br><strong>Link:<\/strong>&nbsp;<a href=\"https:\/\/www.nbcnews.com.ng\/this-ai-program-can-sketch-your-thoughts-with-80-accuracy\/\">https:\/\/www.nbcnews.com.ng\/this-ai-program-can-sketch-your-thoughts-with-80-accuracy\/<\/a><\/p>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" height=\"16\" width=\"16\" src=\"http:\/\/blank.ico\/\">&nbsp;<strong>Anthropic, a ChatGPT Rival Founded by Daniela and Dario Amodei, Is Worth $4 Billion<\/strong><br><em>Sissi Cao<\/em><br><em>Observer<\/em><br>Anthropic, a San Francisco-based artificial intelligence startup founded by siblings Daniela and Dario Amodei, both former OpenAI executives, has raised $700 million in just a matter of weeks from tech giants like Google and Salesforce as investors continue to place large bets on generative A.I. technologies.<br><br>The two-year-old company just closed a $300 million funding round that valued it at $4.1 billion, the Information first reported yesterday (March 8).<br>The round was led by Spark Capital, a venture capital firm with early stakes in Twitter and Tumblr.<br>Salesforce is also a new investor, Anthropic disclosed in a tweet yesterday.<br>Only four weeks ago, the company received an investment between $300 million and $400 million from Google, according to the Financial Times.<br><br>The Amodei siblings and other Anthropic cofounders chose to start their own company to focus on building what they call \u201csteerable, interpretable and reliable A.I. systems with humans at the center of it,\u201d Daniela said in an interview with the Future of Life Institute, a science nonprofit, in March 2022.<br><strong>Link:<\/strong>&nbsp;<a href=\"https:\/\/observer.com\/2023\/03\/anthropic-artificial-intelligence-startup-openai-chatgpt-rival\/?ref=biztoc.com\">https:\/\/observer.com\/2023\/03\/anthropic-artificial-intelligence-startup-openai-chatgpt-rival\/?ref=biztoc.com<\/a><\/p>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" height=\"16\" width=\"16\" src=\"http:\/\/blank.ico\/\">&nbsp;<strong>Grammarly Unveils AI Writing Assistant Inspired by ChatGPT: All Details<\/strong><br><em>Vipulpatil40<\/em><br><em>Newsboys 24<\/em><br>GrammarlyGo, a brand new function has been introduced by the grammar checking device that will assist writers get AI to rewrite their present materials to make it higher.<br>The motive of this writing evaluation function resembles intently to that of ChatGPT, an AI-generative writing platform that went viral lately and garnered each, appreciation and criticism from the worldwide public.<br>GrammarlyGo will work on e-mail threads and in addition whereas writing lengthy format paperwork \u2014 appropriate with Grammarly.<br>For emails, the function will be capable of generate fast replies primarily based on the context of the mail obtained.<br>It may also be capable of write content material impressed by brief prompts.<br><strong>Link:<\/strong>&nbsp;<a href=\"https:\/\/newsboys24.com\/grammarly-unveils-ai-writing-assistant-inspired-by-chatgpt-all-details\/\">https:\/\/newsboys24.com\/grammarly-unveils-ai-writing-assistant-inspired-by-chatgpt-all-details\/<\/a><\/p>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" height=\"16\" width=\"16\" src=\"http:\/\/blank.ico\/\">&nbsp;<strong>Sophos Demonstrates How to Make ChatGPT a Cybersecurity Co-Pilot<\/strong><br><em>Globe Newswire<\/em><br>OXFORD, United Kingdom, March 16, 2023 (GLOBE NEWSWIRE) &#8212; Sophos, a global leader in innovating and delivering cybersecurity as a service, today released new research on how the cybersecurity industry can leverage GPT-3, the language model behind the now well-known ChatGPT framework, as a co-pilot to help defeat attackers.<br>The latest report, \u201cGPT for You and Me: Applying AI Language Processing to Cyber Defenses,\u201d details projects developed by Sophos X-Ops using GPT-3&#8217;s large language models to simplify the search for malicious activity in datasets from security software, more accurately filter spam, and speed up analysis of \u201cliving off the land\u201d binary (LOLBin) attacks.