
Quantum delivers really random numbers: How that boosts AppSec
Quantum random number generators can make software — including software development secrets — more secure. Here's how it works.

Quantum random number generators can make software — including software development secrets — more secure. Here's how it works.

Vibe coding — AI coding using prompt engineering — is making application security more challenging. Here's what you need to know.

Software supply chain risks from artificial intelligence and machine learning are getting real. Here are key insights from RL’s new report.

More cracks in the NVD emerge, making the CVE system less useful. Shift your approach to keep up with software risk.

The Open Source Secure Baseline provides a framework for securing OSS development — but it could breed complacency.

The Rules File Backdoor attack method is pernicious — and one that can be easily exploited with the rise of 'vibe coding' and agentic AI.

Target on back-alert: Open source was increasingly exploited in attacks on cryptocurrency infrastructure and apps in 2024.

Risk is rising across the software supply chain while visibility remains low, making TPCRM challenging. Here's what you need to know.

Instances of malware on open-source software repositories dropped in 2024 — but OSS risk is on the rise. Here’s what you need to know.

The Exploit Prediction Scoring System is useful, but limited. Here's why your application security strategy needs an upgrade.

The complexity of today's software development makes supply chain security essential. This new cheat sheet is a great place to start.

While open-source risks are not going away, attack trends show third-party commercial software presents the greatest risk to the enterprise.

The promise of higher development output is prompting rapid adoption of AI coding tools, but AppSec teams are in the hot seat with rising risk. Buckle up!

Orchestrating the heavy lifting of data management and analytics is easier said than done. Here are four key pillars for improving security outcomes.

From the AppSec testing gap to data privacy, AI is increasing security worries. Here are key takeaways from a survey of development leaders.
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