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Share Tweet Share Share Email Managing expenses effectively is crucial to maintaining financial integrity. However, the rise in fraudulent expense claims poses a significant challenge for organizations worldwide. Fraudulent activities not only drain resources but also damage trust within the workplace. Detecting such fraud manually can be tedious, time-consuming, and error-prone. This is where machine learning comes into play, offering innovative ways to combat expense fraud efficiently and proactively . What Is Expense Fraud? Expense fraud refers to the act of submitting false or exaggerated claims for reimbursement. Employees may manipulate receipts, inflate mileage claims, or create fake invoices to gain undeserved compensation. Common examples of expense fraud include: Submitting personal expenses as business-related costs. Altering the amounts on genuine receipts. Creating entirely fictitious receipts or invoices. Reimbursing duplicate claims for the same expense. These fraudulent activities can cost businesses thousands, if not millions, of dollars annually. While traditional audits can uncover some discrepancies, they often miss more sophisticated schemes. This highlights the need for advanced technologies like machine learning to tackle fraud more effectively. The Role of Machine Learning in Fraud Detection Machine learning (ML) leverages algorithms that analyze data, learn patterns, and make predictions. Unlike rule-based systems, ML models continuously improve over time as they process new data. In the context of expense fraud detection, machine learning offers the following advantages: Automated Data Analysis: ML systems can process vast amounts of expense data in real time, identifying anomalies that may signal fraudulent behavior. Pattern Recognition: By analyzing historical data, machine learning models can detect unusual patterns that deviate from normal expense behaviors. Risk Scoring: ML algorithms assign risk scores to expense claims, flagging those with high likelihoods of fraud for further review. Adaptive Learning: As fraud tactics evolve, machine learning models adapt by learning new patterns and identifying emerging threats. Key Machine Learning Techniques for Expense Fraud Detection Machine learning employs various techniques to identify fraudulent expense claims. Below are some of the most commonly used approaches: Supervised Learning Supervised learning involves training a model on labeled data, where the outcomes (fraudulent or non-fraudulent) are already known. The model learns to classify new expense claims based on the patterns it observes in the training data. Algorithms like decision trees, support vector machines (SVM), and neural networks are commonly used in supervised learning for fraud detection . Unsupervised Learning Unlike supervised learning, unsupervised learning works with unlabeled data. This approach is ideal for detecting unknown types of fraud. Techniques like clustering and anomaly detection help group similar data points and identify outliers. For instance, if an employee’s expense claim is significantly higher than their peers’, the system flags it for investigation. Natural Language Processing (NLP) Natural language processing is used to analyze text-based data, such as descriptions in expense claims. NLP can identify inconsistencies, suspicious keywords, or unusual phrasing that may indicate fraudulent intent. Reinforcement Learning Reinforcement learning involves training models through a reward-based system. In fraud detection, the algorithm receives rewards for accurately identifying fraudulent claims and penalties for false positives or negatives. This iterative process improves the model’s accuracy over time. Building an Effective Machine Learning Framework for Fraud Detection Implementing a machine learning-based expense fraud detection system requires careful planning and execution. Below are the critical steps: Data Collection and Preprocessing The first step is gathering expense-related data, such as receipts, invoices, and transaction records. Preprocessing this data is crucial to ensure accuracy and consistency. Steps include: Cleaning and removing duplicate entries. Converting unstructured data into structured formats. Normalizing numerical data for better model performance. Feature Engineering Feature engineering involves selecting and creating relevant variables (features) that help the model identify fraud. Examples include: Frequency of claims per employee. Average claim amount by department. Expense categories with unusually high costs. Model Training and Testing Once features are defined, the next step is training machine learning models. A portion of the data is used for training, while the rest is reserved for testing. This ensures that the model performs well on unseen data. Deployment and Monitoring After successful testing, the model is deployed to monitor expense claims in real-time. Continuous monitoring and periodic retraining are essential to maintain effectiveness and adapt to new fraud patterns. Challenges in Machine Learning-Based Fraud