Peloton launched its own marketplace for reselling used equipment and gear as the company looks to capitalize on the many bikes and treadmills collecting dust in people’s homes. The platform, dubbed Repowered, will allow members to post listings for their used Peloton equipment and gear and set a price with help from a generative AI tool. Sellers have the final say on how much to list the item for, but the AI tool will suggest a price based on information about the product, such as its age, Peloton said. It said sellers will get 70% of the sales price, while the rest will be shared between Peloton and its platform provider, Archive. Sellers will get a discount toward new equipment, while buyers will see the activation fee for a used product drop from $95 to $45. Buyers will be able to see the equipment’s history on the listing and have the option to get the item delivered for an extra fee, Peloton said. The resale market for used bikes and treadmills is booming. The company said it wants to streamline the sale process for members and offer a safe and comfortable way for prospective customers to buy equipment. It’s also an opportunity for Peloton to reach a wider array of new users as it plots a pathway back to growth.
AdLift ‘Tesseract offers real-time visibility into how brands are being discovered and represented within AI-powered responses
AdLift announced the launch of Tesseract, an innovative AI-driven platform. Tesseract is the first-ever tool designed to help brands, agencies, and marketers track and amplify their presence across the rapidly expanding landscape of LLM powered search platforms, such as ChatGPT, Gemini, Google AI Overviews, and Perplexity. AdLift Inc., now part of Liqvd Asia, has been at the forefront of innovation, bringing together top talent to deliver groundbreaking solutions. With Tesseract, their latest breakthrough, they’re taking AI-powered marketing to the next level. This breakthrough technology is built to give brands unprecedented real-time visibility into how they are being discovered and represented within AI-powered responses. It empowers marketers to not only monitor but also optimize their digital footprint where it counts—in the very engines powering the next generation of search. Tesseract goes beyond legacy SEO tools by decoding the complex ways LLMs display and prioritize brand content across diverse AI-driven channels. Whether its tracking brand mentions in ChatGPT conversations or analyzing visibility in Google’s AI Overviews, the platform delivers actionable insights that fuel smarter, AI-savvy marketing strategies. Prashant Puri, CEO & Co-Founder of AdLift, “The dominance of traditional search engines is being challenged by AI-native platforms that interpret and present information differently. Brands that don’t adapt risk becoming invisible in this new landscape. Tesseract is our answer to this challenge—a revolutionary tool that puts brands back in control of their digital destiny.”
Cognitiv AI personas transforms real-time consumer behavior data into dynamic audience profiles, revealing exactly which content triggers conversions to optimize targeting precision delivers 9X performance lift
Cognitiv announced AI Personas, a first-of-its-kind solution that transforms real-time consumer behavior data into dynamic audience profiles, revealing exactly which content triggers conversions to optimize targeting precision. Unlike traditional static segments, Cognitiv AI Personas evolve continuously with consumer behavior, built from each brand’s unique first-party data, rather than relying on off-the-shelf audience taxonomies used by competitors. While in beta, Cognitiv’s AI Personas has outperformed advertiser CPA goals by 9x, achieved 90% more efficient cost-per-action and outperformed CTR benchmarks by 60%. The offering allows advertisers to gain an unprecedented look “under the hood,” unlocking a holistic understanding of their consumers through the AI powering Cognitiv’s custom algorithms. This helps validate existing strategies while illuminating blind spots across display, social, and other channels. With these insights, advertisers can track the relationship between campaign lift and changes in audience engagement over time to refine creative messaging, audience strategies, and campaign optimization. Advertisers can also use AI Personas to reach audiences through ContextGPT, Cognitiv’s advanced contextual targeting solution. By knowing where high performing audiences are most likely to be online, ContextGPT helps advertisers better understand their target audience and reach them in the appropriate contexts.
