Cyera unveiled Access Trail at its flagship DataSecAI25 conference in Dallas, introducing a breakthrough capability that gives organizations complete visibility into every data touchpoint across human and machine identities. The launch comes as new findings from Cyera’s 2025 State of AI Report reveal that while 83% of organizations now use AI daily, only 13% have strong visibility into how it interacts with enterprise data — a growing concern as autonomous agents transform data movement and create new blind spots for security teams.

Access Trail is built to address this challenge head-on. By uniting AI-powered data classification, identity intelligence (human and non-human), access activity, and AI security, Cyera provides the visibility, control, and assurance enterprises need to safely scale AI adoption.

“With AI fundamentally changing how data is created and accessed, security teams need a new level of visibility,” said Guy Gertner, VP of Product at Cyera. “Access Trail delivers that clarity, helping organizations monitor every interaction between data and the humans, systems, and AI accessing it — enabling them to move faster while staying secure and compliant.”

Inside Access Trail: Mapping Every Data Interaction

Access Trail captures billions of access events annually, retaining data for one year to give security teams detailed visibility at scale. Built on Cyera’s AI-native data security platform, it correlates every access action with data sensitivity, ownership, location, and existing controls.

Key capabilities include:

• Automated Compliance Reporting: Generates verifiable audit reports for at least one year, replacing manual reporting and demonstrating control effectiveness.

• Insider Threat Investigation: Correlates access patterns and data sensitivity to detect privilege misuse and risky behavior in near real time.

• AI Data Monitoring: Tracks AI-driven access and transformations to ensure transparency and trust.

• Least Privilege Enforcement: Identifies and remediates excessive permissions with actionable insights.

Currently in Early Access, Access Trail integrates automated remediation — enabling teams to disable access or alert data owners as soon as issues arise.

Expanding the AI Security Platform

Building on the introduction of AI Guardian in August, Cyera announced new enhancements across its AI security portfolio:

• AI Security Posture Management (AI-SPM) — now in Early Access, enables discovery, inventory, and risk mapping of all AI assets across deployments.

• AI Protect — now Generally Available, secures Microsoft 365 and public apps by automatically detecting and blocking risky actions such as non-compliant prompts or unauthorized agent behaviors.

Together, these solutions give organizations unified visibility across all AI assets and data interactions.

Cy: The GenAI Assistant for Data Security Teams

Cyera also introduced Cy, a GenAI-powered assistant (in private beta) that allows users to query data in natural language. From generating data retention reports to surfacing top risk reduction opportunities, Cy simplifies complex analysis, providing instant, shareable intelligence.

Example queries include:

• “Show me the lowest-effort, highest-impact issues I can resolve today.”

• “Generate a data retention report for the current fiscal year.”

• “Which third-party users pose the highest risk to my data?”

Building a Data Security Community

Rounding out its announcements, Cyera introduced the DataSecAI Portal — a new hub for data security, compliance, and AI leaders to collaborate and learn. The portal offers access to Cyera’s AI Security School, Data Security School, and a library of webinars and resources that have already reached over 15,500 professionals worldwide.

With these new capabilities, Cyera continues to redefine how enterprises secure AI ecosystems, bringing clarity to an increasingly opaque data landscape.

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Starburst, the data platform for apps and AI, has joined the Open Semantic Interchange (OSI), a major open-source initiative led by Snowflake and partners across industries. The collaboration seeks to define a universal, vendor-neutral specification for semantic metadata—standardizing how organizations describe, share, and integrate their data for analytics and AI.

Setting a New Standard for AI Data Interoperability

In today’s fragmented data landscape, businesses often struggle to align metrics across dashboards, notebooks, and machine learning models. OSI aims to solve that problem by creating an open, consistent framework that ensures interoperability across data platforms.

Led by Snowflake, the AI Data Cloud company, OSI brings together key players in business intelligence, data governance, data engineering, financial services, and manufacturing. The goal is clear: establish a shared semantic model that enhances data exchange, consistency, and transparency across the enterprise stack.

