Real-time, multimodal deepfake detection and watermarking for enterprise. Verify identity, meet AI compliance standards — via API or on-prem.
Mountain View, CA
Joined December 2018
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🌍 DETECT-World is live.
Our third generation of deepfake detection and the first built on world model architecture.
Benchmarked across 250+ generative models:
• 99.5% audio
• 95.8% image
• 98.2% video
Now powering Resemble Detect via streaming + batch API. 👉 app.resemble.ai/hub/agents
Resemble AI retweeted
“Camera on” is becoming a weaker proof of identity.
Companies like Tavus are making lifelike AI participants possible: faces, voices and conversations that respond in real time. Incredible possibilities, but also growing the need to know who you are "actually" talking to.
Resemble AI documented 821 verified deepfake attacks and 15,736 victims in H1 2026 alone. This is why @resembleai + Microsoft Teams integration is so epic: flag suspected impersonators right where they’re likely to show up. In your interviews, executive calls and vendor meetings. Detect suspicious AI-generated audio and video live, without requiring an extra bot in the call. Seamlessly embedded in a product experience that you already heavily use.
resemble.ai/integrations-and…
Resemble AI retweeted
@GoogleStartups x @GoogleDeepMind SFTECHWEEK event is next level vibes!!
Thanks everyone for coming out for a full house talking research to reality, awesome panel with @o_lacombe, @liu8in - @HeyGen and @zohaibahmed - @resembleai
Plus 5 amazing Gemini startup demos from @krea_ai, @raindrop_ai @benhylak, @mathgpt_app @ZeroCater
Tomorrow our Head of JevRel, @0xDevShah , will be speaking at @FeatherlessAI and @Tiny_Fish's Hack and Demo night. He'll be showing how we do agent detection, kind of a must have when everyone is using agents.
Super hot topic x smart speakers = amazing event. See you there > luma.com/7x4tywqh
Resemble AI retweeted
My conversation with Bradley Olson of @Axios, @ZohaibAhmed of @ResembleAI, and @NoelleRussell_ on AI agent safety at @ImaginationXYZ @Google is out. youtube.com/watch?v=ILoZztru…
Resemble AI retweeted
The line between a bad joke and a geopolitical crisis is razor thin. And causing one could cost under $200.
Investigative journalists @christogrozev and @tashurkevich proved it when they hired a freelancer on a Russian gig marketplace to create a video of them with a NATO general, chatting on a yacht.
The general is fake - not just synthetic - but actually nonexistent. The freelancer who agreed to produce the video never asked why they wanted it. The video took an hour and cost roughly $80. Someone placed it for another $80, and six Russian news sites ran it as news within an hour.
Influence operations used to require intel or power or serious capital. Now anyone with a credit card and free time can put hyperrealistic fakes in front of millions.
The US midterms are five weeks out. This is a dangerous period where synthetic media can do a ton of damage, because a clip only needs to catch the algorithm right once and it can rack up millions of views in days. Corrections almost never reach the same audience.
Verifying political video and audio before sharing it takes seconds. It should be a habit for anyone voting in an upcoming election, and our free Chrome extension lets you check media directly in your feed.
Watch the investigation here > youtube.com/watch?v=62hWVaNz…
Resemble AI retweeted
Today, we're extending the Agent Detection-1 family of foundational models to secure your Voice agents. Your voice agent can now tell whether it's talking to a real person or another AI.
Voice agents are already on the phone. They book appointments, confirm reservations, and handle support calls, and more and more often, the one picking up is also a voice agent.
When two voice agents meet, neither knows it's talking to an AI. So they keep talking for hours, sometimes days, and every minute burns speech-to-text, text-to-speech, and LLM spend.
We want your voice agent to know who's on the line, so it can adapt the moment the call connects.
Agent Detection-1 Voice tells you who's calling the moment they speak:
> Real person or AI, with 99% accuracy
> So your agent can simply ask, skip the small talk, finish the job, and hang up
> real people still get the full conversation
> every call gets logged on your Resemble dashboard
You can integrate our models across your Voice agent stack, including @livekit and @pipecat_ai!!
