Coding a software project is a difficult task. Many hundreds of millions of dollars have been stolen so far as a result of numerous attacks. Many prominent projects were hacked, especially in the most innovative fields.

Why?

• development conditions differ significantly from the classic setup: usually, it is too late or impossible to roll back a faulty software version
• an attack can be executed in a single transaction, employing almost infinite liquidity with no down payment using flash loans
• composability yields exponential complexity increase
• there is no silver bullet or absolute security guarantees

How do we help?

We employ a security assessment methodology perfected in this field for years to find potential vulnerabilities and make code anti-fragile.

Unbiased code inspection

Reverse-engineering of models behind the software. That is where most logic inconsistencies pop up.

Guided code inspection

Documentation- and code-guided inspection. Making sure the code works as intended. Verifying with the models from the previous step. Checking invariants.

Automated analysis

Using the best tools in the field as well as a proprietary analyzer.

Checklist analysis

Using a checklist built through the course of several years of in-field experience.

Project- and sphere-specific analysis

Use best approaches in the field

..right from the beginning. So that you will not have to refactor a huge mass of bloated code.

Design a continuous security process

Using appropriate tools and methodology.

Plan deployment processes

It is not 2017, you will deploy a lot of code. Any slip could be fatal.

Verify

DLT solutions should be trustless, right?

Need ready-made answers?