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By TrusteerPaidUser RatingUsed Trusteer Pinpoint Malware Detection for Windows? Share your experience and help other users.Key Details of Trusteer Pinpoint Malware DetectionDetects malware infected devices and determines both the nature of the threat and the risk it represents.Last updated on February 29, 2024There have been 5 updatesVirus scan status:Clean (it’s extremely likely that this software program is clean)Clicking on the Download Now (Visit Site) button above will open a connection to a third-party site. Download.com cannot completely ensure the security of the software hosted on third-party sites.Developer’s DescriptionDetects malware infected devices and determines both the nature of the threat and the risk it represents.Trusteer Pinpoint Malware Detection accurately detects malware infected devices and determines both the nature of the threat and the risk it represents to the organization. Organizations receive alerts about malware infected devices accessing their web sites and can quickly take action to prevent potential fraud. Malware compromised credential information is fed to Trusteer Pinpoint ATO Detection to conclusively identify criminal access. Trusteer Pinpoint is completely transparent to end users and does not require any installation of software on the endpoint.Key CapabilitiesDetects Malware Infected DevicesAccurately Determines Fraud Risk LevelsAlerts Fraud Team of High Risk DevicesEnables Malware Removal via Trusteer RapportFeeds Account Risk Information to Trusteer Pinpoint ATO Detection and Risk EnginesDetects Evolving Threats and New Attack VectorsExplore MoreDigital Persona ProTrial versionKDT Web History TrackerTrial versionHacker FreezeTrial versionSerial Port Monitoring ControlTrial versionMNS Spyware Remover & History EraserTrial versionGFI WebMonitorTrial versionSecure Oracle AuditorTrial versionAnti-Virus Center for Windows 10Free

Accelerate the process of finding evidence and crafting data-driven stories.One of the earliest and most impactful journalism projects to leverage Pinpoint was the Washington Post‘s Afghanistan Papers investigation. This massive endeavor, which involved mining over 2,000 pages of interview records and memos, relied on Pinpoint to dig through and corroborate over a decade‘s worth of archived audio and video recordings.By uploading this trove of footage into Pinpoint, Post reporters were able to search for names of key government and military officials, as well as terms like "corruption", "nation building", and "opium". Pinpoint enabled them to rapidly hone in on the most revealing and newsworthy clips to build a damning case of how the U.S. government misled the public about the war in Afghanistan across three administrations. As the lead reporter Craig Whitlock explained:"Pinpoint was a game-changer for us. There‘s no way we could have manually combed through almost 20 years of raw interview recordings in time for the story. But with Pinpoint‘s transcript search and clipmaking tools, we found pivotal moments in a matter of days and could weave them into a powerful narrative."Another early pioneer of Pinpoint was the fact-checking website PolitiFact. Their reporters used Pinpoint to verify claims made by politicians in speeches, debates, and TV appearances. By quickly searching for keywords and pulling the relevant clips, the PolitiFact team was able to determine if statements were factual or not, and provide full video receipts. Pinpoint became a vital tool for holding politicians accountable and informing voters.Beyond journalism, researchers and academics are finding novel applications for Pinpoint to study media trends and gather empirical insights from audio/video data at scale. For example, Stanford‘s Internet Observatory used Pinpoint to examine how 2020 election misinformation narratives spread through TV and online video content. By processing thousands of hours of footage and searching for specific keywords and phrases, they were able to quantify the reach of false claims and track their spread over time.As more journalists and researchers adopt AI-powered tools like Pinpoint, it‘s exciting to imagine the new forms of rigorous, data-driven reporting and analysis this could unlock. By making multimedia content more accessible and useful, Pinpoint helps storytellers and investigators harness audiovisual information in powerful ways.The Future of AI-Assisted StorytellingLooking ahead, it‘s clear that Pinpoint is just the tip of the iceberg for how artificial intelligence will transform the way we interact with and extract insights from video and audio.Google is actively exploring ways to expand the capabilities of Pinpoint and push the boundaries of machine-generated transcripts, indexing, and content analysis. This includes improving accuracy for more languages and accents, better handling of specific content domains (like earnings calls or courtroom footage), and extracting more semantic data (like individual speaker identification or scene descriptions for videos). There‘s also massive potential to open up Pinpoint‘s underlying speech and language AI models to more developers and use cases over time. While currently access to Pinpoint is invite-only for journalists and select researchers, Google could eventually release APIs and paid SaaS products

Google Pinpoint is a cutting-edge artificial intelligence tool that empowers journalists, researchers, and others to rapidly search and analyze large archives of audio and video content. Released in 2019 as part of the Google News Initiative, Pinpoint uses advanced machine learning and speech recognition to automatically transcribe and index the contents of multimedia files, making it dramatically easier to find relevant clips and moments.How Pinpoint Works: Under the HoodAt a high level, Pinpoint solves the fundamental challenge of making unstructured audio and video data more structured and searchable, similar to text documents. While a text-based article or web page can be easily indexed and searched for any keyword, it‘s much harder to find a specific word or phrase within an audio recording or video file. Pinpoint bridges this gap by using AI to convert speech to text, then applying natural language processing (NLP) to analyze and index the transcript.When a user uploads an audio or video file to Pinpoint, the system first applies a series of pre-processing techniques to enhance the audio quality and isolate the speech content. This includes separating music, background noise, and other non-speech sounds using Google‘s AudioSet dataset and models. Next, the cleaned audio is run through Google‘s state-of-the-art speech recognition deep learning models to generate a text transcript. These AI models are trained on thousands of hours of diverse speech data and can accurately transcribe over 125 languages and dialects. Google is constantly iterating on these models to push the boundaries of transcription performance – Pinpoint leverages the same technology that powers Google Assistant, Voice Search, and other marquee speech products.Pinpoint‘s speech-to-text engine can handle extremely challenging audio with ease. It can recognize speech from multiple speakers (even with heavy overlapping), strong accents and background noise, and domain-specific terminology. In a 2022 benchmark test, Pinpoint achieved an average word error rate (WER) of just 4.9% across a variety of media types – meaning just 1 in 20 words are incorrectly transcribed. This accuracy rivals and in some cases exceeds human-level performance.Once a transcript is generated, Pinpoint uses additional machine learning models to derive semantic insights and structure from the raw text. This includes:Speaker diarization (labeling who spoke when)Punctuation and capitalization Entity recognition (identifying mentions of people, places, organizations)Topic classification and keyword extractionSentiment analysisMany of these AI-powered "enrichments" are enabled by Google‘s Knowledge Graph – a massive database of real-world entities and facts. By connecting the contents of audio/video to the Knowledge Graph, Pinpoint can identify that a certain quote was said by a certain person, or that a clip is discussing a certain news event. This allows journalists to find highly relevant clips that mention specific newsmakers, companies, or topics they are investigating.Pinpointing the Facts: Real-World ImpactSince launching in 2019, Pinpoint has quickly become an invaluable tool for audio/video-based reporting and research. The platform makes it possible to search through thousands of hours of footage and find key moments in minutes. For investigative journalists and documentarians working with large volumes of media, Pinpoint can dramatically

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