A new Python package revives the name of a malicious module to steal source code and secrets from blockchain developers’ machines.
Read More about Same name, different hack: PyPI package targets Solana developers
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 ML-BOM capability in RL's Spectra Assure SAFE Report provides immediate visibility into every ML model in your environment.
Read More about Secure Your AI Supply Chain with the ML-BOM
Understand the difference between the SBOM and xBOM — and how it impacts software supply chain security.
Read More about What is the xBOM?
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
RL researchers have identified yet another npm package that uses malicious patching of local software to hijack cryptocurrency transfers.
Read More about Atomic and Exodus crypto wallets targeted in malicious npm campaign