Detection While machine learning offers powerful tools for expense fraud detection, it is not without challenges. Some common obstacles include: Data Quality Issues: Inaccurate or incomplete data can lead to unreliable model predictions. High False Positives: Over-sensitive models may flag legitimate claims as fraudulent, leading to inefficiencies. Evolving Fraud Tactics: Fraudsters continuously adapt, requiring models to be updated regularly. Privacy Concerns: Handling sensitive financial data necessitates strict adherence to data protection regulations. Addressing these challenges requires a collaborative approach involving robust data governance, regular model audits, and input from domain experts. Benefits of Machine Learning in Expense Fraud Detection Despite the challenges, machine learning brings numerous benefits to expense fraud detection: Efficiency: Automating fraud detection reduces the manual workload, allowing finance teams to focus on high-priority tasks. Accuracy: ML models often outperform traditional methods, identifying subtle patterns that humans might miss. Scalability: Machine learning systems can handle large volumes of data, making them suitable for organizations of all sizes. Cost Savings: By preventing fraud, businesses can save significant amounts of money that would otherwise be lost. Real-World Applications of Machine Learning in Expense Fraud Detection Many organizations have successfully implemented machine learning to combat expense fraud. For instance: Corporate Finance Departments: Large corporations use ML tools to monitor employee expense reports, flagging anomalies in real-time. Expense Management Software: Companies like Expensify and Concur integrate machine learning algorithms to provide fraud detection features for their clients. Financial Institutions: Banks and credit card companies employ ML models to detect suspicious transactions that could indicate fraudulent expense claims. Conclusion Expense fraud is a pressing issue that requires proactive measures to mitigate its impact on businesses. Machine learning offers a transformative solution, enabling organizations to detect and prevent fraud with unprecedented efficiency.Furthermore, By leveraging techniques like supervised and unsupervised learning, natural language processing, and reinforcement learning, companies can build robust fraud detection systems that evolve alongside emerging threats. Although challenges remain, the benefits of machine learning far outweigh the drawbacks, making it an indispensable tool in the fight against expense fraud. Organizations that invest in this technology not only safeguard their finances but also foster a culture of transparency and trust . Related Items: Catching Fraud Before It Strikes , Expense Fraud Detection , machine learning Share Tweet Share Share Email Recommended for you Can Machine Learning Models Truly Revolutionize Retail Sales Forecasting? AI and Machine Learning Reshape Modern Data Center Operations How Machine Learning is Driving a New Era in Healthcare? Comments
" Abang Adik " ( Malaysia ) Takes Home Snow Leopard for Best Film Wu Kang -ren ( " Abang Adik " ) Named Best Actor Diamond Bou Abboud ( "Arze" ) Wins Best Actress Sergei Bodrov Honored with Lifetime Achievement Award HOLLYWOOD, Calif. , Nov. 22, 2024 /PRNewswire/ -- The 10th annual Asian World Film Festival (AWFF) announced its winners at a star-studded Closing Night Gala Awards Ceremony Thursday, November 21 , at the Culver Theater. Over 60 films and special screenings, including 24 Academy Award submissions for Best International Feature Film, were presented over the nine days of the AWFF, held November 13 - 21. The ceremony was hosted by Kyrgyz director and actress Elnura Osmanalieva and TV host, Golden Globe member, filmmaker and actor Mico Saad . FOR PHOTOS: CLICK HERE The Main Competition presented a series of exclusive Snow Leopard Awards with the assistance of Iris Wang , Jury President, producer ("Kung Fu Yoga," "The Composer"). Crime/drama " Abang Adik " ( Malaysia ), directed by Jin Ong , won the Snow Leopard Award for Best Film . The film also won the Snow Leopard Best Actor Award for Wu Kang -ren . The Snow Leopard for Best Actress went to Diamond Bou Abboud for the social dramedy "Arze" ( Lebanon ), directed by Mira Shaib . The Snow Leopard Special Jury Prize went to family drama " In the Arms of the Tree" ( Iran ) directed by Babak Khajeh Pasha . The Snow Leopard Panavision Award for Best Cinematography , along with a $45,000 Panavision Camera Package Grant, was awarded to cinematographer Zhanrbek Yeleubek for Kazakhstan's coming of age drama " Bauryna Salu, " and accepted by the film's director Askhat Kuchinchirekov and producer Dias Feld. The Snow Leopard Audience Award went to " The Glassworker " ( Pakistan ), directed by Usman Riaz . Writer, director and producer Sergei Bodrov ("Mongol," "Prisoner of the Mountains") received the AWFF Lifetime Achievement Award . The award was presented by Kazakhstan actress Ayanat Ksenbai ("About Mannequin"). Hong Kong filmmaker Peter Ho-Sun Chan ("Warlords," "Comrades: Almost a Love Story ") was presented with the