Google warns of social engineering scheme targeting Salesforce users that steals data on a large scale and then try to extort the targeted company
Google Threat Intelligence Group warned that an organization specializing in voice phishing (vishing) is targeting Salesforce users. The attackers, dubbed UNC6040, have repeatedly been successful in recent months in breaching networks through social engineering schemes. UNC6040’s operators contact companies by telephone, impersonate IT support personnel, and trick employees into granting the attackers access or sharing credentials that can be used to steal the organization’s Salesforce data. In all observed cases, attackers relied on manipulating end users, not exploiting any vulnerability inherent to Salesforce. Once they have compromised the Salesforce instance, the attackers steal data on a large scale and then try to extort the targeted company. In some instances, extortion activities haven’t been observed until several months after the initial UNC6040 intrusion activity, which could suggest that UNC6040 has partnered with a second threat actor that monetizes access to the stolen data. GTIG suggested in its blog post that companies defend against social engineering threats by adhering to the principle of least privilege, managing access to connected applications rigorously, enforcing IP-based access restrictions, leveraging advanced security monitoring and policy enforcement with Salesforce Shield, and enforcing multifactor authentication universally.
Mind prevents data leaks using AI, combining a data security posture and data loss prevention in one unified platform.” Mind said its platform employs a multilayer classification system to identify sensitive data I
Mind Security Inc., a provider of AI automated data loss prevention solutions to help businesses avoid costly breaches, has raised $30 million in early-stage funding led by Paladin Capital Group and Crosspoint Capital Partners. Mind provides AI-native data loss prevention solutions and insider risk management programs that will autonomously detect sensitive data, assist with risk issues and stop them before they get out the door. The company says it can provide this solution at “machine speed” by providing a “unique approach by combining a data security posture and data loss prevention in one unified platform.” Mind said its platform employs a multilayer classification system to identify sensitive data and minimize false positives. This is something that traditional systems make difficult for teams due to excessive alerts and manual overviews, which can overburden data loss prevention teams. According to Mind, prevention starts with real-time detection and blocking of attempts, either malicious or inadvertent, to remove sensitive data from within company firewalls. When such data is on the move, the company says, its AI-native platform leaps into action and makes an autonomous decision based on business context to determine normal user behaviors versus high-risk behaviors that should be stopped.
Striim launches AI agents for near real-time data governance, that continuously analyzes live data streams to detect and protect sensitive information as it moves – automating encryption, masking, and compliance enforcement in real time
Striim has launched Sherlock AI and Sentinel AI – two governance AI agents powered by Snowflake Cortex AI – that help organizations detect, tag, and protect sensitive upstream data in transit, minimizing exposure risks, preventing compliance penalties, and safeguarding corporate reputation through continuous, near real-time monitoring. Alok Pareek, Co-Founder and Executive Vice President of Engineering and Products at Striim. “The new Sherlock AI identifies blind spots by discovering sensitive data prior to data sharing or movement. Since data doesn’t stay in one place, Striim’s Sentinel AI agent complements Sherlock by protecting sensitive information in real time as it moves through enterprise data pipelines. This upstream application of AI-driven intelligence not only helps prevent sensitive data leaks but also enables auditing of the detection measures in place, significantly lowering costs and saving time for both organizations and regulators.” Sherlock AI delivers transparency by pinpointing sensitive information within datasets before they’re shared or transferred through data pipelines across on-premise or cloud-based enterprise data repositories, third-party databases, and SaaS environments. This helps organizations assess potential risks upstream and proactively apply appropriate governance measures.
Postman looks to streamline API and agentic AI development with Agent Mode that automates API design, testing, documentation, and monitoring through natural language inputs
Postman Inc. is rolling out a suite of AI-driven features aimed at transforming API development. The company’s latest introduction, Agent Mode, automates API design, testing, documentation, and monitoring through natural language inputs. This feature acts as a fully capable execution agent, streamlining development workflows and reducing manual effort. Beyond Agent Mode, Postman is enhancing real-time API observability, enterprise-ready integrations, and support for the Model Context Protocol (MCP), which standardizes the way AI agents interact with third-party tools. Developers will soon have the ability to create their own AI agents and deploy them in their workspaces, improving efficiency in both daily engineering tasks and broader operations. One standout addition is Postman Insights, which provides real-time tracking for API usage, failure patterns, and proactive debugging. The Repo Mode feature further simplifies testing, allowing developers to reproduce API failures for easier troubleshooting. Meanwhile, integration with the Model Context Protocol enables APIs to function as callable agent tools, generate MCP servers, and connect with Postman’s newly launched MCP server network. The company is also introducing workflow integrations designed to accelerate API delivery and shorten development cycles. The integration with GitHub enables real-time collection synchronization and branch-based governance, while Jira supports context-aware issue tracking. Postman is strengthening collaboration among developer teams by linking its platform with Slack and Microsoft Teams.