A Vendor-Neutral Framework for the Data Economy

By joining OSI, Starburst reinforces its mission to deliver an open and unified data experience. “OSI represents the future of data exchange for AI, one built on standards, interoperability, and customer choice,” said Justin Borgman, CEO and Co-Founder of Starburst. “By establishing common standards, we’re enabling organizations to seamlessly maintain business context across platforms and tools.”

The initiative’s vendor-agnostic model lets enterprises move beyond proprietary ecosystems, ensuring they maintain full control over their semantic data definitions. This approach enables accurate, cross-functional analytics and easier data sharing to power AI-driven decision-making.

Collaboration That Builds the AI Foundation

According to Josh Klahr, Director of Analytics Product Management at Snowflake, “Unlocking the full potential of data and AI requires a common foundation, and the Open Semantic Interchange is the critical step in building that bedrock.”

Klahr emphasized that the collaboration with Starburst and other ecosystem partners ensures clarity and consistency across tools—simplifying operations and accelerating AI adoption. The initiative promotes transparency and community involvement to develop a flexible standard capable of evolving with the fast-paced data ecosystem.

Why OSI Matters for the Future of Data and AI

As data complexity grows, organizations need shared definitions and interoperable tools to keep up. OSI’s open-source model reduces friction in data integration and enables developers, analysts, and data scientists to work from a single source of truth.

For enterprises, this means faster access to insights, simplified governance, and a stronger foundation for AI innovation. By promoting collaboration over competition, OSI could become the blueprint for the next era of semantic data infrastructure—one where consistency and openness drive long-term growth.

Starburst’s involvement marks another step toward this vision, advancing the open data movement and helping enterprises build AI-ready architectures that are as transparent as they are powerful.

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Orange Logic has been recognized as a Leader in the 2025 Gartner Magic Quadrant for Digital Asset Management (DAM), a distinction that highlights its innovation, scalability, and deep commitment to enterprise content orchestration. The report evaluates vendors based on Completeness of Vision and Ability to Execute, placing Orange Logic among the top performers in the global DAM landscape.

Redefining Digital Asset Management

Orange Logic’s recognition reflects its ongoing mission to simplify complex content operations for enterprises worldwide. The company’s unified platform does more than store digital assets—it connects global teams, automates content workflows, and streamlines creative production from ideation to distribution.

“We feel that being recognized as a Leader in the Gartner Magic Quadrant is a proud moment for Orange Logic—and equally for the customers we serve,” said Brian McLaughlin, CEO of Orange Logic. “Their confidence and partnership continue to inspire us to innovate, push boundaries, and redefine what a DAM and Content Orchestration Platform can achieve.”

A Platform Built for Scale and Speed

Orange Logic’s platform stands out for its end-to-end approach. It combines Digital Asset Management (DAM), Media Asset Management (MAM), Digital Rights Management (DRM), preservation, and project management in a single, configurable solution.

Key features driving its leadership include:

• Collaboration at Scale: Real-time mark-ups, approval workflows, and deep integrations with Adobe Creative Cloud.

• Intelligent Automation: AI-powered metadata, natural language search, and agentic workflows that eliminate repetitive tasks.

• Video-Ready Functionality: Frame-level search, native transcoding, and speech-to-text for managing large video libraries.

• Built-In Compliance: Granular DRM capabilities supported by SOC 2 and ISO 27001 certifications.

Driving Innovation with AI and Agentic Workflows

Orange Logic’s latest innovations—AgentHub, a visual workflow design tool, and AI-driven conversational search—demonstrate its vision for intelligent content operations. The company is also developing DNA mapping, a new initiative that trains AI agents on brand and user behavior data to enhance decision-making and creative efficiency.

These capabilities represent a clear move toward agentic automation—AI systems capable of understanding context, learning workflows, and dynamically assisting creative teams. For enterprises managing thousands of digital assets daily, such tools offer a significant productivity leap.

