What an AI-Written Honeypot Taught Us About Trusting Machines

AI-generated code can introduce subtle security flaws when teams over-trust automated output. Intruder shows how an AI-written honeypot introduced hidden vulnerabilities that were exploited in attacks ...
GitHub

Semantic Kernel for Java

The quickest way to get started with the basics is to get an API key from either OpenAI or Azure OpenAI and to run one of the Java console applications/scripts below ...

Make Identity Threat Detection your security strategy for 2026

Identity-based attacks are one of the primary paths attackers use to breach corporate networks. Tenfold shows how Identity ...
IEEE

CHARON: Polyglot Code Analysis for Detecting Vulnerabilities in Scripting Languages Native Extensions

Abstract: Scripting languages like Python or JavaScript are extremely popular among developers, in part due to their massive open-source ecosystems that enable smooth code reuse. However, recent work ...
Security Boulevard

Detecting browser extensions for bot detection, lessons from LinkedIn and Castle

Modern bot detection rarely deals with obviously fake browsers. Most large-scale automation today runs inside browser ...
Telangana Today

IIIT Hyderabad developing tool to detect bugs in AI-generated software code

Hyderabad: As AI is being increasingly used for writing software programs, a new challenge has emerged over whether such automatically generated code is safe, reliable and correct besides being free ...
IEEE

Interactive Cross-Language Pointer Analysis for Resolving Native Code in Java Programs

Abstract: Java offers the Java Native Interface (JNI), which allows programs running in the Java Virtual Machine to invoke and be manipulated by native applications and libraries written in other ...