RedTeam

$TAO SN | FOCUS #1 I want to take a moment to really focus on what I see as the most undervalued play in #Bittensor: #SN61 @_redteam_ by Innerworks. This has a tiny $4M MC right now, but the rails are real—miners crank out code for bot detection and fingerprint spoofing, feeding straight into Innerworks' SaaS. Big deal with @1inch already live, hardening DeFi against threats, and 10% of revenue funneled back into Alpha buybacks! Now if we stack it against centralized shops: 👉Forta (~$80M MC) spots threats in real-time but misses the miner-powered evolution. 👉Certik (~$150M) does static audits Heres what RedTeam's setup is doing better: miners simulate attacks, subnet patches defenses nails 92% efficacy on sneaky bots, outpacing them by decentralizing the R&D grind. My grounded conservative view on what will happen: Short-term (6-12 months): Emissions bump to 1% + those buybacks = easy 5-10x to $20-40M, like SN73 hitting $50M on growth vibes. Medium haul (1-3 years): Snag 1-2% of DeFi security pie ($100-200M rev equiv via emissions/SaaS) = 25-75x to $100-300M. #Bittensor #DeFiSecurity #tao #redteam theredteam.io

@bittensormax Let me share with the team - thanks

@_redteam_ SN61 backlog 5+ days on UID 182—any ETA?)

I went through all subnets w/ lower alpha price to find the most undervalued gem.. & this is it! @_redteam_ is literally Ridges but for cybersecurity! & they already have Pmf, SaaS & contracts (e.g @1inch) & recurring revenue w/ alpha buybacks I'm in! $TAO x.com/i/status/20220…