Momentum Across Industries

With a growing global footprint across North America and EMEA, Orange Logic supports large enterprises in media and entertainment, retail, CPG, and financial services. Its DAM platform powers content orchestration for organizations that demand both speed and security in an era of escalating content complexity.

Orange Logic’s momentum reinforces a broader industry trend: as enterprises adopt AI-driven workflows, traditional DAM systems must evolve into content intelligence platforms that unify creativity, compliance, and collaboration.

The company’s continued innovation, customer focus, and AI-forward roadmap signal why Gartner positioned it as a leader—and why it’s increasingly becoming the platform of choice for enterprises seeking smarter, faster, and compliant content operations.

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Wondershare has unveiled Filmora V15, the latest version of its flagship video creation software, signaling a bold step toward the AI-driven future of video editing. Under the banner “Edit as an Expert with Filmora AI,” the release introduces a deeply integrated AI workflow designed to simplify complex editing and empower creators at every level.

Positioned as an all-in-one platform for professional video production, Filmora V15 brings intelligent content generation, smart editing automation, and intuitive creative control into a single streamlined interface. With AI now embedded throughout the creative pipeline, the new release redefines how creators plan, produce, and polish content — bridging the gap between creativity and efficiency.

AI at the Core of the Workflow

Unlike traditional software that treats AI as a plug-in feature, Filmora V15 makes AI the backbone of its editing process. The platform enables an uninterrupted creative flow — from ideation to output — through a suite of intelligent tools.

Among its highlights:

• AI Extend: Automatically lengthens clips with smooth, visually consistent transitions.

• Smart Cutout: Upgraded algorithms refine subject selection with edge-level precision and minimal manual adjustment.

• AI Object Remover: Quickly eliminates watermarks, text, or unwanted objects while maintaining natural image quality.

• AI Video Enhancer: Uses advanced portrait recognition to preserve lighting and color fidelity in high-resolution videos.

Together, these tools create an end-to-end AI-assisted editing experience that reduces technical barriers and enhances storytelling speed.

Smarter Editing, Simplified Workflows

Beyond its AI features, Filmora V15 introduces several updates aimed at professionals handling complex projects.

• The new Pen Tool allows users to draw motion paths and shapes directly on the timeline.

• Animated Charts turn raw data into dynamic visuals, supporting more compelling narrative storytelling.

• The Expanded Resource Library offers localized fonts, trending effects, and cinematic filters for global creators.

Filmora V15 also introduces Dual-Timeline Editing, Subprojects, and Multi-track Video capabilities, enabling users to manage multiple clips, reuse assets, and streamline collaborative workflows — a major advantage for agencies and production teams.

Evolving into an Intelligent Creative Partner

“AI-generated content is reshaping the landscape of video creation,” said Christy, Vice President of Wondershare. “Filmora has evolved alongside creators for 15 years, continuously lowering the technical barriers to storytelling. Now, in the age of AI, Filmora is transforming from a video-editing tool into an intelligent creative partner — one that understands intent, automates complexity, and empowers creators to work faster and smarter.”

This evolution reflects a broader shift in the creator economy, which reached $143 billion in 2024 and is projected to grow tenfold by 2034, according to Market.us. Filmora V15 positions Wondershare to lead this growth by making professional-grade AI tools accessible to all creators, from YouTubers to marketing teams.

A Future-Ready Platform for AI Video Creation

Filmora V15’s unified AI ecosystem makes professional video editing more efficient, precise, and adaptive to the demands of modern content production. By blending automation with creative freedom, Wondershare delivers a platform that helps creators of all skill levels keep pace with the rapid evolution of AI in media.

For a creator economy hungry for innovation and speed, Filmora V15 marks the beginning of a new era in intelligent, human-centric video production.