Outstanding Cinematic Achievement Award by producer Andre Morgan ("The Cannonball Run," "The Warlords"). The Rising Star Award went to Filipino actress Kathryn Bernardo ("The Hows of Us," "Hello, Love, Goodbye") presented by actress Kieu Chinh ("The Joy Luck Club," "Hamburger Hill"). Executive Director Georges N. Chamchoum said, "There is always a beginning and end to everything—except at the Asian World Film Festival. This 10 th Anniversary year was filled with inspiring milestones, discovery, joy, and thrills! The myriads of movies we screened, the special country spotlights and the dedicated filmmaker panels, have brought the richness of our heritage to the forefront. Asia is a wellspring of incredibly talented filmmakers, offering valuable lessons, especially in this age of technology. The AWFF continues to showcase exceptional movies filled with heart, soul, and captivating storytelling. Onward to November 2025!" The Bruce Lee Award , in partnership with the Bruce Lee Foundation, was presented to martial artist and actor Mark Dacascos ("Brotherhood of the Wolf," " John Wick : Chapter 3 – Parabellum") by Lee's daughter Shannon Lee , CEO of the Bruce Lee Foundation. The Asian Vision Best Film Award was given to "Night Courier" ( Saudi Arabia ), directed by Ali Kalthami. The Short Film Jury composed of filmmakers and industry professionals from the U.S. and abroad, was headed by Jury President, Head of HDR Content Workflow, Barco) Joachim Zell . The Best Short Film , with a prize of a $15,000 Panavision Camera Package grant, went to " Lullaby" (UK/ Vietnam ) directed by Chi Thai . The award was presented by producer Zhu Xufang and accepted by actress Mai Thu Huyen ("A Fragile Flower," "Kieu"). A Special Mention was given to " Mar Mama " (Palestine), directed by Majdi El Omari . The complete awards list is as follows: SNOW LEOPARD COMPETITION AWARDEES Best Picture : " Abang Adik " ( Malaysia ) directed by Jin Ong Best Actor: Wu Kang -ren in " Abang Adik " ( Malaysia ) Best Actress: Diamond Bou Abboud in "Arze" ( Lebanon ) Panavision Best Cinematography: Zhanrbek Yeleubek for "Bauryna Salu" ( Kazakhstan ) Special Jury Prize: " In the Arms of the Tree" ( Iran ) directed by Babak Khajeh Pasha Audience Award: " The Glassworker" ( Pakistan ) directed by Usman Riaz SNOW LEOPARD HONORARY AWARDS Lifetime Achievement Award – Sergei Bodrov Outstanding Cinematic Achievement – Peter Ho-Sun Chan Rising Star Award – Kathryn Bernardo ASIAN VISION BEST FILM AWARD: "Night Courier" ( Saudi Arabia ) directed by Ali Kalthami AWFF BRUCE LEE AWARD (in partnership with the Bruce Lee Foundation) Mark Dacascos SHORT FILM FINALISTS Best Short Film: " Lullaby" (UK/ Vietnam ) directed by Chi Thai Special Mention: " Mar Mama " (Palestine) directed by Majdi El Omari The AWFF series of Snow Leopard Awards is bestowed in partnership with The Snow Leopard Trust to raise awareness for the endangered snow leopard and their Asian ecosystem. AWFF SPONSORS The Asian World Film Festival is proudly sponsored by Aitysh Film, Pechanga Casino Resort, Panavision, Bruce Lee Foundation, Korean Cultural Center ( Los Angeles ), Korean Film Council (KOFIC), Taiwan Academy ( Los Angeles ), Hollywood Arab Film Association ( Los Angeles ), Vietnam Cinema Association ( Hanoi, Vietnam ), Hong Kong Economic & Trade Office, Kyrgyz Film, Ministry of Culture & Tourism Republic of Turkiye, Directorate General of Cinema (Turkiye), Republic of Turkiye Los Angeles Consulate General, Beirut Film Association ( Lebanon ), Meihodo ( Japan ), MoRedii, Culver City Arts Foundation, CAPE ( Los Angeles ), AARP ( California ), Blackmagic Design, Emporium Thai ( Los Angeles ), NAMOO ( Marina Del Rey ), Jackson Market & Deli (Culver City, Shin Beijing ( Los Angeles ), H.C. Foods and Asahi Beer , among many others. ABOUT THE ASIAN WORLD FILM FESTIVAL (AWFF) Celebrating its 10th anniversary in 2024, the Asian World Film Festival (AWFF) was founded by Kyrgyz public figure Sadyk Sher-Niyaz to bring the best of Asian cinema to Los Angeles and to strengthen ties between the Asian and Hollywood film industries. The festival screens feature films from more than 50 countries, spanning from Japan to Turkey and Russia to India and Southeast Asia . As of 2024, AWFF is the only Los Angeles -based festival that showcases most Asian submissions Academy Award ® and Golden Globe ® for Best International Feature Film and Best Motion Picture - Non-English Language respectively. AWFF is a non-profit organization under Aitysh USA . Follow AWFF on: Website: https://www.asianworldfilmfest.org/ X (formally Twitter): https://twitter.com/asianworldff Facebook: https://www.facebook.com/AsianWorldFilmFest Instagram: https://www.instagram.com/asianworldff/ YouTube: https://www.youtube.com/@asianworldfilmfestival3974 Media Contact: Rick Markovitz 818-421-3334 386812@email4pr.com View original content to download multimedia: https://www.prnewswire.com/news-releases/10th-annual-asian-world-film-festival-announces-winners-at-closing-night-gala-302314470.html SOURCE Asian World Film Festival © 2024 Benzinga.com. Benzinga does not provide investment advice. All rights reserved.
