Explore the latest frameworks in information security. Stay updated on guidelines to protect your digital assets and ensure data privacy.
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Background for this topic.
A security framework is an organized set of principles, practices, and controls for managing information and technology risk. Frameworks such as the NIST Cybersecurity Framework, ISO/IEC 27001, and COBIT help organizations structure activities including identifying assets and risks, protecting systems, detecting events, responding to incidents, and recovering operations. They are reference models rather than automatically effective security programs: an organization must select and implement measures appropriate to its systems, threats, and risk tolerance.
Practitioners use frameworks to assign responsibilities, prioritize vulnerability remediation, assess suppliers and cloud services, and document why particular controls are in place. They also provide a common vocabulary for audits, regulatory or contractual evidence, and measuring improvement over time. News under this tag may concern revisions to framework requirements, mappings between frameworks, assessment findings, or failures caused by treating a framework checklist as proof that controls work. A framework can guide governance and security operations, but it does not replace technical testing, continuous monitoring, or judgment about specific attack surfaces.
The Campaign Compromises Open-Source Vulnerability to Hack IoT Devices at ScaleSecurity firm CloudSEK has uncovered a botnet campaign that is exploiting the React2Shell vulnerability in the Meta-developed, open-source React framework across a variety of devices since December. The security firm attributed the campaign to RondoDox.
Jason Rolleston: Unified Agent and AI Aim to Boost Midmarket Security CapabilitiesBroadcom's integration of Symantec and Carbon Black promises a unified single-agent framework and AI-enhanced threat detection to help small and midmarket businesses defend against sophisticated cyberthreats with limited resources, said Jason Rolleston.
In December 2024, the popular Ultralytics AI library was compromised, installing malicious code that hijacked system resources for cryptocurrency mining. In August 2025, malicious Nx packages leaked 2,349 GitHub, cloud, and AI credentials. Throughout 2024, ChatGPT vulnerabilities allowed unauthorized extraction of user data from AI memory