<br><br>The first application Sophos tested with the few-shot learning method was a natural language query interface for sifting through malicious activity in security software telemetry; specifically, Sophos tested the model against its endpoint detection and response product.<br>With this interface, defenders can filter through the telemetry with basic English commands, removing the need for defenders to understand SQL or a database\u2019s underlying structure.<br><br>Next, Sophos tested a new spam filter using ChatGPT and found that, when compared to other machine learning models for spam filtering, the filter using GPT-3 was significantly more accurate.<br>Finally, Sophos researchers were able to create a program to simplify the process for reverse-engineering the command lines of LOLBins.<br>Such reverse-engineering is notoriously difficult, but also critical for understanding LOLBins\u2019 behavior\u2014and putting a stop to those types of attacks in the future.<br><strong>Link:<\/strong>&nbsp;<a href=\"https:\/\/www.globenewswire.com\/news-release\/2023\/03\/16\/2628431\/0\/en\/Sophos-Demonstrates-How-to-Make-ChatGPT-a-Cybersecurity-Co-Pilot.html\">https:\/\/www.globenewswire.com\/news-release\/2023\/03\/16\/2628431\/0\/en\/Sophos-Demonstrates-How-to-Make-ChatGPT-a-Cybersecurity-Co-Pilot.html<\/a><\/p>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" height=\"16\" width=\"16\" src=\"http:\/\/blank.ico\/\">&nbsp;<strong>6sense Unveils Revolutionary AI-Powered Revenue Creation Technology<\/strong><br><em>Metro Latino USA<\/em><br>SAN FRANCISCO\u2013(BUSINESS WIRE)\u20136sense, the leading platform to revolutionize the way B2B organizations create, manage, and convert pipeline to revenue, has announced a game-changing innovation: 6sense Revenue AI\u2122 for Sales.<br>The new sales platform enables sellers to prioritize in-market accounts and access complete buyer intelligence and contact data within the tools they already use daily, allowing them to spend less time researching and more time closing deals.<br><br>6sense Revenue AI for Sales simplifies sales intelligence and gives sellers confidence by providing:<br>Visibility into the anonymous research conducted by buying teams so they spend less time researching and more time closing deals.<br>The most comprehensive data set on accounts and buying teams so sellers can prioritize who and when to target to capitalize on the best opportunities and boost productivity.<br>Efficient prospecting workflows using sales tech that sellers love.<br>Access to the broadest set of data in the market inside CRM and sales engagement platforms, fully integrated into the ecosystem, without adding new tech or browser tabs.<br>6sense Revenue AI for Sales provides sellers with a centralized platform to access intelligence on their accounts and buying teams.<br>Insights into the \u201cDark Funnel,\u201d where around 97% of B2B research occurs anonymously, are crucial for sellers to avoid missing out on potential deals.<br>This, in turn, enables them to prioritize the most promising opportunities for conversion and enhances productivity by integrating insights and actions into their daily tools.<br><strong>Link:<\/strong>&nbsp;<a href=\"https:\/\/metrolatinousa.com\/6sense-unveils-revolutionary-ai-powered-revenue-creation-technology\/\">https:\/\/metrolatinousa.com\/6sense-unveils-revolutionary-ai-powered-revenue-creation-technology\/<\/a><\/p>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" height=\"16\" width=\"16\" src=\"http:\/\/blank.ico\/\">&nbsp;<strong>GitHub unveils Copilot X: The future of AI-powered software development<\/strong><br><em>Michael Nu\u00f1ez<\/em><br><em>Venture Beat<\/em><br>GitHub Copilot X, the upgraded version being released today, represents a bold vision for the future of AI-powered software development.