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M-Files, a leader in context-first document management, has launched M-Files Workspaces, a new business application that transforms how organizations manage, understand, and act on information in the age of AI. Built on the company’s unique context-first architecture, Workspaces goes beyond traditional document storage—linking every piece of content to the people, projects, and processes that define its purpose.

The result? A unified, intelligent view of work that simplifies complexity, accelerates decisions, and enhances compliance across the enterprise.

Moving Beyond Document Storage

While most businesses still rely on fragmented systems and manual searches to locate vital information, M-Files Workspaces takes a different approach. Instead of organizing documents by where they are stored, it organizes them by why they matter—presenting all related documents, tasks, and stakeholders in one connected view.

This context-first model empowers employees to start with what’s most important—a client, a project, or a process—and instantly access everything relevant. It eliminates the friction of navigating endless folders or chasing down updates, creating a faster, more transparent workflow.

“As generative AI becomes more pervasive, information overload is becoming a real threat to productivity,” said Tony Grout, Chief Product Officer at M-Files. “Workspaces represents a fundamental shift in how people work with documents and business information. M-Files is built on a model that understands how your business operates, delivering insights you can trust and automation that feels natural.”

A Unified Experience Built for Efficiency

Workspaces is powered by M-Files Aino (“I-Know”), the company’s AI engine that delivers intelligence through context rather than isolated data. Aino connects clients, projects, and workflows to generate smarter insights, drive automation, and ensure compliance—all while maintaining a frictionless experience.

According to Mikko Pippuri, Digital Ninja at Berggren, the solution is already showing transformative results. “With M-Files Workspaces, we expect to significantly reduce the time our busy experts spend searching for information,” he said. “We’re looking ahead to complete visibility into our clients and cases, where decisions happen faster, errors are minimized, and collaboration feels effortless.”

Designed for Smarter, Faster, More Human Work

M-Files Workspaces reimagines how teams interact with information through three core capabilities:

• Faster Access to Relevant Content: Personalized, role-based views surface the most critical documents and insights, including files from Microsoft 365.

• Effortless Navigation: Users move seamlessly between related items—documents, projects, or contacts—without endless backtracking or filtering.

• Complete Context in One View: A unified interface brings together all relevant content, stakeholders, and systems, offering total visibility into the business process.

Workspaces also integrates deeply with core business platforms such as CRM, ERP, and Practice Management systems, ensuring users always have the right information in the right context.

Redefining Productivity in the AI Age

In an era where knowledge is scattered across disconnected systems, M-Files Workspaces aims to reconnect the dots. Its context-first model reduces operational friction, empowers employees to make faster and more informed decisions, and turns information chaos into structured clarity.

By bridging AI intelligence with human intent, M-Files is not just improving document management—it’s reshaping how organizations work, collaborate, and innovate in a connected, AI-powered world.

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Rivvit, a leading data management and reporting platform for investment managers, has announced the availability of its data within Snowflake’s AI Data Cloud, offering clients a new way to access, analyze, and act on trusted investment data across their enterprise systems.

The integration strengthens Rivvit’s mission to make investment data more accessible, connected, and actionable for financial institutions. Through Snowflake’s secure and scalable environment, asset managers can now leverage Rivvit’s clean, normalized, and governed data directly for analytics, modeling, and business applications.

“Data accessibility is the next frontier for investment firms,” said Greg Dziad, COO of Rivvit. “Rivvit ensures that the data entering Snowflake is accurate, governed, and ready to use. Together, we’re giving clients the combined power of Rivvit’s trusted data foundation and Snowflake’s modern scalability.”

Rivvit acts as a data backbone, integrating information from trading, accounting, performance, and risk systems into a unified model purpose-built for investment management. The Snowflake partnership extends this foundation, enabling seamless use of “gold copy” data across internal teams, partners, and business applications—without compromising governance or performance.