In an age defined by globalization and technological advancement, over 40,000 residents of Char Asariadaha union in Rajshahi's Godagari upazila continue to live without electricity, relying on candles, kerosene lamps and hurricane lanterns for light. Located just five kilometers from Pirizpur, a well-connected area with electricity and internet access, Char Asariadaha remains untouched by modern infrastructure. The lack of electricity has severely hampered the union's progress, leaving its residents isolated from the benefits of contemporary civilization. The residents said that in 2015, the non-governmental organization Avha, with technical assistance from the government’s Infrastructure Development Company Limited (IDCOL), established a solar power plant in the union under the Avha Mini-Grid Project. The project provided electricity to 1,300 households, but residents faced exorbitant rates—more than double the regular electricity cost—while enduring inconsistent power supply. The initiative was discontinued in mid-June this year due to financial losses, leaving the union entirely without electricity once again. Imam Hossain, a Dhaka University student and resident of Char Asariadaha, described the challenges, "The mini-grid project didn't benefit the majority. Out of 100 homes, perhaps only 20 had access, and even they didn't receive uninterrupted power. Our union needs 7 to 10 megawatts of electricity but the project provided only 60 kilowatts." Efforts to secure a sustainable power solution have been ongoing, with residents appealing to the Northern Electricity Supply Company (NESCO). However, proposals to establish a solar plant have raised concerns due to the potential impact on agriculture, as such projects require large tracts of land. Instead, residents advocate for a 10-megawatt power line via submarine cables across the Padma River. Char Ashariadaha Union Parishad chairman Ashraful Islam stated that discussions with NESCO are ongoing. "NESCO is conducting surveys and considering options such as solar plants, towers, or cables. A final decision is pending," he said. Yasir Arafat, the supervising engineer for NESCO's Rajshahi region, confirmed that plans are under review. "Our chief engineer, Mizanur Rahman, is overseeing the matter. We are evaluating permanent solutions, such as submarine cables or other methods, to ensure sustainable electricity for the area," he said.
BIRMINGHAM, Ala. (AP) — Bradley Ezewiro scored 19 points off of the bench to help lead UAB past Alcorn State 91-74 on Sunday night. Ezewiro shot 5 of 5 from the field and 9 for 9 from the line for the Blazers (7-6). Christian Coleman scored 15 points while shooting 6 of 8 from the field and 3 for 4 from the line. Alejandro had 15 points and went 5 of 10 from the field (3 for 6 from 3-point range). The Braves (0-13) were led in scoring by Keionte Cornelius, who finished with 22 points. Jalyke Gaines-Wyatt added 14 points for Alcorn State. Marcus Tankersley finished with 10 points. UAB took the lead with 11:35 remaining in the first half and never looked back. Coleman led their team in scoring with 11 points in the first half to help put them up 50-31 at the break. Ezewiro scored 15 points in the second half to help lead the way as UAB went on to secure a victory, despite being outscored by Alcorn State in the second half by a two-point margin. The Associated Press created this story using technology provided by Data Skrive and data from Sportradar .
