The Practical Value of AI in Understanding Binary Code
Automating Reverse Engineering Processes
Our research focuses on training AI to understand binary code and provide English descriptions, automating reverse engineering processes. This is crucial as binaries are complex and lack transparency, making them challenging to comprehend.
Addressing the Challenge of Understanding Binary Code
We aim to simplify the understanding of binary code by developing an automated tool that can analyze the code and generate meaningful English descriptions. This tool can save time and provide clarity, especially in malware analysis and reverse engineering tasks.
Improving Dataset Quality
We have introduced a new dataset from Stack Overflow, containing over 1.1 million entries, to better translate binaries into English descriptions. This dataset serves as a substantial source of information for training machine learning models.
Challenges in Training Neural Networks
Despite significant effort, our findings revealed the complexity of developing high-quality datasets to effectively train machine-learning models to summarize code. Further research and innovation are required in this field to address these challenges.
AI Solutions for Your Business
Identifying Automation Opportunities
Locate key customer interaction points that can benefit from AI to stay competitive and evolve your company.
Defining KPIs for AI Endeavors
Ensure that your AI initiatives have measurable impacts on business outcomes.
Selecting Customized AI Tools
Choose AI solutions that align with your needs and provide customization for your advantage.
Gradual Implementation of AI
Start with a pilot, gather data, and expand AI usage judiciously to redefine your way of work with AI.
Spotlight on a Practical AI Solution: AI Sales Bot
Explore our AI Sales Bot designed to automate customer engagement 24/7 and manage interactions across all customer journey stages at itinai.com/aisalesbot. This solution can redefine your sales processes and customer engagement.
