Artificial intelligence has reshaped the rhythm of software creation. With tools like GitHub Copilot and ChatGPT, code now ...

In our study, a novel SAST-LLM mashup slashed false positives by 91% compared to a widely used standalone SAST tool.

Unlike dynamic analysis techniques, SAST operates without executing the program, focusing entirely on the static codebase.

Abstract: Code embedding represents code semantics in vector form. Although code embedding-based systems have been successfully applied to various source code analysis tasks, further research is ...

Want to pass the Microsoft AI-102 Azure AI Engineer certification exam on your first try? You are in the right place, because we have put together a collection of sample AI-102 exam questions that ...

If there's anything that gives a seasoned application security (AppSec) professional indigestion these days, it's the thought of AI-assisted coding layered on top of an already insecure development ...

Needs: Triage (Functions) potential-bugItems opened using the bug report template, not yet triaged and confirmed as a bugItems opened using the bug report template, not yet triaged and confirmed as a ...

ABSTRACT: Security vulnerabilities are a widespread and costly aspect of software engineering. Although tools exist to detect these vulnerabilities, non-machine learning techniques are often rigid and ...

SAN FRANCISCO--(BUSINESS WIRE)--Cycode, the leader in Application Security Posture Management (ASPM), today launched its proprietary next-generation SAST engine, achieving a breakthrough 94% reduction ...

Endor Labs has collaborated with Aikido Security, Arnica, Amplify, Kodem, Legit, Mobb, and Orca Security to introduce Opengrep, an initiative designed to maintain open access to static code analysis ...

The complexity of modern software systems, coupled with the increasing sophistication of cyber threats, underscores the critical need for robust security measures. Ensuring software integrity is not ...