Digital conversation no longer lives in text alone. More and more fraud campaigns, impersonation attempts and reputational risks move through video, and that reality demands a different way to monitor social media. That is why we have expanded Guard with Video Entity Intelligence, a module focused on turning audio, on-screen text and visual signals into actionable intelligence.
What changes with this evolution
Guard takes social media monitoring a step further by adding Video Entity Intelligence, designed to detect relevant content inside short videos. The goal is not only to expand coverage, but to improve the real ability to find useful signals without increasing operational noise.
New commercial capabilities in Guard
- High-accuracy audio transcription to identify mentions, narratives and relevant messages inside the video.
- Intelligent on-screen text extraction to capture brands, domains, accounts, products and other visible indicators.
- AI-based contextual classification to separate useful matches from irrelevant content and reduce false positives.
- More efficient filtering of duplicates, deleted videos and private accounts to keep analysts focused on actionable findings.
Why it matters for modern monitoring
Many threats are no longer explained in text or a profile bio. They appear in audio, visual overlays, calls to action inside the video or combinations of elements that only make sense when analyzed together. This evolution allows Guard to understand that context better and turn it into a useful signal for prioritization, review and response.
Which teams benefit most
This update is especially designed for teams that need early visibility into fraud campaigns, brand abuse, digital impersonation and disinformation operations on social media. It provides a more scalable way to detect relevant content even when the signal is not written, but lives in the audio or visual elements of the video.