Malicious instructions buried in LLM sources such as documents can poison ML models. Here's how it works — and how to protect your AI systems.
Read More about Indirect prompt injection attacks target common LLM data sources
The rapid rise of SaaS apps has spawned new risks. One new hopeful stands out: The SaaSBOM. Here are key steps that help rein them in.
Read More about SaaS risk is on the rise: 7 action items for better management
The sequential Monte Carlo method guides LLMs to produce code that plays by basic programming rules. Here's what you need to know.
Read More about MIT researchers tame AI code with new controls
Without modern application security tooling, including binary analysis, the third-party risk management puzzle is incomplete.
Read More about Mobile and third-party risk: How legacy testing leaves you exposed
Leaks from GitHub and other repos are up, but collaboration tools such as Slack and Jira are now a major threat — and a serious blind spot.
Read More about Secrets leaks increase — and expand beyond the codebase
CycloneDX 1.6's ML-BOM, SaaSBOM, and CBOM are non-negotiable visibility requirements in the software supply chain security era.
Read More about Rise of the xBOM: The new go-to tool for software security
The latest Data Breach Investigations Report puts the focus squarely on third-party risk. Here’s what you need to know.
Read More about Verizon 2025 DBIR: Third-party software risk takes the spotlight
The CVE's challenges mean it's time to get off the vulnerability hamster wheel and modernize your risk program.
Read More about Changes to CVE program are a call to action on your AppSec strategy
ML attacks are evolving, putting mitigation a step behind. Here’s what to focus on — and why traditional AppSec tooling is not up to the job.
Read More about NIST's adversarial ML guidance: 6 action items for your security team
While the state of cybersecurity careers is confusing, key trends are driving companies to think big-picture — and outside of traditional roles.
Read More about The cybersecurity job market is complicated: 3 key insights
Quantum random number generators can make software — including software development secrets — more secure. Here's how it works.
Read More about Quantum delivers really random numbers: How that boosts AppSec
Vibe coding — AI coding using prompt engineering — is making application security more challenging. Here's what you need to know.
Read More about Vibe coding: What automating development means for AppSec
Software supply chain risks from artificial intelligence and machine learning are getting real. Here are key insights from RL’s new report.
Read More about The race to secure the AI/ML supply chain is on — get out front
More cracks in the NVD emerge, making the CVE system less useful. Shift your approach to keep up with software risk.
Read More about CVEs lose relevance: Get proactive — and think beyond vulnerabilities
The Open Source Secure Baseline provides a framework for securing OSS development — but it could breed complacency.
Read More about OpenSSF guidelines encourage OSS developers to build securely