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Diopter detects AI social engineering in real time on every video and voice call, stopping wire fraud, fake candidates, and help desk takeovers.

SourceTree
SmartGit
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GitHub Desktop
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TortoiseGit is an easy to use client for the Git distributed revision control system.

Which is more popular?
Based on our record, TortoiseGit seems to be more popular. It has been mentioned 32 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | diopter.ai | tortoisegit.org |
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| Company | Startup from the United States · 10 - 19 employees · 2026 | — |
| Listed in |
In their own words, as submitted to SaaSHub.


Diopter detects AI deepfakes and social engineering on live video and voice calls. What it does Diopter scores every participant on a call continuously, not only at the start, and turns four signals into one recommended action: Video deepfake detection: synthetic and manipulated video, scored per...
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What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


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As answered by people managing Diopter and TortoiseGit.
Diopter's answer
Diopter scores the live call, not a file after the fact. Most detection tools ask you to upload media and wait for a verdict. Diopter runs alongside a Zoom, Microsoft Teams, Google Meet or Webex call and scores every participant continuously for the full length of the call, including someone who is not speaking.
It also combines four signals rather than one. Video deepfake detection, audio deepfake detection, identity and payment verification, and policy alignment resolve into a single recommended action, so a security or finance team gets one decision rather than four dashboards.
The verdicts are deliberately honest. Bands are AI, mixed, clean and inconclusive, each with a confidence level rather than a flat yes or no. If a call could not be fully checked, Diopter reports that rather than defaulting to clean. It does not identify who is speaking, uses no voiceprints or enrollment, and never treats accent, region or language as a signal.
Diopter's answer
Because the attack happens on the call, and that is where Diopter works.
Identity verification tools check a person once, usually at onboarding or account recovery. That does nothing for a wire approval call three months later where the person on screen is a deepfake. Single-frame or file-based detectors judge a moment of media rather than the conversation shaping the ask.
Diopter runs for the whole call and scores every participant continuously, on Zoom, Microsoft Teams, Google Meet and Webex, and on VoIP and conference phone calls through Zoom Phone, Teams Phone, RingCentral and Dialpad. It combines synthetic media detection with identity and payment verification and policy alignment, then returns one recommended action.
It is also straightforward to deploy and clear about its limits. No caller-side install, works with a meeting bot or bot-free, on-prem and hybrid supported, configurable retention including zero data retention, and rollout through existing MDM such as Intune and Jamf. SOC 2 Type II in progress.
Diopter's answer
Security and fraud teams at organisations where a phone or video call can move money, grant access or hire someone.
The people who buy and run it are CISOs and security operations, fraud operations, and IT. The people it protects usually sit elsewhere in the business: finance and treasury staff approving wires, accounts payable teams handling vendor payment changes, recruiters and hiring managers interviewing candidates, executive assistants fielding urgent requests, and IT help desk agents resetting credentials.
The common thread is a live conversation where someone is asking for something consequential and the only proof of who they are is their face or their voice.
Diopter's answer
Diopter was founded in April 2026 by Rohan Gupta and Jeremy Pippin, after they watched generative AI move from productivity use cases into impersonation, fraud and social engineering.
Both came from QuillBot, where Rohan was founder and CEO of a generative AI company with more than 35 million monthly users, and Jeremy was VP of Product, having previously held the same role at FanDuel. They had spent years on the building side of generative AI and could see how cheap and scalable the attack had become while defence stayed expensive and manual.
The belief that shaped the product is that fraud is rarely detectable from a single frame or voice sample. It unfolds across a conversation, so the arc is the unit of analysis: authority, urgency, isolation, escalation and the ask, scored continuously through a live call.
The company is based in Chicago, Illinois.
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There are tools such as TortoiseGitMerge that help resolve conflicts and lets you see the changes you made to your files. It has a spell checker to log messages and auto-completion for keywords and paths. It’s also...
You are free to use TortoiseGit with any development programs that you prefer since it is not an IDE-specific integration for Eclipse, Visual Studio, and so on. It is perfect for large-scale DevOps projects since you...
Recommendations tracked on public social media and blogs since March 2021.


Tracking Diopter since Sep 2026.
Sadly TortoiseGit[1] is only available for Windows :( git-cola[2] is a decent stand-in for TG's commit review window though. [1]: https://tortoisegit.org/ [2]: https://git-cola.github.io/. - Source: Hacker News / almost 3 years ago
TortoiseGit Sourcetree Git kraken Some times you need to compare to files you can do this with the notpad++ compare plugin or with Meld. Source: over 3 years ago
Instead on my PC I use TortoiseGit. Most useful for the git log (as a graph), diff with previous versions,, filter files to commit by directory and ability to exclude files from the current commit, and most of all; ease of splitting a... Source: over 3 years ago
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