Perturb AI

Decentralized adversarial robustness network

[Perturb AI @perturbaix]

🚀 Introducing the Perturb AI Safety Score.

Your AI model might be accurate. But is it secure?

Perturb (SN26) tests your model against adversarial attacks to expose hidden weaknesses.

🛡️ Robustness Score
⚡ Adversarial Testing
📊 Actionable Reports
Starting at $99/scan.
🌐 https://t.co/ovuK7KQFqX

[Perturb AI @perturbaix]

From decentralized AI research to real-world revenue.

Perturb SN26's commercial roadmap:

💰 $99 AI robustness scans
🛡️ Pro adversarial fine-tuning
⚡ Enterprise CI/CD testing
📊 Paid adversarial datasets
AI security as a service, powered by Bittensor.
https://t.co/0n7qaLkORc

[Perturb AI @perturbaix]

Most AI security systems only find weaknesses.

Perturb SN26 rewards miners for BOTH:

⚔️ Breaking AI models (80%)
🛡️ Training models to resist attacks (20%)
Attack. Defend. Verify. Improve.

One decentralized network competing to build more robust AI.

#Bittensor #SN26

[Perturb AI @perturbaix]

🚀 Introducing the Perturb AI Safety Score.

Your AI model might be accurate. But is it secure?

Perturb (SN26) tests your model against adversarial attacks to expose hidden weaknesses.

🛡️ Robustness Score
⚡ Adversarial Testing
📊 Actionable Reports
Starting at $99/scan.
🌐 https://t.co/ovuK7KQFqX

[Perturb AI @perturbaix]

🤝 Partnership Announcement

We're excited to announce that @perturbaix × @Bitcast_network are joining forces!

Bringing together AI security, decentralized intelligence, and the power of the Bittensor ecosystem.

Building stronger AI. Growing the ecosystem.

Fight AI with AI. 🛡️

#Bittensor #SN26

[Perturb AI @perturbaix]

🚨 AI security is facing a much bigger problem than a single breach.

As AI agents become more autonomous, traditional security defenses are no longer enough.

At Perturb, we're tackling this challenge head-on through decentralized adversarial testing, continuous red teaming, and AI robustness research.

Our latest thought leadership piece on @hackernoon explores why the future of AI security must be proactive, not reactive.

🔗 https://t.co/pwdX7E2bi7

Thanks to @heraldmedia69 for helping amplify this important conversation.

#AISecurity #AdversarialAI #Bittensor #Perturb

[Perturb AI @perturbaix]

Fight AI with AI

[Perturb AI @perturbaix]

🚨 AI security is facing a much bigger problem than a single breach.

As AI agents become more autonomous, traditional security defenses are no longer enough.

At Perturb, we're tackling this challenge head-on through decentralized adversarial testing, continuous red teaming, and AI robustness research.

Our latest thought leadership piece on @hackernoon explores why the future of AI security must be proactive, not reactive.

🔗 https://t.co/pwdX7E2bi7

Thanks to @heraldmedia69 for helping amplify this important conversation.

#AISecurity #AdversarialAI #Bittensor #Perturb

[Perturb AI @perturbaix]

🚀 Perturb SN26: Our Path to Revenue

We're moving from AI security research to real-world monetization.

🛡️ AI Safety Score — Measure how resilient your AI models are against adversarial attacks.

⚡ CI/CD Full Scan — Automated adversarial testing before models reach production.

💰 100% of product revenue will go toward SN26 alpha buybacks.

Real customers. Real utility. Sustainable token demand.

Fight AI with AI.

🌐 https://t.co/ovuK7KQFqX

#Bittensor #SN26 #AISecurity

[Perturb AI @perturbaix]

Perturb Explainer Video Contest!

🎬 Think you can explain Perturb better than we can? Prove it.

We're challenging creators to make a 90-second video showing how Perturb fights AI attacks with AI.

🏆 1st Prize: 5τ worth of SN26 alpha
🥈 Runner-up: 2τ worth of SN26 alpha
🎨 15 creative angles. Any tools. Your vision.

Post your video, tag @perturbaix and use #PerturbVideo.

🌐 https://t.co/ovuK7KQFqX

Fight AI with AI.

[Master Zeks👑 @M_zekks]

@boye_eth @perturbaix Explained it so well chief

[ghøst @decenterghost]

Angle 1: The Taped Sign

A tiny piece of tape

A very different reading

In 2020, McAfee showed that tape could make an older vision system read 35 mph as 85 mph

For automakers, a misread sign can become a safety and liability risk. @perturbaix helps find these weaknesses before deployment

On Bittensor Subnet 26, miners compete to find tiny changes that fool AI models
Validators check that each attack works and remains imperceptible. Copies earn nothing

Customers get robustness scores, vulnerability heatmaps, and verified data for retraining

Image-model testing is live

Text, LLM, and multimodal attacks are still on the roadmap.