Manchester City remarkably let a comfortable 3-0 lead against Feyenoord slip and fell to an embarrassing 3-3 Champions League draw. It is the latest horror show for Pep Guardiola 's side, who will now go more than a month without a victory across all competitions. Ederson and Josko Gvardiol were particularly culpable for the late collapse, which saw Feyenoord score three times in the final 12 minutes. Pep Guardiola fumed when the duo suffered a mix-up to allow what appeared to be a late consolation for the Dutch side - but the worse was yet to come. Santiago Gimenez and David Hancko scored goals to compound another woeful night for City and Guardiola. It seemed set to be an easy win with the Premier League champions 3-0 ahead on 77 minutes, with Erling Haaland scoring twice either side of a deflected Ilkay Gundogan strike. Here is how Express Sport rated City's players. Ederson - 4 Ederson had little to do until Gvardiol’s backpass left him stranded. The Brazilian was then unconvincing as he attempted to cut out the cross from which Gimenez scored Feyenoord’s second, and was in no man's land as he stormed out of his goal before the equaliser. Rico Lewis - 6 Inverting into midfield, Lewis was key to City retaining possession for large periods of the game and pinning Feyenoord back towards their own goal. However, he was part of his side's late collapse and was beaten in the air for the equaliser. Manuel Akanji - 5 City’s collapse late on was extremely avoidable. Akanji played his part with some lapses in concentration. Nathan Ake - 6 Ake dealt with Feyenoord’s meagre threat well until his 68th-minute withdrawal. Guardiola, in hindsight, might have kept him on the pitch. Josko Gvardiol - 4 Gvardiol’s woeful backpass allowed Anis Hadj Moussa to round Ederson and convert from a tight angle. It was a seriously sloppy moment that left Guardiola furious. The defender then failed to cut out a cross which led to Feyenoord's second goal. Ilkay Gundogan - 6 Gundogan’s deflected left-footed volley midway through the second half gave City plenty of comfort. This was the German’s best performance since his return from Barcelona. Matheus Nunes - 7 This was one of Nunes’ best games for City. Positioned centrally, his movement and ability to break between the lines was key. One of his bursts forward culminating in him finding the side netting with a ferocious strike. Bernardo Silva - 6 Silva helped City press high and he won the ball in advantageous positions several times. On one of those occasions, he was unfortunate not to create a goal for Haaland in the first half. man-utd Phil Foden - 7 Most of the positive work City did came through Foden. As the closest midfielder to Haaland, the England international posed a huge threat and came close to scoring a couple of times. Jack Grealish - 6 Had spurts of involvement and nearly struck a dramatic winner when his effort looped up and onto the post. Erling Haaland - 7 On an initially frustrating night for Haaland, he eventually struck a brace with a goal in either half. Ederson and Gvardiol compounded to make this another bad evening for the hosts, though. Substitutes Jahmai Simpson-Pusey - 5 Guardiola might have seen this as an opportunity to provide one of City's brightest defensive stars 20 minutes of action with his side 3-0 ahead. The teenager must accept some of the blame for the poor defending in the final 15 minutes. James McAtee - 5 City lost control after Guardiola's trio of substitutions in the 68th minute and the Spaniard must take accept some of the responsibility. McAtee had little impact. Kevin De Bruyne - 5 De Bruyne nearly created a couple of chances but was unable to prevent what happened late on.
Neal Maupay: Whenever I’m having a bad day I check Everton score and smile
New Repeat Orders for QUADRA High-Throughput Metrology System from Leading Semiconductor Manufacturer fills up Nearfield Instruments’ 2025 Order BookAUM of USD 635 Billion at ADFW Caps Stellar Q4 as Trillion-Dollar Club Flock to ADGM
In the ever-evolving world of technology, Nvidia and Palantir have emerged as powerhouses, fueled by the rapid advancements in artificial intelligence. This year, both companies have seen their stock prices skyrocket, driven by their innovations and strategic moves in the AI arena. Nvidia , famous for its cutting-edge GPUs, has firmly established its dominance in AI-driven data center technology, catapulting its stock price astronomically by 2024. The company’s innovation with its Blackwell platform and extensive investments, such as in its CUDA software, have resulted in enviable profit margins. However, Nvidia’s dependency on external manufacturing partners makes it susceptible to market fluctuations, underscoring the fraught nature of the semiconductor industry. On the other hand, Palantir owes its success to its robust software offerings, particularly with platforms like Gotham, Foundry, Apollo, and its AI Platform (AIP). Initially helping government agencies post-9/11, Palantir has expanded its reach into various domains like cryptocurrency and data protection. The company thrives on large, complex contracts with a few high-value customers, ensuring a niche competitive space but also posing systemic risks if sector dynamics shift unfavorably. Financially, Nvidia has outpaced Palantir with a 94% revenue surge in the third quarter, while Palantir reported a 30% increase. Despite Palantir’s revolutionary growth costing risk with its high valuation, Nvidia offers an attractive investment, combining growth potential with less vulnerability. In conclusion, while both companies’ futures glisten with opportunity in AI, Nvidia appears to offer a more balanced investment with its muscular growth and manageable risks. Nvidia