Guardian
@GuardianAudits
Institutional Grade Onchain Security, for when it has to be right the first time. Guarded $45 Billion. Book an audit → https://t.co/iGORlXEvTs
5 080Followers
149Following
1 882Posts total
109.7KViews on collected posts
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Guardian has put up $1,000,000 in audit grant funding, to apply towards a grant apply here:
https://t.co/kCW1zTMwQj
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Teams interested in participating in the $1,000,000 security audit grants program can apply here:
https://t.co/kCW1zTN4FR
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With the release of Vanguard, Guardian is putting up $1,000,000 in security grant funding for teams shipping consequential products in DeFi and tokenization.
Teams selected based on track record and ecosystem impact can receive up to a full audit grant from Guardian. https://t.c
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Guardian Vanguard is our response to the imminent AI cyber threat and the growing Web2 risk surface in onchain finance.
Starting today Vanguard is available to protocol teams in need of complete security coverage:
https://t.co/nABNm2jIwA
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For this reason, a Guardian Vanguard audit includes continuous review of updates made to the scope post-audit for a 6-month period after launch.
Every update meets the same security standard and gets reviewed by the same eyes and systems that signed off on the original version.
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A wholistic security solution would not be complete without continuous review of updates post-launch.
Teams often make adjustments and add incremental features after launch, oftentimes without the same security oversight.
For many, these small updates are a large risk.
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Every Vanguard audit comes with half of the package cost back as credits towards offchain services to cover the critical surfaces that are most likely to lead to compromise and exploit in 2026. https://t.co/JrZFJxUtcq
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To date, Guardian's offchain services have secured critical threat surfaces for some of the largest teams in DeFi.
Trusted by @LayerZero_Core, @GMX_IO, @USDT0_to, and @avantisfi among many others. https://t.co/D3oUoBWFuF
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Just last year, Carlos coached team Europe to victory in the International Cybersecurity Challenge in Japan.
Carlos brings extensive experience across every vertical that threatens Web3 applications today, and has built the Offchain department at Guardian around that foundation.
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Heading the Offchain department at Guardian is the distinguished cybersecurity researcher Carlos Polop.
Carlos is most widely known for creating the biggest free cybersecurity wiki at @hacktricks_live as well as the widely used privilege escalation tool PEASS.
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This trend is only accelerating with the progression of AI Agents.
Since 2025, Guardian has been building a formidable Offchain security department to combat the growing Web2 risk surface.
- Webapps
- Keepers
- Cloud infrastructure
- Network perimeters
- OpSec
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With battle-hardened Smart Contracts, the onchain portion of financial applications today is no longer the weakest link.
The largest exploits of 2026 all came from offchain gaps: https://t.co/cpQO39HFPG
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Defender serves as a final barrier giving absolute assurance from the broader security community and the entire landscape of AI auditors.
After the Defender contest Guardian then hosts an evergreen bug bounty for the scope with up to $50,000 in Critical matching. https://t.co/VG
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After the two teams conduct a full audit on the codebase, Guardian sponsors a $100,000 Defender contest on the same scope as a cross-check.
The public Defender contest opens the audited scope to a global network of independent human researchers and AI Auditors. https://t.co/RWPy
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Helix marks the beginning of the AI + Human era in onchain security.
AI performs an exhaustive search for every possible bug and exploit, humans verify the context, configuration, and depth. Only human verified findings enter the final result.
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Already Helix has proven itself with confirmed bug bounties in many of the most respected protocols in DeFi, with many more on the way. https://t.co/LjP9RdNCJx
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Helix is the industry leading AI Auditor powering Team B with the world's deepest agentic security audit.
Helix covers every single call flow and execution path without fail while scaling compute to billions of tokens and unifying context across an entire review.
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Team A uses tried and true auditing methods: Expert manual review and deep invariant fuzzing to cover every possible application state.
Team B drives billions of AI tokens into every corner of the codebase, saturating everything frontier models are capable of finding. https://t.
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The Vanguard model starts with two teams both securing the same codebase.
Team A & B use different approaches, both of which uncover unique findings that the other would miss.
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Vanguard combines every valuable method across every uncovered attack surface, leaving no gaps for threat actors.
This is the 360° coverage required to secure digital assets in today's threat landscape. https://t.co/hSQRptXchu
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Enter: Vanguard
Vanguard is a security audit designed to provide teams the 100% surface area coverage they need to ship high risk releases confidently in the agentic cyber era. https://t.co/erkvuZ8J1T
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Onchain finance is under attack.
Frontier AI allows anyone to carry out sophisticated attacks against even the slightest gap in an organization's defenses.
Tokenized assets and DeFi protocols are among the first to be targeted with this new technology, with billions at risk.
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Today, Guardian announces Vanguard.
A security audit designed to protect onchain teams facing unprecedented cyber risk.
Along with Vanguard, we are announcing $1,000,000 in security audit funding. 🧵 https://t.co/0ap2ZJy0DY
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1:24
Update: we've been catching a lot of bugs.
1,500+ validated findings uncovered since March of this year 🤯 https://t.co/7xVPaLue4q
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Against accounts of the same size
24 posts from the last 90 days, next to the under 10K follower range. reaches fewer people than peers of the same size.
Median views754this account4 175median for under 10K
Reach, %14.83%this account250.82%median for under 10K
Engagement, %1.22%this account1.41%median for under 10K
| Metric | This account | Median for under 10K | Ratio |
|---|---|---|---|
| Median views per post | 754 | 4 175 | 0.18× |
| Reach (views ÷ followers) | 14.83% | 2.5× audience | 0.06× |
| Engagement rate | 1.22% | 1.41% | 0.86× |
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
74431 Aug
1.6K
611
654
613
551
514
490
495
487
637
630
1.1K
328
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
1.48%31 Aug
0.68%
1.64%
1.38%
1.14%
1.45%
1.17%
1.22%
1.21%
1.23%
1.26%
1.27%
1.59%
0.61%
Reactions — likes, reposts, replies and quotes — divided by views. Median for under 10K accounts is 1.41%.
What the audience does
Likes70.4%374 in total
Reposts7.3%39 in total
Replies7.2%38 in total
Quotes5.5%29 in total
Bookmarks9.6%51 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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