#Subnet #SN61 (@_redteam_ ) in #Bittensor $TAO 0) Executive summary #RedTeam (SN61) is positioned as a decentralized adversarial R&D engine for modern bot / automation / agentic-attack detection, with a commercial wrapper company Innerworks aiming to deploy that research into production security products. 1) What SN61 is 1.1 Mission and product thesis SN61/RedTeam frames itself around a new cybersecurity paradigm: AI agents geuensive iteration cycles. Innerworks positions its platform as “invisible intelligence” for device, bot, and geo-detection for fraud, compliance, and payment protection. (#Innerworks) A key macro tailwind for this narrative: automated/bot traffic and AI-driven automation is rising across the web ecosystem (and defenders increasingly need adaptive controls). (@WIRED ) 1.2 The Innerworks ↔ RedTeam relationship Innerworks: commercial entity selling/packaging the defense stack (device intelligence, bot detection, geolocation). RedTeam (SN61): decentralized R&D / adversarial engine meant to continuously discover new evasions and detection approaches, feeding improvements into production. The value bridge from Innerworks → SN61 token holders/miners is not inherently guaranteed by protocol. Any “value back to subnet” mechanisms must be evidenced either: + On-chain (observable buybacks/injections), or + Contractual (legal commitments), or + Governance-enforced (protocol-level rules). 2) Verifiable traction signals 2.1 Partnership: @1inch × Innerworks #1inch published an official post describing a partnership integrating Innerworks’ “Synthetic Threat Intelligence” approach, emphasizing ethical hacking + behavioral AI + decentralized learning to counter advanced fraud/bot attacks. This matters because it is: + a named counterparty, + in a high-adversary environment (#DeFi), + and is public enough to reference in institutional materials. 2.2 Company financing: Innerworks seed round Multiple outlets reported Innerworks raising a seed/pre-seed round (figures vary by outlet). EU-Startups reports €3.7M led by @AlbionVC with participation from several crypto/venture entities; @businesscloud reports £3M seed led by #AlbionVC. (EU-Startups) This is a positive signal for runway and go-to-market capacity. It is not direct proof that SN61 token value accrues to #investors; rather it’s a corporate health signal. 3) Technology and subnet operations 3.1 Shipping cadence / architecture Official RedTeam documentation shows ongoing releases at least through v4.1.0 (Feb 14, 2026) and earlier v4.0.0 notes, indicating an active engineering cycle and architectural iteration. (@github ) 3.2 Challenge framework (economic relevance) RedTeam’s approach resembles: + continuous adversarial challenge design, + miners submit detection/attack solutions, + validators score and reward via Bittensor’s consensus/emissions. Institutionally, the key question is: + does it generate defensible detection artifacts, + does it improve production outcomes (fraud loss reduction / bot mitigation), + and does it translate to paying deployments. 4) Fundamental thesis: what could make SN61 worth owning? 4.1 Why the problem is real Automation and AI-driven bot activity is intensifying across the internet (#scraping, #fraud, #DDoS, account farms, etc.). Defenders increasingly need adaptive systems that respond quickly. (#WIRED) 4.2 What’s differentiated (if it works) Differentiator claim: decentralized adversarial mining as a continuous red-team engine feeding a production defense stack. If SN61 can: + continuously generate novel evasions and robust detection techniques, + and if Innerworks can rapidly ship these into products customers pay for, then SN61 becomes an “economic flywheel”: + Threats → miner innovations → better product → more customers → more budget → more on-chain support. 5) Competitive landscape SN61/Innerworks sits in a crowded space spanning: + bot management / anti-automation, + device fingerprinting, + fraud detection / account takeover defenses, + and Web3 transaction/security tooling (adjacent). Institutional questions to ask the Team (diligence): + Detection performance: precision/recall vs incumbents under modern agentic browsing frameworks. + Integration friction: SDK lines-of-code, latency overhead, false positives. + Privacy & compliance: how “true geolocation” is obtained; consent posture; jurisdictional constraints. + Data moat: does decentralized mining generate unique datasets or just commoditize into public knowledge? 6) Key risks 6.1 Value accrual risk (core) SN61 alpha holders do not automatically receive Innerworks revenue. Unless Innerworks buybacks/injections are: + consistent, + material relative to protocol emissions, + and observable, 6.2 Verification risk on major enterprise traction The 100M+ DAU messaging platform claim is not yet independently verifiable in the captured public sources. 6.3 Security / adversarial contribution risk A red-team subnet must prove it can safely sandbox malicious submissions and prevent leakage into harmful real-world exploitation. Any compromise here would be existential reputational risk. 6.4 Regulatory risk Device intelligence + geolocation + fingerprinting sits in a sensitive compliance zone. Any misstep could constrain adoption or trigger enforcement, especially in strict jurisdictions. 7) Institutional diligence checklist (for the Team to deliver) A) Commercial proof (Innerworks) + Named customers + references + renewal behavior. + Pricing model, ARR/MRR ranges, churn, gross margin. + Case studies with before/after fraud metrics (auditable). + Security/compliance posture for fingerprinting & geolocation. B) On-chain value bridge (SN61) + Observable buybacks/injections on-chain (timestamps, tx hashes, schedule). + Clear policy: how much, how often, triggered by what milestones. + Governance: who controls subnet owner keys and any treasury actions. C) Technical defensibility + Reproducible evaluation of challenge quality (anti-overfitting). + Evidence that miner outputs are novel and generalize (not just “challenge gaming”). + Audit of sandboxing/isolation architecture. 8) Bottom line SN61 is one of the more compelling “real-world security” narratives inside Bittensor subnets because it ties the subnet concept to a concrete, adversarial, high-value problem: bot/fraud/automation defense in an AI-agent world. The 1inch partnership and Innerworks funding are tangible positives.

Last week we announced our buyback commitment. Today we've doubled it. We said the trajectory was acceleration, not a steady state. This is the first increase of many as we become the dominant force in cybersecurity.

Anti-detect browsers break most detection on the market. Spoofed fingerprints, masked automation, realistic hardware signals. To the average system, these bots look human. ADA v2 is live. Our latest challenge built to solve exactly this issue. blog.theredteam.io/latest/announc…

Turns out bot protection is an incentive mechanism also

Two different subnets, two different teams, even two different execution paths... but the same thinking on leveraging decentralized intelligence to protect critical infrastructure. This team on cybersecurity, us on financial crime. Rooting for you!