vs. Palantir: The AI Titans and Their Future Prospects As artificial intelligence continues to revolutionize industries worldwide, companies like Nvidia and Palantir have positioned themselves at the forefront of innovation. Let’s delve into what sets these tech giants apart and explore what the future holds for them. Features and Innovations Nvidia’s Technological Edge Nvidia has become synonymous with advanced GPU technology, essential for AI-driven data analysis and visualization. The company’s recent innovation, the Blackwell platform, represents a leap in GPU capabilities with unprecedented computational power and efficiency. Moreover, Nvidia’s CUDA software, pivotal in AI and machine learning applications, continues to expand its functionalities, solidifying Nvidia’s role as a key accelerator in the tech industry. Palantir’s Software Dominance Palantir has made significant strides with its software platforms – Gotham, Foundry, and Apollo. These tools are staple resources for government and private sectors requiring robust data analysis and interpretation. Palantir’s AI Platform (AIP) offers sophisticated data integration across numerous sectors, demonstrating its versatility and adaptability in dynamic environments. Use Cases and Market Trends Nvidia’s Expansion Nvidia’s products have transcended traditional boundaries, finding applications in diverse areas like autonomous vehicles, healthcare diagnostics, and gaming. The GPUs’ ability to process massive datasets quickly and efficiently is crucial for real-time AI applications – a trend that’s likely to continue as more industries embrace AI. Palantir’s Strategic Partnerships Palantir’s platforms are pivotal for large-scale projects requiring intensive data processing – a competitive advantage in sectors like defense, finance, and pharmaceuticals. Furthermore, Palantir’s engagement with cryptocurrency analysis and data protection showcases its commitment to staying ahead of market trends and diversifying its application scope. Security Aspects Nvidia’s Security Challenges As Nvidia pushes boundaries in AI, the complexity of their solutions can expose potential security vulnerabilities. The reliance on external manufacturing introduces risks related to data breaches and intellectual theft, necessitating robust cybersecurity measures to protect their technological investments. Palantir’s Data Protection Given the sensitive nature of the data Palantir handles, security is a top priority. With its roots in government intelligence, Palantir implements stringent security protocols to ensure data integrity and confidentiality, making it a trusted partner for government and corporate clients alike. Predictions and Future Outlook The Path Ahead for Nvidia Nvidia’s trajectory suggests a continued dominance in AI infrastructure markets, especially as they explore innovations in quantum computing and edge AI. The company’s strategic focus on sustaining growth and addressing supply chain vulnerabilities positions them well for future challenges. Palantir’s Forward Movement Palantir’s focus on expanding its commercial sector reach and investing in AI-driven analytics positions it for innovative growth. The company’s commitment to enhancing its platforms indicates their ambition to deepen market penetration and expand service offerings. In conclusion, both Nvidia and Palantir are poised for significant advancements in the AI landscape. Nvidia offers robust growth with its cutting-edge technology and strategic industry focus, while Palantir promises resilience and versatility through its sophisticated data management tools. For investors and tech enthusiasts alike, both companies represent pivotal players in the future of AI advancement. For more information about these companies and their innovative solutions, visit Nvidia and Palantir .
CAMBRIDGE, UK , Dec. 19, 2024 /PRNewswire/ -- Darktrace, a global leader in AI for cybersecurity, today announces that Darktrace / EMAILTM, has been recognized in the first ever Gartner Magic QuadrantTM for Email Security Platforms (ESP) as a Challenger. Chris Kozup, Chief Marketing Officer, Darktrace, said of the recognition: "We are extremely proud to have been recognized in the first Magic Quadrant for ESP. Since launching Darktrace / EMAIL in 2019, we have grown quickly to support email security for nearly 5,000 organizations around the world, helping to keep them safe from even the most sophisticated and novel email compromises. We believe this wide-scale adoption is a result of our unique, AI-native approach to developing products. We are dedicated to delivering exceptional customer service and innovations that safeguard our customers against the email challenges of today— and tomorrow." Darktrace customers consistently acknowledge its exceptional customer support, delivered by an award-winning 1 service team. Darktrace has the highest percentage of 5-star ratings with a 4.8 rating on Gartner® Peer InsightsTM out of 249 reviews as of 19 th December . We feel this unwavering commitment to customer satisfaction is evident in strong renewal rates and accelerated growth in Darktrace / EMAIL over the past few years, gaining almost 5,000 customers since its launch in 2019. Darktrace / EMAIL, one of the fastest-growing email security products on the market, is built on Darktrace's unique Self-Learning AI, a multi-layered AI engine that leverages different types of AI including NLP and behavioral analysis to detect threats, instead of traditional security measures such as signatures and sandboxing. This approach enables Darktrace to detect and stop threats like business email compromise attacks and novel techniques, including some 56% of which passed through customers' other email security layers. This