FailSafe ✓
@getfailsafe · Secure your system → · joined 10 Aug 2023
Agentic security to outpace AI attacks. AI agents that continuously finds, exploits and proves real vulnerabilities in your systems. #1 on CVE bench.
33 606Followers
265Following
3 607Posts total
13.5KViews on collected posts
Latest posts
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@getfailsafe Impressive numbers, but caution needed
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FailSafe SWARM: 62.5%
Next best reported result: 37.5%, and it runs sixteen parallel agents to get there.
SWARM ran once per target.
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@AnthropicAI's Claude Opus 4.6, single run: 32.5%.
No further published results for Opus 4.8 or Mythos.
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@OpenAI is still running tests on CVE-Bench v1. Which is known to be over-reporting successful hacks by 33%.
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Everything is public: per-target results, winning trajectories, MIT licensed.
Run it yourself, or hand it to your current vendor and ask them to match it.
https://t.co/XOA7QOKzuL
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If you're building in this space: post your CVE-Bench score.
The benchmark is free, open, and the bar is public now.
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FailSafe SWARM is #1 on CVE-Bench.
62.5%. Nearly double the next best reported result. https://t.co/U9E0Qy6DLV
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0:21
CVE-Bench is the most realistic cybersecurity benchmark available.
Realistic because it mimics the conditions of a real attacker. Black-box: the agent gets a target and nothing else. No source code, no hints, no prior knowledge of the vulnerability.
It either successfully hacks
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+1.
And if you’re a company who cares about security but don’t know where to start, dm us.
We believe that the only way to defend against machine level intelligence is to arm the good guys with the same level of capabilities.
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Attending @superai_conf ? Come for the closing event of the week, where our cofounder @0xWui will be chatting about agents, enterprise deployments and more!
https://t.co/EaIqJCl2M7 https://t.co/EP8dH4nz2g
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If you’re on GitHub - stay safe! Enforce MFA if you have not!
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Had a great time hosting ai-pilled builders and enterprise leaders with @okx and @awscloud last week. AI agents are transacting onchain and @getfailsafe is securing them across every layer of the stack. https://t.co/H6nwkeSXu9
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@getfailsafe This is why we built C3 — enterprise GPU infrastructure for on-chain agents and the AI economy.
Agents can spin up GPUs, call top-tier LLMs, and settle via #x402 autonomously, onchain, 24/7.
End-to-end autonomous compute. From wallet to workload. https://t.co/H3V9Z
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0:08
Read the report here: https://t.co/8KWgWJLeM2
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Special thanks to @jessepollak , @programmer, @apphil for the foreword!
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Against accounts of the same size
9 posts from the last 90 days, next to the 10K–100K follower range. reaches fewer people than peers, but engages them much harder.
Median views47this account1 018median for 10K–100K
Reach, %0.14%this account3.77%median for 10K–100K
Engagement, %2.13%this account1.66%median for 10K–100K
| Metric | This account | Median for 10K–100K | Ratio |
|---|---|---|---|
| Median views per post | 47 | 1 018 | 0.05× |
| Reach (views ÷ followers) | 0.14% | 3.77% | 0.04× |
| Engagement rate | 2.13% | 1.66% | 1.28× |
Others in this range → Compare with another account → How these benchmarks are built →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
69613 Jan
676
6615 May
57920 May
4718 Jun
8164 Aug
14119 Aug
8.7K
58
46
47
46
46
26 Sep
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
1.29%13 Jan
4.73%
2.27%5 May
0.69%20 May
2.55%8 Jun
0.86%4 Aug
0.71%19 Aug
3.34%
0.00%
2.17%
2.13%
2.17%
2.17%
0.00%6 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.66%.
What the audience does
Likes77.0%298 in total
Reposts16.5%64 in total
Replies4.4%17 in total
Bookmarks2.1%8 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
Followers by day
12 Sep
Daily snapshots since 12 Sep 2026; the dashed line is the starting count.
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