ChatGPT gains the ability to record and transcribe meetings, and new connectors are enabling it to search for information across some of their most commonly used cloud services
ChatGPT is getting a host of new capabilities for business users, including connectors for cloud services such as Box, Dropbox, Google Drive, OneDrive and SharePoint. In addition, OpenAI also announced that its chatbot is getting the ability to record business meetings and support for Model Context Protocol connections, enabling ChatGPT to use external tools to aid in deep research. OpenAI said it’s focused on making ChatGPT even better for office workers rather than devs, with the new connectors enabling it to search for information across some of their most commonly used cloud services. OpenAI said the connectors will follow the organization’s policies around access control to ensure that users can only gather insights or get answers from documents and files they’re allowed to open. A second update sees ChatGPT gain the ability to record and transcribe meetings, the company said. It explained that the chatbot will be able to generate notes about the meeting, with time-stamped citations, so users can check to see exactly what was said. It will also be able to suggest actions based on whatever was discussed during the meeting, as it can understand exactly what was said. It will work in tandem with the new connectors, too. Users could query their meeting notes, and ChatGPT would be able to look up any relevant information held in Box or another service to provide more insights. Users will also be able to convert action items into a Canvas document, which is OpenAI’s tool for coding and writing projects. The final update refers to new connectors that are meant to enhance ChatGPT’s deep research capabilities. This is an agentic AI capability, because ChatGPT performs the research autonomously, without any input or guidance from the user beyond the initial prompt. The new connectors leverage the MCP protocol, which provides a standardized way for AI agents to use third-party tools. Previously, ChatGPT could only perform research using a web browser, but OpenAI said it can now use select tools from Google LLC and Microsoft Corp., as well as HubSpot and Linear, to aid in its research efforts.
Perplexity Labs debuts an AI coworker Labs that is different from its “Deep Research” feature in that it can use more tools to create project deliverables turning prompts into spreadsheets, dashboards and simple web apps
Perplexity has launched Perplexity Labs, a new AI tool that can turn prompts into spreadsheets, dashboards and simple web apps. The tool functions as a virtual team that performs 10 minutes or more of self-supervised work using tools like deep web browsing, code execution and chart and image creation. According to the AI startup, “Labs can accomplish in 10 minutes what would previously have taken days of work, tedious research, and coordination of many different skills.” Perplexity said Labs is different from its “Deep Research” feature in that it can use more tools to create project deliverables.
New Automated Underwriting System (AUS) purpose-built for the Non-QM lending market shifts underwriting decisions to the start of the loan lifecycle by using verified borrower data and aligning directly with investor-specific guidelines
Prudent AI has launched the industry’s first Upfront Automated Underwriting System (AUS) purpose-built for the Non-QM lending market. The new system shifts underwriting decisions to the start of the loan lifecycle by using verified borrower data and aligning directly with investor-specific guidelines, enabling lenders and brokers to scale confidently with fewer exceptions and greater certainty. Prudent AI’s Upfront AUS introduces a fundamental shift: moving critical underwriting logic upstream, where it can deliver the highest impact — enabling faster, cleaner, and more compliant decisions before loans enter underwriting queues. Purpose-Built for Modern Lending Prudent AI’s Upfront AUS: Uses verified income, credit, and asset data at submission; Applies investor-specific guidelines; Assess eligibility and conditions to clear; Offers a dual-phase review: upfront qualification and downstream consistency; Is built from the ground up to support the complexity and flexibility of Non-QM lending. Real Impact for TPOs and Lenders include: TPOs benefit from faster submissions, fewer conditions, and clearer investor alignment; Lenders gain efficiency, reduce rework, and expand underwriting capacity without adding headcount; Operational teams get cleaner data pipelines and scalable exception management.