Find weaknesses before attackers do

#PerturbVideo

[Pandera @Dsgnrayo]

@boye_eth @perturbaix Top tier content broddy

[Perturb AI @perturbaix]

love it!

[hammertime @hammertime_one]

This is actually genius. A robot gets fooled by a tiny change, and people on Bittensor get paid to find that weakness before someone else does.

imagine a self-driving car looking at a stop sign, a few pieces of tape can make a vision model misread it - Angle 9 #PerturbVideo

the road hasn't changed and a human still reads the sign fine, but the AI can get it wrong

that's the problem Perturb is trying to solve, it's a decentralized adversarial robustness network on Bittensor Subnet 26, where miners compete to find the smallest changes that fool image models

miners find attacks, validators check that the model's answer really changes and that the edit is hard to notice, the best verified attacks earn TAO

copies and invalid results earn nothing

companies get a robustness score, a vulnerability heatmap, and verified attack data to retrain on

i like the incentive design, instead of asking a company to imagine every way its AI could fail, Perturb pays people to find the failures first

image-model testing is live today, testing text models and LLMs is still on the roadmap

fight AI with AI

@perturbaix - Bittensor Subnet 26

https://t.co/8oBBwKrryg

[hammertime @hammertime_one]

This is actually genius. A robot gets fooled by a tiny change, and people on Bittensor get paid to find that weakness before someone else does.

imagine a self-driving car looking at a stop sign, a few pieces of tape can make a vision model misread it - Angle 9 #PerturbVideo

the road hasn't changed and a human still reads the sign fine, but the AI can get it wrong

that's the problem Perturb is trying to solve, it's a decentralized adversarial robustness network on Bittensor Subnet 26, where miners compete to find the smallest changes that fool image models

miners find attacks, validators check that the model's answer really changes and that the edit is hard to notice, the best verified attacks earn TAO

copies and invalid results earn nothing

companies get a robustness score, a vulnerability heatmap, and verified attack data to retrain on

i like the incentive design, instead of asking a company to imagine every way its AI could fail, Perturb pays people to find the failures first

image-model testing is live today, testing text models and LLMs is still on the roadmap

fight AI with AI

@perturbaix - Bittensor Subnet 26

https://t.co/8oBBwKrryg

[Perturb AI @perturbaix]

Check this out

[Boye @boye_eth]

Artificial intelligence needs to be tested by its toughest opponents before it can be trusted in the real world.

in this video, I explained everything you need to know about @perturbaix.

a decentralized adversarial robustness network ( future where ai systems are tested against adversarial threats before those threats become real problems )

#PerturbVideoCompetition

watch 🚨

[Boye @boye_eth]

Artificial intelligence needs to be tested by its toughest opponents before it can be trusted in the real world.

in this video, I explained everything you need to know about @perturbaix.

a decentralized adversarial robustness network ( future where ai systems are tested against adversarial threats before those threats become real problems )

#PerturbVideoCompetition

watch 🚨

[Perturb AI @perturbaix]

🚨 Perturb AI Basic Plan Beta is almost here!

We're targeting a rollout next week.

Soon, you'll be able to start exploring adversarial robustness testing with Perturb AI.

Stay tuned. 🔬

🔗 https://t.co/XHaIM98PwD

#PerturbAI #AISecurity #Bittensor

[Perturb AI @perturbaix]

📄 Our updated Perturb AI whitepaper is live!

Dive into our vision for decentralized adversarial testing, AI robustness, and a more secure AI ecosystem.

The future of AI security starts with testing its limits.

🔗 https://t.co/XHaIM98PwD

#PerturbAI #Bittensor #AdversarialAI

[Perturb AI @perturbaix]

🚀 AI security should be accessible to everyone.

Perturb AI is introducing new pricing plans to make adversarial AI testing easier to access.

Explore what's coming 👇
https://t.co/TxdgDttQmO
#PerturbAI #AISecurity #Bittensor

[i.compounding (τ)(𝓠)(🔺) @i_compounding]

PerturbAI is a decentralized adversarial robustness network built on @bittensor SN26. @perturbaix fights AI with AI by discovering hidden vulnerabilities before attackers exploit them. In the PertubAI ecosystem, miners compete to find the smallest input changes that make models confidently WRONG, while validators verify that these adjustments remain imperceptible. The $TAO decentralized mechanism provides customers with critical assets such as robustness scores, vulnerability heatmaps, verified attack data for retraining, and on-chain certificates of testing; and its all constantly being hardened and improved and is also decentralized.

Image-model testing is live today, future updates on the roadmap will introduce text, LLM, and multimodal attacks to target key verticals like crypto and banking KYC, insurance claims fraud teams, and identity-verification vendors and more. Creators can explore various angles; from the real-world impact of small physical sign modifications and synthetic selfies to automated bounty hunting and decentralized network incentives for the Perturb Explainer Video Contest.

To participate, share an original video up to 90 seconds on X, tag @perturbaix, and include #PerturbVideo alongside your chosen angle.

#TAO #bittensor #crypto #AI