Bitsec beats Mythos at finding exploits, and keeps finding ones nobody else does.
Test Phase results are in:
→ ~70% conversion
→ $1k - $5k/mo subscriptions
→ 1000+ addressable blockchain startups
Bitsec is an army of AI agents inspecting your code continuously.
Phase 1 begins.
x.com/bitsecai/statu…
Bitsec beat Fable 5 in finding security exploits
Fable 5 found ~60 vulnerabilities, 0 criticals, 3 highs.
Bitsec found 160+, including 5 criticals and 10 highs Fable 5 missed entirely.
And we caught *everything* it caught.
Whoa. A Bittensor subnet (60) BEAT FABLE:
"Before the US government locked things down, Bitsec jailbroke Fable 5, Anthropic’s hardened security-resistant model, and pointed it at a paying client’s codebase (with permission). Then they ran Bitsec against the same code.
Fable 5
Whoa. A Bittensor subnet (60) BEAT FABLE:
"Before the US government locked things down, Bitsec jailbroke Fable 5, Anthropic’s hardened security-resistant model, and pointed it at a paying client’s codebase (with permission). Then they ran Bitsec against the same code.
Fable 5 found around 60 vulnerabilities, five of them high or medium severity. ****Bitsec found over 160 in total, including five criticals and ten highs that Fable 5 missed entirely,*** and it caught everything Fable 5 caught."
taodaily.io/bitsec-sn60-ar…
Mythos may be the most powerful model... Right. Now.
with more capable models in the future.
What is protecting your systems and your client systems as models improve1?
Quick tech updates --
This week we made changes that improved miner experience and onboarding, and more transparency in subnet performance. Mining is getting increasingly competitive.
Platform
• Added validator status cards on the leaderboard showing live validator activity, pending agents, current runs, and average run times.
• Improved the Agents Status page with project set filtering and an option to hide agents that failed screening.
• Added support for cancelling submitted agents, including active screeners and pending/running validator work.
• Updated agent code reveal behavior: non-winning agents can be revealed after a round is evaluated, while the winning agent remains hidden until the next round closes.
• Added more detailed screener progress tracking so submission screening status is clearer.
• Improved analytics and leaderboard performance for faster page loads.
• Improved platform logging and request diagnostics for better operational visibility.
Sandbox
• Added a miner CLI command to cancel a submitted agent.
• Added support for eval_max_vulns, allowing evaluations to cap how many reported vulnerabilities are scored.
• Updated the sandbox setup flow to use uv, with refreshed README instructions.
• Added homepage and documentation badges/links to make onboarding easier.
AI security is no longer optional….it’s survival.
A $5B+ Zcash exploit sat undetected for 4 years… until AI found it.
@bitsecai is building exactly for this moment: catching vulnerabilities audits miss, proving it in real environments and now moving into revenue mode.
Test phase done. Phase 1 scaling. Enterprise next.
This is what early product market fit in AI security looks like.
$SN60 @bitsecai performing better on security audits than Fable + does it 10x cheaper
only downside = it's slower
@yubrew alluded to eventually tuning their IM to optimise speed
there's a lot more nuggets of information in there, give it a watch ▶️
I'll be going live on X and Youtube with John Yu, Founder of @bitsecai tomorrow morning to hear all the latest updates around AI security on Bittensor TAO.
See you at 11am EDT tomorrow!
Anthropic released Fable 5 this week, a hardened version of Mythos supposedly resistant to queries related to bio and health / cybersecurity / ML research
...which can be jailbroken in 5 minutes. oops
Everyone can find some exploits these days. How do you know you're finding all of them? Is your protocol still secure as models get better?
For Bitsec, we align incentives to continuously optimize for coverage, cost, and speed. Initial findings show Bitsec scans has better coverage and much cheaper than Fable / Mythos, but we take days compared to hours.
Comprehensive benchmarking with Fable could be costly like ~$5k-$10k, is it worth running?
@AethTAO You're looking at the wrong repo. We are developing v3 since months ago. Check on-chain data, discord channel, or website for 2 min before spewing out nonsense github.com/Bitsec-AI/sand…
Cybersecurity is not "solved" by any single model release.
It turns out context management, tool use, harness, using different models results in better coverage.
fable can not do cyber. right??
turns out it is easy jailbreak fable / mythos. once i knew it was possible, took 5-10 minutes. thanks @elder_plinius
did not run a full benchmark but spot checked against our existing cheap models + verifier + agent harness on a client codebase.
Qwen beats Opus 4.7 on all metrics.
From our miner data, Qwen flat out has higher detection rates no matter how you look at it. at 25% the cost.
It surprised us too. Building and running solid evals is the only way to reveal the truth.
Look beyond the marketing.
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