<br>By incorporating chat and voice features, developers can communicate with Copilot more naturally.<br>Additionally, Copilot X will be integrated into pull requests, command lines and documentation, providing instant answers to questions about projects.<br><br>GitHub Copilot X introduces several new features including a ChatGPT-like experience in code editors, Copilot for pull requests, AI-generated answers for documentation and Copilot for the command line interface.<br><br>GitHub is also testing new capabilities internally where Copilot will automatically suggest sentences and paragraphs as developers create pull requests.<br>Soon, Copilot will warn developers about insufficient testing for a pull request and suggest potential tests tailored to a project\u2019s needs.<br><br>In addition to the editor and pull request, GitHub has streamlined the terminal, where developers spend a significant amount of time.<br><strong>Link:<\/strong>&nbsp;<a href=\"https:\/\/venturebeat.com\/ai\/github-unveils-copilot-x-the-future-of-ai-powered-software-development\/?mkt_tok=NjczLVBISy05NDgAAAGKrj9nGM8YzoHcTXJCq4Z3pqP7jgtconBbL9Xn_dU0zIUWKt0Vas6JrXToPySUSNLG1eUUU3GoC\">https:\/\/venturebeat.com\/ai\/github-unveils-copilot-x-the-future-of-ai-powered-software-development\/?mkt_tok=NjczLVBISy05NDgAAAGKrj9nGM8YzoHcTXJCq4Z3pqP7jgtconBbL9Xn_dU0zIUWKt0Vas6JrXToPySUSNLG1eUUU3GoC<\/a><\/p>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" height=\"16\" width=\"16\" src=\"http:\/\/blank.ico\/\">&nbsp;<strong>Critical flaw in AI testing framework MLflow can lead to server and data compromise<\/strong><br><em>Lucian Constantin<\/em><br><em>CSO Online<\/em><br>MLflow, an open-source framework that&#8217;s used by many organizations to manage their machine-learning tests and record results, received a patch for a critical vulnerability that could allow attackers to extract sensitive information from servers such as SSH keys and AWS credentials.<br>The attacks can be executed remotely without authentication because MLflow doesn&#8217;t implement authentication by default and an increasing number of MLflow deployments are directly exposed to the internet.<br><br>McInerney found the vulnerability and reported it to the MLflow project privately.<br>It was fixed in version 2.2.1 of the framework that was released three weeks ago, but the release notes don&#8217;t mention any security fix.<br><br>MLflow is written in Python and is designed to automate machine-learning workflows.<br>It has multiple components that \u200b\u200ballow users to deploy models from various ML libraries; manage their lifecycle including model versioning, stage transitions and annotations; track experiments to record and compare parameters and results; and even package ML code in a reproducible form to share with other data scientists.<br>MLflow can be controlled through a REST API and command-line interface.<br><strong>Link:<\/strong>&nbsp;<a href=\"https:\/\/www.csoonline.com\/article\/3691612\/critical-flaw-in-ai-testing-framework-mlflow-can-lead-to-server-and-data-compromise.html\">https:\/\/www.csoonline.com\/article\/3691612\/critical-flaw-in-ai-testing-framework-mlflow-can-lead-to-server-and-data-compromise.html<\/a><\/p>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" height=\"16\" width=\"16\" src=\"http:\/\/blank.ico\/\">&nbsp;<strong>Google opens up its AI language model PaLM to challenge OpenAI and GPT-3<\/strong><br><em>James Vincent<\/em><br><em>The Verge<\/em><br>Google is offering developers access to one of its most advanced AI language models: PaLM.<br>The search giant is launching an API for PaLM alongside a number of AI enterprise tools it says will help businesses \u201cgenerate text, images, code, videos, audio, and more from simple natural language prompts.\u201d<br><br>PaLM is a large language model, or LLM, similar to the GPT series created by OpenAI or Meta\u2019s LLaMA family of models.<br>Google first announced PaLM in April 2022.