pioneering approach has enabled Darktrace to introduce industry-leading capabilities such as QR code analysis and automated incident investigations, alongside differentiated functionality to help teams add new depth to their email security, including: Marco Cavallo , IT Manager at Darktrace / EMAIL customer Arpa Industries comments: "During the POV, Darktrace / EMAIL showed how specific attacks were surgically blocked. We realized that other tools wouldn't have detected these threats." Darktrace / EMAIL is part of Darktrace's ActiveAI Security PlatformTM, offering network, cloud, endpoint, identity and operational technology protection from a single shared architecture, all built on Darktrace's unique AI engine – providing a strong, integrated approach to threat prevention, detection and response across an organization's entire digital footprint. Darktrace's global presence supports a diverse and varied customer base, and adapts proactively to customer pain points of all kinds. Darktrace's adaptability across all market segments, from SMBs to large enterprises, supports both first time email security buyers and mature email security stacks. It is able to meet varied security needs with lower setup requirements, includes capability for advanced depth in configuration and, particularly for mature organizations, can augment existing security providers with additional protections. Download the full Magic Quadrant for Email Security Platforms here Resources: Gartner disclaimers Gartner, Magic Quadrant for Email Security Platforms, Max Taggett , Nikul Patel , Franz Hinner , Deepak Mishra , 16 December 2024 GARTNER is a registered trademark and service mark of Gartner and Magic Quadrant and Peer Insights are a registered trademark, of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved. Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences with the vendors listed on the platform, should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates. Gartner does not endorse any vendor, product or service depicted in this content nor makes any warranties, expressed or implied, with respect to this content, about its accuracy or completeness, including any warranties of merchantability or fitness for a particular purpose. Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. About Darktrace Darktrace is a global leader in AI for cybersecurity that keeps organizations ahead of the changing threat landscape every day. Founded in 2013, Darktrace provides the essential cybersecurity platform protecting organizations from unknown threats using its proprietary AI that learns from the unique patterns of life for each customer in real-time. The Darktrace ActiveAI Security PlatformTM delivers a proactive approach to cyber resilience with pre-emptive visibility into security posture, real-time threat detection, and autonomous response – securing the business across cloud, email, identities, operational technology, endpoints, and network. Breakthrough innovations from our R&D teams in Cambridge, UK , and The Hague, Netherlands have resulted in over 200 patent applications filed. Darktrace's platform and services are supported by over 2,400 employees around the world who protect nearly 10,000 customers across all major industries globally. To learn more, visit http://www.darktrace.com . 1 Darktrace wins two Globee awards for excellent customer service [ Press Release ] View original content to download multimedia: https://www.prnewswire.com/news-releases/darktrace--email-recognized-in-first-ever-gartner-magic-quadrant-for-email-security-platforms-302336602.html SOURCE DarktraceGEO Group, one of the nation’s largest private prison contractors, filed a federal lawsuit last month against California officials to strike down a state law allowing local public health officials to inspect immigration detention facilities. The Florida-based company argued in a filing that California’s law , signed by Gov. Gavin Newsom in August, is unconstitutional because it steps on the federal government’s authority to manage detention centers. By extension, GEO claimed intergovernmental immunity as a contractor. “This case involves the latest in a string of attempts by the State of California to ban federal immigration enforcement in the state, or so significantly burden such efforts as to drive federal agencies and contractors involved in that constitutionally mandated national security function from California,” according to the lawsuit filed in the U.S District Court for the Eastern District of California. GEO spokesperson Christopher Ferreira did not respond to requests for comment. The lawsuit names Newsom, state Attorney General Rob Bonta, and Kern County health officer Kristopher Lyon as defendants. All three declined to comment. A first hearing is scheduled for February. GEO Group could expand its grip on immigration detention facilities now that former President Donald Trump won a second term. Trump has promised a mass deportation of immigrants living in the U.S. without authorization, and investors sense Trump’s policies will create a boon for private prison companies such as GEO. GEO’s stock skyrocketed, increasing 75% , after Trump’s victory. People and groups associated with the private prison giant spent roughly $5.6 million on lobbying and donations this past election cycle, much of it going to conservative political action committees, including $1 million to Make America Great Again Inc., according to OpenSecrets, a nonprofit that tracks campaign finance and lobbying data. César García Hernández, an immigration law professor at Ohio State University’s Moritz College of Law, said a judge will most likely block implementation of the California law while litigation is pending. In March, a federal