One model family, for your web platform and your phone lines. My DMs are open for more details!
Resemble AI retweeted
more than 50% of your web traffic is just AI agents. if you block them all, you’re literally losing real human customers behind these agents. so don't block them all, identify them and then decide which ones to block and which ones to send to an MCP!!
dms open. I'll help you set up Agent Detection in mixpanel, posthog, amplitude, datadog, or whatever analytics stack you're using.
🤖 Made with AI
Today, we are launching Agent Detection-1, the first system-one model built to classify visitors on your web platform.
Agents are already on your web platform. Muse, Instinct, Claude Code, Codex, and thousands more are booking, buying, and filling out forms. Behind each agent could be a real customer.
Cloudflare, Akamai, and other bot tools are built to block agents. Analytics like Amplitude, Datadog, and Google Analytics can't tell them apart from people.
We want to detect agents, figure out which ones are useful, and redirect them to where they can actually get things done.
Agent Detection-1 tells you who's at the door, the moment they arrive:
> Person or agent, and which agent
> Send useful agents to your MCP server, llms.txt, or agent card
> Stop the bad ones, like scrapers and credential stuffers
> Every visit gets logged on your Resemble dashboard
Just add a one-line script and find out who's visiting your website. Starting at just $1 per 1,000 visitors.
Resemble AI retweeted
Remember when every website rushed to get mobile friendly so they wouldn't lose half their users? Well, now it's about making your website agent friendly!
Personal agents are out there browsing, buying, and getting stuff done for real people. If you just block them all, you're losing a chunk of your revenue. Instead, identify the helpful agents and give them an agent-friendly surface to do their thing.
Today, we are launching Agent Detection-1, the first system-one model built to classify visitors on your web platform.
Agents are already on your web platform. Muse, Instinct, Claude Code, Codex, and thousands more are booking, buying, and filling out forms. Behind each agent could be a real customer.
Cloudflare, Akamai, and other bot tools are built to block agents. Analytics like Amplitude, Datadog, and Google Analytics can't tell them apart from people.
We want to detect agents, figure out which ones are useful, and redirect them to where they can actually get things done.
Agent Detection-1 tells you who's at the door, the moment they arrive:
> Person or agent, and which agent
> Send useful agents to your MCP server, llms.txt, or agent card
> Stop the bad ones, like scrapers and credential stuffers
> Every visit gets logged on your Resemble dashboard
Just add a one-line script and find out who's visiting your website. Starting at just $1 per 1,000 visitors.
Resemble AI retweeted
More than half of customer traffic is literally just agent swarms now. goal is not to block them. If you can identify them and route the personal assistant agents to agent-friendly interfaces like MCP and llms.txt, or where they can transact safely, and only prune the malicious traffic.
Today, we are launching Agent Detection-1, the first system-one model built to classify visitors on your web platform.
Agents are already on your web platform. Muse, Instinct, Claude Code, Codex, and thousands more are booking, buying, and filling out forms. Behind each agent could be a real customer.
Cloudflare, Akamai, and other bot tools are built to block agents. Analytics like Amplitude, Datadog, and Google Analytics can't tell them apart from people.
We want to detect agents, figure out which ones are useful, and redirect them to where they can actually get things done.
Agent Detection-1 tells you who's at the door, the moment they arrive:
> Person or agent, and which agent
> Send useful agents to your MCP server, llms.txt, or agent card
> Stop the bad ones, like scrapers and credential stuffers
> Every visit gets logged on your Resemble dashboard
Just add a one-line script and find out who's visiting your website. Starting at just $1 per 1,000 visitors.
Resemble AI retweeted
dude this is so cool. imo the future of the internet is every website split into two: one serves the human and another serves the agent
Today, we are launching Agent Detection-1, the first system-one model built to classify visitors on your web platform.
Agents are already on your web platform. Muse, Instinct, Claude Code, Codex, and thousands more are booking, buying, and filling out forms. Behind each agent could be a real customer.
Cloudflare, Akamai, and other bot tools are built to block agents. Analytics like Amplitude, Datadog, and Google Analytics can't tell them apart from people.
