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The adoption of GPT-4 and other generativeAI(GenAI) models in the software development community has been swift.
Co-founder and CTO of Backslash Security.
Static datasets used to trainLLMsare often the culprit in these cases.
These “phantom” scenarios occur when GPT-4 does not have the full context from the entire codebase.
This greatly complicates vulnerability management and remediation efforts.
History has likewise shown us that new secure coding practices evolve and grow to address new shortcomings.
The same will ultimately happen with GenAI coding tools.
Likewise, establishing use cases for certain GenAI tools will help developers operate within their limitations.
For instance, GenAI is ideal for automating repetitive and manual tasks, such as auto-filling code functions.
As GenAI continues to revolutionize coding practices, developers will increase their reliance on these tools.
Still, we should not be afraid to adopt the best tools and strategies to harness its potential.
We have already experienced technological revolutions likecloud computing, whereapplicationsecurity had to catch up.
We’ve featured the best AI phone.
The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc.
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