@flex4woo Innerworks.me is the team running the subnet and funnelling the miner outputs into improving cybersecurity models Through direct SaaS contracts we are accruing funds for token buy-backs

@_redteam_ Why do you have money for buyback? Can you provide more details?

@lmjs3256 Yes, of course. Current rate is set as a placeholder for transparency on the mechanism we're choosing to support the subnet. Expect weekly updates to the pricing!

@_redteam_ Could you provide a detailed buyback plan? At the current rate of 1 Tao per day, isn't that too little?

@USB_HI It has already started: taostats.io/account/5DRUbS…

@_redteam_ When does the repurchase period begin?

Two subnets on Bittensor are building the fundamental technologies that would allow us to build OSS non-ORB verifiable human detection: 1) human uniqueness and 2) deepfake detection. Together they will build us a social network. Without scam-Altman orbs.

@oli_innerworks @innerworksID And last but not least we wanna mention @_redteam_ 👀 Thanks for everyday improving internet security 💻

RedTeam #SN61, built on Bittensor, is actively protecting @1inch, the world’s leading DEX aggregator processing billions in swaps through Innerworks' predictive threat intelligence. Together, we’re turning live hacker simulation and AI-driven detection into a real-time defence network that evolves faster than synthetic attacks.

🚨 SN61 RedTeam update: ab_sniffer_v4 launches Oct 16, 2025 @ 10:00 UTC 🧩 New validator bot frameworks: botasaurus & pydoll expand the scope of automation detection. 🧠 Human-in-the-loop verification: some requests now route to real devices — your miner must detect and return “human” as the driver. 🧹 Plus: global ESLint rules now enforced for cleaner, consistent code. 🔗blog.theredteam.io/latest/blog/po… #Bittensor #RedTeam #SN61 #ab_sniffer_v4

@const_reborn and @_redteam_ discussing replacing @Cloudflare @ridges_ai is Batman #SN61 is Robin

What Subnet 61 (Redteam) do in Bittensor? $TAO @_redteam_ RedTeam (Subnet 61) turns cybersecurity research into a decentralized competition. It’s a platform where developers (called miners) solve real cybersecurity challenges like bot detection, anti-fingerprinting, or behavioral mimicry and get rewarded in TAO, Bittensor’s native token. Instead of running machine-learning models like many other subnets, RedTeam focuses on security testing and adversarial simulations. It uses a modular system of programming challenges that evolve over time to reflect current cybersecurity threats. 🔹How It Works ➡️ Challenges are posted Subnet owners or validators create cybersecurity problems e.g., “Detect or simulate human-like mouse movements.” ➡️ Developers (miners) submit encrypted solutions The code is protected until validation to prevent theft. ➡️ Validators run and score each solution They test it in a secure sandbox, measure how effective or novel it is, and assign a score. ➡️ Rewards in TAO The best solutions earn TAO from the subnet’s emission pool. ➡️ Continuous improvement New solutions must outperform older ones to earn more points, pushing constant innovation. All validated submissions contribute to an open-source library of simulated attacks that helps improve global detection systems. 🔸 Why It Matters ➡️ Drives innovation in cybersecurity turns hacker-style creativity into safer, defensive tools. ➡️ Provides ethical income for red-team experts security researchers can monetize skills safely and transparently. ➡️ Improves real-world detection systems outputs help companies identify weaknesses before attackers do. ➡️ Expands Bittensor’s use cases brings cybersecurity into the decentralized intelligence economy, showing Bittensor isn’t just for AI models but also for applied, competitive computing. 🔹In Short Subnet 61 (RedTeam) transforms ethical hacking into a decentralized marketplace for cybersecurity innovation rewarding contributors with TAO while strengthening global digital defenses.

@const_reborn 👀

Bittensor is easily >50% red team — it’s like a cyber-corporation where more than half the engineers are adversaries. No one would have expected that to work at all but, as it turns out, that’s what makes the thing clock faster.