#software-security

#software-security

Effective security relies on both software and hardware to protect digital identities and information.

Entry points in programming packages are a security vulnerability that attackers can exploit to execute malicious code without immediate detection.

The 2023 BSIMM report shows a decline in offering basic security training, highlighting the need for ongoing education in cybersecurity.

71% of developers download packages directly from the internet, revealing significant security vulnerabilities.

Less than half of organizations adequately scan source code and binaries for vulnerabilities.

There is an ongoing challenge in integrating security practices into development workflows.

Over 33,000 critical vulnerabilities were disclosed in 2024, but many are not as exploitable as rated.

Google aims to enhance memory safety in codebases by promoting memory-safe languages while continuing to support existing memory-unsafe languages like C and C++.

The transition towards memory safety will be gradual due to the ongoing use of legacy code.

Security-aware developers are vital for mitigating software security risks and reducing overall costs for organizations.

LLM-powered code generation tools are reshaping software development but may introduce significant risks to the software supply chain.

Lineaje enhances open-source software security using AI-driven scanning and monitoring.

Legit Security's platform enhances DevSecOps by using AI to identify vulnerabilities and suggest code remediations, streamlining security processes.

Commercial software is as vulnerable as open-source code, highlighting the need for improved security measures.

Numerous risks exist in widely used applications, raising concerns for developers and security teams.

The U.S. and Russia are the biggest contributors to open source projects, which carry significant vulnerabilities.

CISA is developing AI security initiatives, emphasizing the importance of human oversight in cybersecurity processes despite the hype around AI technology.

Software security needs a shift in incentives, similar to automotive safety reforms of the 1960s.

ActiveState remains dedicated to assisting enterprises with open source management, emphasizing the need for secure and compliant practices in software development.

Increased SCA adoption contrasts a decline in security training for development teams, representing a concerning trend in software security practices.

AI reliance calls for evolving security practices to accommodate growing amounts of code needing scrutiny.

ASPM strengthens security in CI/CD, bridging the gap between DevSecOps theory and practice.

A method to automatically translate C code to memory-safe Rust addresses long-standing memory safety vulnerabilities and software security issues.

Software manufacturers are urged to transition away from memory-unsafe languages like C/C++ to mitigate risks associated with national security. Deadline for compliance is Jan. 1, 2026.

The US Defense Advanced Research Projects Agency (DARPA) is developing TRACTOR to convert legacy C code into Rust using AI to enhance memory safety in programming languages.

The C++ community proposes Safe C++ Extensions to enhance memory safety and reduce vulnerabilities in code.