<br>Like other LLMs, PaLM is a flexible system that can potentially carry out all sorts of text generation and editing tasks.<br>In order to make it easier for developers to train PaLM to carry out specific tasks, Google is launching a new app alongside the PaLM API called MakerSuite.<br>In addition to launching the PaLM API, Google is also expanding support for generative AI in its Vertex AI platform, which is designed to help businesses train and deploy machine learning models.<br>And finally, Google is also launching a new platform called Generative AI App Builder.<br><strong>Link:<\/strong>&nbsp;<a href=\"https:\/\/www.theverge.com\/2023\/3\/14\/23639313\/google-ai-language-model-palm-api-challenge-openai\">https:\/\/www.theverge.com\/2023\/3\/14\/23639313\/google-ai-language-model-palm-api-challenge-openai<\/a><\/p>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" height=\"16\" width=\"16\" src=\"http:\/\/blank.ico\/\">&nbsp;<strong>SEI Launches CERT Certificate in Data Science for Cybersecurity<\/strong><br><em>AI Thority<\/em><br>The CERT Division of the Software Engineering Institute (SEI) at Carnegie Mellon University announced the launch of the CERT Applied Data Science for Cybersecurity Professional Certificate program.<br>Designed by CERT Division machine learning research scientists and cybersecurity experts at the SEI, the program is a series of courses teaching ML and AI techniques and best practices for the analysis of cybersecurity data using the tools of data science.<br><br>The new program introduces foundational concepts of statistical analysis as a precursor to analyzing data for cybersecurity.<br>SEI instructors teach concepts and techniques to apply data analysis in the context of NetFlow, malware, and digital forensics data.<br>Additionally, students have opportunities to apply what they learn in specifically designed exercises.<br>The program concludes with an examination assessing the student\u2019s comprehension of the material.<br><strong>Link:<\/strong>&nbsp;<a href=\"https:\/\/aithority.com\/machine-learning\/sei-launches-cert-certificate-in-data-science-for-cybersecurity\/\">https:\/\/aithority.com\/machine-learning\/sei-launches-cert-certificate-in-data-science-for-cybersecurity\/<\/a><\/p>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" height=\"16\" width=\"16\" src=\"http:\/\/blank.ico\/\">&nbsp;<strong>Concentric AI Announces Industry\u2019s First Support for Optimized Large Language Models Delivering Unmatched Data Security Posture Management<\/strong><br><em>Business Wire<\/em><br><em>AI Thority<\/em><br>Concentric AI, a leading vendor of intelligent AI-based solutions for autonomous data security posture management (DSPM), announced the industry\u2019s first DSPM solution with support for optimized large language models delivering unmatched data security and protection.<br>As a result, Concentric AI\u2019s Semantic Intelligence\u2122 uniquely delivers semantic understanding of data and leverages context to offer precise accuracy in discovering sensitive data from intellectual property to financial data to business confidential information to PII\/PCI\/PHI, and more.<br><br>Concentric AI uses optimized large language models to accurately discover data without needing inaccurate regex or pattern matching.<br>While large language models are very data intensive, highly optimized data compression Adaptive Manifold Compression models achieve up to 10 times compression and orders of magnitude improvements in data discovery rates for optimal compute efficiency, storage and performance.<br>With Concentric AI, organizations discover all sensitive data with context, accuracy and minimal false positives and negatives, all with unmatched speed and efficiency.<br>Concentric AI\u2019s differentiated AI-based technology uniquely performs computations on large language models without the compute burden or inefficiencies of other solutions.