Hunting for individual vulnerabilities will get us nowhere, Anthropic argues. Instead, businesses should reduce accessible code.

Built on an evolutionary engine first released in 2018, STAR Fuzzer by Bright Security finds crashes, memory exhaustion and memory-safety bugs in security-critical code without a running application.

Automated attack surface analysis and reduction can meaningfully improve the security of deployed software in the near term.

When asked how to make software secure, one might think of the task of fixing discovered vulnerabilities one by one.However, ...

In its first open source research run, it found High or Critical issues in 45% of the projects tested, and in its first month ...

Built on an evolutionary engine first released in 2018, STAR Fuzzer by Bright Security finds crashes, memory exhaustion and ...

October 20, 2026, Anthropic published interesting research results regarding cybersecurity.Surprisingly, when they used the ...

Empirical methods for building natural language systems has become an important area of research in recent years. Most current approaches are based on propositional learning algorithms and have been ...

The HackerNoon library is now ranked by reading time created. Start learning by what others read most. The Future of Gaming ...

ANEX is a fully custom programming language designed and implemented from scratch in Python — complete with a visual compiler debugger that lets you watch every stage of the compiler pipeline happen ...