The collaboration will allow investment firms to:

• Instantly access trusted data within Snowflake for AI-driven insights and analytics

• Scale securely using Snowflake’s governance and performance capabilities

• Extend data usage across teams and partners with full control and transparency

“Snowflake has transformed how organizations connect and collaborate with data,” Dziad added. “Rivvit builds on that foundation by modernizing how investment managers organize, govern, and share their data. Together, we’re helping firms unlock new levels of transparency, efficiency, and innovation.”

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Memgraph, the open-source in-memory graph database platform, is breaking new ground with the release of two major tools designed to simplify and democratize access to Retrieval-Augmented Generation (GraphRAG) technology. The AI Graph Toolkit, available immediately, and an upcoming MCP Client aim to make it easier for developers to bridge traditional SQL and unstructured data with the advanced reasoning capabilities of graph-based AI systems.

Opening the Door to GraphRAG for All

GraphRAG—first introduced by Microsoft in 2024—has quickly become one of the most effective methods for improving large language model (LLM) reasoning. By combining graph databases with retrieval-augmented generation, GraphRAG helps LLMs deliver accurate, context-rich, and non-hallucinatory answers.

Despite its promise, GraphRAG adoption has largely been confined to graph database specialists. The vast majority of developers still work within SQL environments, and much of enterprise data remains trapped in relational and unstructured formats. According to Gartner, 62% of global DBMS revenue in 2023 came from relational systems, while 80–90% of new enterprise data is unstructured.

Memgraph’s new toolkit and client aim to close that gap.

Automating Data Transformation with the AI Graph Toolkit

The AI Graph Toolkit is a set of open-source libraries and utilities that automate the conversion of SQL and unstructured data into a graph format ready for GraphRAG pipelines. The toolkit includes SQL2Graph and Unstructured2Graph, both of which allow developers to seamlessly build knowledge graphs from existing data sources.

This automation replaces the tedious manual work traditionally required—mapping tables, identifying entities, performing entity resolution, and converting unstructured files into vector embeddings. Developers can now prepare data for GraphRAG-driven applications with 10x faster development cycles, based on results from multiple beta test sites.

Marko Budiselić, Memgraph’s CTO and Co-founder, emphasized the breakthrough:

“Our new tools make GraphRAG development far more accessible. Developers no longer need deep graph expertise to transform SQL and unstructured data into powerful AI-ready knowledge graphs. The result is faster, smarter, and more reliable AI chatbot performance.”

The MCP Client: Expanding Graph Connectivity

Launching later this month, Memgraph’s MCP Client will further streamline integration between graph systems and diverse data environments. Fully compatible with the emerging standard for context engineering, the client enables seamless connectivity between Memgraph’s graph capabilities and various back-end sources through other MCP Servers.

This interoperability is expected to accelerate AI developer productivity, especially for organizations adopting hybrid data architectures.

From Prototype to Production with JumpStart

To help enterprises deploy production-ready GraphRAG solutions quickly, Memgraph has introduced the JumpStart Programme. The initiative combines a Memgraph Enterprise license with over 20 hours of expert support and implementation. Within weeks, companies can achieve a full GraphRAG pipeline featuring hybrid search (vector + graph reasoning), sub-second latency, and explainable, provenance-rich answers.

The AI Graph Toolkit is now available for download via GitHub and is also accessible through Memgraph Cloud. More details about the Toolkit and MCP Client will be shared at Connected Data London, held at the Leonardo Royal London Hotel Tower Bridge on November 20–21, 2025.

Memgraph’s push into GraphRAG accessibility signals a significant leap for the AI and data management landscape—one that could finally unite structured and unstructured data under a single, intelligent framework for real-time enterprise applications.

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Picsart, the global leader in digital creation with more than 2 billion downloads and 130 million monthly active users across 150 countries, has expanded its creative platform with new AI-driven products designed to accelerate “vibe design” at scale. Announced at Web Summit 2025 in Lisbon, the company’s latest innovations—Picsart Assistant and Picsart Flows—combine conversational intelligence with professional-grade creative tools to simplify design workflows and empower creators worldwide.

