RL's SAFE report delivers insights into the APIs and services in your software, further enhancing transparency beyond a typical SBOM.
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Virtual-machine ubiquity requires rethinking traditional AppSec controls — and modernizing your approach. Here are essential considerations.
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New NIST guidance identifies ML challenges. Here’s why ReversingLabs Spectra Assure should be an essential part of your solution.
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RL researchers detected a sophisticated, malicious package believed to be an ongoing campaign that may be linked to a hacktivist gang.
Read More about Backdoor implant discovered on PyPI posing as debugging utility
Here's why your organization should consider using SaaSBOMs, key challenges — and how to put CycloneDX's xBOM standard into action.
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Model Context Protocol makes agentic AI development easier by connecting data sources — but the risks are very real. Here's what you need to know.
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ReversingLabs’ YARA detection rule for Conti can help you detect this ransomware in your environment. We provide tools and information that you can use to spot CONTI at work in your environment.
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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