We want to detect agents, figure out which ones are useful, and redirect them to where they can actually get things done.
Agent Detection-1 tells you who's at the door, the moment they arrive:
> Person or agent, and which agent
> Send useful agents to your MCP server, llms.txt, or agent card
> Stop the bad ones, like scrapers and credential stuffers
> Every visit gets logged on your Resemble dashboard
Just add a one-line script and find out who's visiting your website. Starting at just $1 per 1,000 visitors.
Resemble AI retweeted
Today, we are launching Agent Detection-1, the first system-one model built to classify visitors on your web platform.
Agents are already on your web platform. Muse, Instinct, Claude Code, Codex, and thousands more are booking, buying, and filling out forms. Behind each agent could be a real customer.
Cloudflare, Akamai, and other bot tools are built to block agents. Analytics like Amplitude, Datadog, and Google Analytics can't tell them apart from people.
We want to detect agents, figure out which ones are useful, and redirect them to where they can actually get things done.
Agent Detection-1 tells you who's at the door, the moment they arrive:
> Person or agent, and which agent
> Send useful agents to your MCP server, llms.txt, or agent card
> Stop the bad ones, like scrapers and credential stuffers
> Every visit gets logged on your Resemble dashboard
Just add a one-line script and find out who's visiting your website. Starting at just $1 per 1,000 visitors.
Resemble AI retweeted
Introducing our AI Agent Detection model, the first System One model built for Agentic Detection! 🎉
Meta's Muse is beating ChatGPT's early adoption: 1.8 million downloads in its first 12 days across the US and Canada, vs 1.3 million for ChatGPT.
Everyone has figured out what an LLM is and how to use it. The next productivity jump is letting one act on your behalf, starting with booking travel, buying groceries, and filling out the forms you don't want to spend time on. Amazon has already blocked Muse from shopping on its platform, can’t blame em.
Resemble AI retweeted
How do you detect an AI-generated voice on a live call?
We wrote the answer with the @resembleai team.
Post-call review is too late.
By the time anyone listens to the recording, the credentials are already gone.
Detection has to happen while the call is still live.
The article covers how detection works in production, from in-call streaming to post-call audit, and what a real phone call does to accuracy.
Resemble tested this across real PSTN codecs, and published the numbers as they came out.
3 of 5 codecs hit 100% accuracy on both real and synthetic audio.
G.728 and iLBC, the two most compressed, didn't.
Read more about it here: telnyx.com/resources/detect-…
Resemble AI retweeted
Still buzzing from Summer Signal '26.
200+ of you packed into the Exploratorium with us for The Modern Renaissance, and honestly it was the most fun we've had all year.
We got to show what we've been building: Inference, MCP, AgentBox, and then the best part: watching @llama_index , @inworld , @MiniMax_AI , @runwayml , @reactorworld , @UtopaiStudios , @LumaLabsAI , and @resembleai AI take the stage and demo live.
The love from our partners and everyone in that room was unreal. Thank you all!
See you at the next Signal. ⚡
Resemble AI retweeted
Voice AI is getting better at sounding real. Which means detecting what’s fake is getting harder.
My latest AI Chronicles episode with @zohaibahmed , CEO of @resembleai, gets into deepfake detection, watermarking, replay attacks, and where voice security research is headed.
Episode 2 of Season 1: AI Research 🎙️
Listen: open.spotify.com/episode/4Ee…
Watch: youtu.be/GQ3Vfr_PsfI
Resemble AI retweeted
.@resembleai joins Summer Signal '26 as our multimodal detection partner.
They build both sides of synthetic speech, cloning and TTS, plus watermarking and multimodal detection.
On stage, they'll get into what it takes to detect generator across audio, image, and video.
Register to attend 👇
Resemble AI retweeted
H3 max from @MiniMax_AI on @fal is rendering 5 second clips in under 3 seconds, which means infinite Gen AI videos are here.
Get ready for more hyper-realistic AI video models and a flood of AI video content on your screens.
Realtime generation requires realtime detection & moderation. See how resemble's AI detection model works in realtime below on the twitch stream.