Ran a recent protocol through @hakiraio and was impressed by the workflow.
Beyond finding issues, @hakiraio validated findings with PoCs, correlated results against existing audit reports, and highlighted gaps worth a second look.
Hello , i had the opportunity to test @hakiraio that is an AI-powered security platform for teams who can't afford to ship vulnerable code, whether you're building on Web2, Web3, or both.
This platform has a user-friendly and intuitive interface that is surprisingly easy to use.
@hakiraio AI found a critical vulnerability in @wazuh and is now coordinating a CVE, along with 17 additional bug reports that are currently pending review
Most security tools tell you what’s broken.
Very few show you how it gets stolen.
I tested HAKIRA @hakiraio on a vulnerable setup.
Not for marketing.
For reality check.
The results were not just “findings”.
They were attack paths.
→ Auth bypass chains
→ Privilege escalation routes
→ Economic exploit loops
→ Data exposure points
But here’s the part that stood out:
✓It didn’t just flag bugs.
✓It reconstructed how an attacker thinks.
Step by step. Chain by chain. System by system.
That’s the difference between a scanner… and a security mindset engine.
Now to be clear:
No tool replaces deep manual auditing.
But direction matters.
And this direction is shifting from:
“Here’s what’s wrong”
to
“Here’s how you get drained”
That shift is everything in Web3.
Because exploits don’t happen as bugs.
They happen as sequences.
If you’re building in Web3, security is not a feature.
It’s the foundation.
Worth looking at Hakira with that lens.
@hakiraio@dersonxyz
#Web3Security #Cybersecurity
#Smartcontractauditing
We added something you've been asking for.
Hakira AI now reads your source code, then goes and tests your live target, knowing both gives you results that actually go deep.
New in Hakira AI ✨
Add your source code as a Source
Point the agent at your live URL
Get findings tied to the exact line of code
https://t.co/DWmtgvQ2N0
Using @hakiraio AI, you can automatically find vulnerabilities across both Web3 and Web2.
Last month, total findings: 800+ vulnerabilities, 68 critical, 203 high, and 393 medium severity findings.
The latest audit conducted using @hakiraio AI on a yield-bearing token project on Solana identified one Critical and one High-severity finding, both accompanied by working PoCs. Unfortunately, the findings were marked as duplicates.
Continue cooking.