<br>Concentric AI\u2019s Semantic Intelligence\u2122 is also the industry\u2019s only solution that allows AI data fingerprinting to avoid rescanning of data to look for new patterns.<br><strong>Link:<\/strong>&nbsp;<a href=\"https:\/\/aithority.com\/machine-learning\/concentric-ai-announces-industrys-first-support-for-optimized-large-language-models-delivering-unmatched-data-security-posture-management\/\">https:\/\/aithority.com\/machine-learning\/concentric-ai-announces-industrys-first-support-for-optimized-large-language-models-delivering-unmatched-data-security-posture-management\/<\/a><\/p>\n\n\n\n<p><img loading=\"lazy\" decoding=\"async\" height=\"16\" width=\"16\" src=\"http:\/\/blank.ico\/\">&nbsp;<strong>Google Is Baking AI Into Gmail, Docs, And Other Workspace Apps &#8211; Here&#8217;s What It Can Do Read More: https:\/\/www.slashgear.com\/1227352\/google-is-baking-ai-into-gmail-docs-and-other-workspace-apps-heres-what-it-can-do\/<\/strong><br><em>Dave McQuilling<\/em><br><em>Slash Gear<\/em><br>Users of Google&#8217;s workspace products will be getting a high-tech helping hand soon.<br>The California-based tech company has announced it will be adding AI to its suite of Workspace apps.<br>This means users of Gmail, Docs, and other Google programs will soon have a powerful new tool at their disposal.&nbsp;<br><br>Read More: https:\/\/www.slashgear.com\/1227352\/google-is-baking-ai-into-gmail-docs-and-other-workspace-apps-heres-what-it-can-do\/<br>According to a statement from Google, &#8220;you can simply type in a topic you&#8217;d like to write about, and a draft will be instantly generated for you.&#8221; An example Google gives involves an onboarding email a manager is writing for a new employee.&nbsp;<br><br>Read More: https:\/\/www.slashgear.com\/1227352\/google-is-baking-ai-into-gmail-docs-and-other-workspace-apps-heres-what-it-can-do\/<br><strong>Link:<\/strong>&nbsp;<a href=\"https:\/\/www.slashgear.com\/1227352\/google-is-baking-ai-into-gmail-docs-and-other-workspace-apps-heres-what-it-can-do\/\">https:\/\/www.slashgear.com\/1227352\/google-is-baking-ai-into-gmail-docs-and-other-workspace-apps-heres-what-it-can-do\/<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Table of Contents &nbsp;How to Use ChatGPT to Unlock New Levels of InnovationFlash News 11While the true risk or promise of generative AI will proceed to be debated, it\u2019s greater than sure that companies can unlock actual value for innovation by leaning into the appliance\u2019s superior language processing capabilities.New ranges&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[45],"tags":[],"class_list":["post-5080","post","type-post","status-publish","format-standard","hentry","category-ai-ml"],"_links":{"self":[{"href":"https:\/\/www.cybersecurityinstitute.com\/blog\/index.php\/wp-json\/wp\/v2\/posts\/5080","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.cybersecurityinstitute.com\/blog\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.cybersecurityinstitute.com\/blog\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.cybersecurityinstitute.com\/blog\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.cybersecurityinstitute.com\/blog\/index.php\/wp-json\/wp\/v2\/comments?post=5080"}],"version-history":[{"count":3,"href":"https:\/\/www.cybersecurityinstitute.com\/blog\/index.php\/wp-json\/wp\/v2\/posts\/5080\/revisions"}],"predecessor-version":[{"id":5083,"href":"https:\/\/www.cybersecurityinstitute.com\/blog\/index.php\/wp-json\/wp\/v2\/posts\/5080\/revisions\/5083"}],"wp:attachment":[{"href":"https:\/\/www.cybersecurityinstitute.com\/blog\/index.php\/wp-json\/wp\/v2\/media?parent=5080"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.cybersecurityinstitute.com\/blog\/index.php\/wp-json\/wp\/v2\/categories?post=5080"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.cybersecurityinstitute.com\/blog\/index.php\/wp-json\/wp\/v2\/tags?post=5080"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}