Anomali, a leader in AI-powered security and IT operations, has introduced Anomali Agentic AI, the latest evolution of its native AI capabilities. This groundbreaking feature, integrated across the Anomali unified security data platform, provides advanced reasoning, contextual awareness, and retrieval-based learning to supercharge the Threat Detection, Investigation, and Response (TDIR) process. Agentic AI is designed to enhance security teams' productivity and precision by enabling faster, smarter, and more informed decision-making. Its "thinking" AI experience is tailor-built to integrate seamlessly into everyday security workflows, ensuring full control for security analysts while enhancing security operations.
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Groq, a leading player in AI inference, has announced its partnership with Meta to deliver a fast inference solution for the official Llama API. This collaboration provides developers with an efficient, cost-effective way to run the latest Llama models without compromising on performance. In this partnership, Groq accelerates the Llama 4 API model using its LPU, the world’s most efficient inference chip. This combination delivers low-cost, fast responses, and scalable production-ready workloads. Currently in preview, the Groq-powered Llama API enables developers to enjoy unmatched speed and cost efficiency when integrating Llama models into their applications. With no tradeoffs in performance, developers can access fast AI inference at scale, optimized for production.
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Acceldata, a leader in data observability and agentic data management solutions, has unveiled its groundbreaking Adaptive AI Anomaly Detection capability. A key component of the company's revolutionary xLake Reasoning Engine, this new feature empowers organizations to automatically detect hidden, multi-dimensional data anomalies before they impact business operations. By setting a new benchmark in autonomous data quality, Acceldata is transforming how enterprises manage and maintain data integrity in real time. Traditional anomaly detection tools have been limited to identifying one-dimensional errors, such as a misplaced decimal point in a sales figure. However, Acceldata Adaptive AI is designed to go beyond these basic errors, identifying hidden anomalies that span multiple data dimensions—such as sales, product IDs, regions, and time—allowing businesses to uncover deeper insights and act faster. This capability reduces manual analysis from weeks to minutes, providing clarity at the business level rather than just raw data alerts.
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As AI becomes increasingly integrated into business operations, organizations face mounting pressure to manage the risks associated with data privacy, security, and compliance. BigID, a leader in data security, privacy, and AI data management, has taken a major step in addressing these concerns with the launch of AI Data Lineage—a pioneering solution designed to provide organizations with deep insights into how AI models interact with data. This solution not only enhances AI transparency but also ensures that companies can meet stringent compliance standards, such as GDPR, CCPA, and emerging AI-specific regulations. As AI adoption accelerates, AI Data Lineage equips organizations with the tools to monitor and govern AI data usage effectively, safeguarding sensitive data and mitigating risks.
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ancora Software, a leader in intelligent document processing solutions, has announced its return as a Platinum sponsor of Epicor Insights 2025, the flagship global customer conference hosted by Epicor. Taking place May 5–8, 2025, at the Mandalay Bay Resort & Convention Center in Las Vegas, the event will bring together thousands of Epicor customers and partners for a deep dive into cloud ERP innovation and digital transformation. ancora’s technology underpins Epicor’s Intelligent Document Capture (IDC) solution, empowering organizations to streamline their accounts payable (AP) and document management workflows through advanced automation, machine learning, and integration with Epicor ECM.
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Hikvision, a global leader in intelligent video solutions, has officially launched its Guanlan Large-Scale AI Models—a new AI suite designed to push the boundaries of AIoT (Artificial Intelligence of Things) innovation. Built on deep industry training and guided by the philosophy of perceiving subtle patterns, Guanlan introduces a powerful approach to computer vision, natural language processing, and multimodal fusion. This launch marks a pivotal step in Hikvision’s transformation from traditional video security to scenario-based digitalization powered by AI.
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GoodGoblin.ai, a fast-growing EdTech platform powered by AI, has unveiled a suite of powerful new features aimed at transforming how high school students navigate the increasingly complex college admissions process. The upgraded platform now offers an AI-driven student profile builder, multi-round essay review tools, and customizable AI model options—all centered around real-time admissions probability scores that bring unprecedented clarity to college applicants.
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Palo Alto Networks® launched Cortex XSIAM® 3.0, a major upgrade to its industry-leading security operations platform. The latest release introduces AI-powered Exposure Management and Advanced Email Security, enabling organizations to proactively prevent cyberattacks while accelerating response across the enterprise. Three years after pioneering a new standard for SecOps with Cortex XSIAM, Palo Alto Networks has now achieved over $1 billion in cumulative bookings, making it the company’s fastest-growing platform. With version 3.0, the company is evolving from reactive threat defense to a holistic, proactive security model, addressing a total addressable market (TAM) of $37 billion.
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ModelOp, a leader in AI lifecycle automation and governance for enterprises, today announced its official membership in the Coalition for Health AI (CHAI), reinforcing the company’s commitment to ethical, safe, and validated AI practices in healthcare. As healthcare rapidly adopts AI to improve clinical outcomes, diagnostic accuracy, and patient equity, the need for robust governance frameworks has never been more critical. CHAI is a multi-stakeholder consortium dedicated to building independent validation standards and interoperable best practices for AI tools that impact patient care.
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