Revolutionizing Vibe Design Through AI

Picsart has long been the go-to platform for creators, offering 150+ design tools, millions of templates, stickers, and stock content. With over half its user base made up of Gen Z creators, the company’s latest AI advancements reflect its deep understanding of how this generation blends creativity with technology.

“Picsart is dedicated to empowering users to bring their ideas to life faster and smarter,” said Hovhannes Avoyan, CEO and Co-founder of Picsart. “With Picsart Assistant and Flows, we’re enabling creators to design intuitively, focus on their vision, and produce stunning results with ease.”

Both tools introduce a new era of conversational creativity, where users describe what they want to achieve—and Picsart’s AI handles the rest.

Picsart Assistant: Your Conversational Creative Partner

The Picsart Assistant is built for “vibe design,” helping users express emotions, moods, and styles through natural language. Instead of relying on static tools or complex prompts, creators can converse directly with the AI, describing their goals in plain English or even by voice.

“Designing doesn’t start with tools—it starts with imagination,” said Mikayel Vardanyan, COO and Co-founder of Picsart. “Picsart Assistant gives users a creative partner that understands their vibe, adapts in real time, and keeps every design editable.”

Key features include:

• Goal-Oriented Creation: Users describe outcomes, and the AI delivers.

• Layered Generation: Produces editable, multi-layer designs for easy adjustments.

• Voice-to-Design: Converts natural speech into fully realized visuals.

• Unified Workspace: Brings all of Picsart’s tools into one intuitive, conversational flow.

• Adaptive Intelligence: Learns user preferences for improved results.

• Context Intelligence: Tailors designs based on purpose—ads, social posts, or campaigns.

By automatically selecting the right AI models for each project, Picsart Assistant eliminates technical guesswork, allowing creators to focus purely on storytelling and aesthetic.

Picsart Flows: Infinite Canvas for Collaboration

Picsart Flows extends the platform into a fully scalable, infinite creative workspace. Designed for creators and marketing teams managing multiple projects, Flows integrates all creative assets—images, videos, text, and AI tools—into one seamless ecosystem.

Users can create, test, and automate campaigns without leaving the platform, drastically reducing subscription fatigue and tool-hopping. For advanced users, Flows supports integration with third-party AI models, offering flexibility and speed for enterprise-grade content production.

“Flows lets creators move from idea to campaign execution without losing focus,” said Tom Howes, Product Director at Picsart. “It eliminates repetitive tasks and enables creators to automate output while keeping creative control.”

Key features include:

• Infinite Canvas: Work fluidly across projects without page limits.

• AI Model Choice: Select preferred AI tools for specific creative needs.

• Repeatable Workflows: Reuse and adapt Flows across campaigns.

• Pre-Built Templates: Jumpstart projects with built-in AI flow prompts.

• Real-Time Collaboration: Work with teammates simultaneously within one environment.

Empowering the Next Generation of Creators

Picsart’s expansion into conversational AI represents a pivotal shift in creative technology—aligning with a generation that values speed, collaboration, and authenticity. The new tools simplify the process of producing high-quality content for social media, marketing, and brand storytelling, all while maintaining creative control.

“Picsart’s AI ecosystem gives creators professional-grade power with zero learning curve,” said Avoyan. “We’re helping the next generation of digital storytellers thrive in a content-first world.”

Live from Web Summit 2025

Picsart’s leadership team is showcasing these innovations at Web Summit 2025:

• Hovhannes Avoyan, CEO and Co-founder, presents the official launch of Picsart Assistant and Flows on November 12 at 11:30 WET.

• Tom Howes, Product Director, hosts a Masterclass at 16:00 WET, offering hands-on guidance on how to integrate these tools into professional workflows.

With AI now at the core of its platform, Picsart is cementing its position as the creative engine for a new generation—one where technology amplifies imagination and design becomes as natural as conversation.

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