judge blocked Washington state from enforcing most of a law to increase oversight and improve living conditions at that state’s only private immigration detention facility. “GEO has been rather successful in turning to the courts in order to block access to its facilities,” García Hernández said. “The private prison company is trying to insulate itself by taking cover under the fact that it is operating this facility under contract with the federal government.” California’s bill grants local public health officers, who routinely inspect county jails and state prisons, the ability to inspect private detention facilities, including all six federal immigration centers in California. Detainees have complained of health threats ranging from covid-19, mumps, and chickenpox outbreaks to contaminated water, moldy food, and air ducts spewing black dust. State lawmakers have attempted to regulate immigration facilities with mixed results. In 2019, Newsom, a Democrat, signed a measure banning private prisons and detention facilities from operating in California. But a federal court later declared the law unconstitutional, saying it interfered with federal functions. In 2021, California lawmakers passed a bill requiring private detention centers to comply with state and local public health orders and worker safety and health regulations. That measure was adopted at the height of the covid-19 pandemic, as the virus tore through detention facilities where people were packed into dorms with little or no protection from airborne viruses. Under the new law, public health officers will determine whether the facilities are complying with environmental rules, such as ensuring proper ventilation, and offering basic mental and physical health care, emergency treatment, and safely prepared food. Unlike public correctional facilities, which are inspected every year, health officers will inspect private detention centers as they deem necessary. Supporters say public health officers are well positioned to inspect these facilities because they understand how to make confined spaces safer for large populations. But GEO argued that California health codes and regulations aren’t always consistent with federal standards. The lawsuit pointed out, for instance, that California requires detainees at risk of self-harm or suicide to be transferred to a mental health facility. But Immigration and Customs Enforcement rules grant detention centers more discretion, allowing them to transfer a detainee to a mental health facility or keep them in suicide-resistant isolation at the detention center through monitoring every 15 minutes. GEO also warned in its complaint that implementing the law could cost up to $500,000. Immigrant advocates say the federal government has done a poor job ensuring health and safety. In a paper published in June , researchers showed that immigration officials and a private auditor conducted inspections infrequently — at least once every three years — and provided limited public information about deficiencies and if or how they were addressed. In response, detainees have filed suits alleging crowded and unsanitary conditions ; denial of adequate mental and medical health care; medical neglect ; and wrongful death by suicide. “Why shouldn’t they let an inspector go inside the facilities if they are abiding by the standards,” said Jose Ruben Hernandez Gomez, who was detained for 16 months and released in April 2023. “If they have nothing to hide, they shouldn’t be filing a lawsuit.” Hernandez Gomez went on a hunger strike for 21 days after filing dozens of grievances alleging abusive treatment and poor sanitation. Last month, eight members of California’s congressional delegation urged the Department of Homeland Security to end its contracts with two GEO-operated immigration centers, Golden State Annex and Mesa Verde ICE Processing Center, where multiple hunger and labor strikes were held this year. Strikers demanded an end to inadequate medical and mental health services, poor living conditions, and solitary confinement. Advocates fear GEO’s legal victories could be dangerous for the health of immigrants. After Washington state’s Department of Health was denied access to the Northwest ICE Processing Center, the state’s only immigration center, two people died in the facility, including one in October. This article was produced by KFF Health News , which publishes California Healthline , an editorially independent service of the California Health Care Foundation . ( KFF Health News is a national newsroom that produces in-depth journalism about health issues and is one of the core operating programs of KFF — the independent source for health policy research, polling and journalism.) ©2024 KFF Health News. Distributed by Tribune Content Agency, LLC.
2024 may not have been as big a year for television as 2023 – but there were plenty of gems. Series like FX's "Shōgun," Prime Video's "Fallout," and Netflix's "Baby Reindeer" cut through the noise. Here are the BI entertainment team's favorite television series of the year. Advertisement Amid shake-ups in the television industry, 2024 still delivered a slate of great TV series ranging from familiar continuations to ambitious debuts. That includes series like FX's "Shōgun," an immersive adaptation that brought top Japanese talent to American screens; the Brian Jordan Alvarez comedy "English Teacher," which turns high school culture wars into comedy fodder; and hits like "Baby Reindeer," which captivated the world with a story pulled from creator Richard Gadd's life. Advertisement Here are our favorites from this year.Kolkata: Woman’s severed head found in polythene, brother-in-law arrested
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