
New AI security tool lays out key exposures
Risk Rubric gives assessments for LLM transparency, security and more. But it's only one tool in your AI security toolbox.
Supply-chain Levels for Software Artifacts (SLSA) — A collaborative framework run by the Linux Foundation that offers guidelines for establishing a clear understanding of the origins, dependencies, and potential vulnerabilities associated with software components. With it, software artifacts are categorized into levels based on their proximity to the development process, creating a structured approach to assess and manage potential security risks.
Enhanced security: By identifying and addressing vulnerabilities at different supply chain stages, organizations can effectively reduce the avenues open to malicious actors for exploitation.
Better reliability: Managing the software supply chain requires fostering trust-based relationships with vendors and suppliers. A foundation of trust, with all parties invested in the partnership's success, is necessary for the delivery of high-quality and secure software components.
Streamlined compliance: Organizations can simplify the often daunting task of regulatory compliance by maintaining transparency and ensuring that every stage of the supply chain is well documented.
Risk mitigation: Every software component carries potential risks, most notably third-party dependencies. By proactively managing these risks, organizations can significantly reduce the chances of security breaches or disruptions to operations.
Source components: The foundational building blocks of any software application are typically the original codes or components developed in-house by an organization.
Intermediate components: This refers to third-party libraries or modules that are integrated into the original code to enhance functionality or expedite the development process. These integral components bring in tried-and-tested functionalities so that developers don’t need to start from scratch.
Deployed components: These are the completed software artifacts deployed in production environments.
Enhanced reputation: Demonstrating a commitment to software security builds customer trust.
Reduced downtime: By identifying vulnerabilities early, organizations can prevent downtime caused by security breaches.
Cost savings: Addressing security issues proactively is more cost-effective than dealing with breaches after they occur.
Compliance adherence: Maintaining a clear record of software components and their origins simplifies compliance audits.
Comprehensive analysis: Thoroughly assess each software artifact's origin, dependencies, and security posture.
Vendor evaluation: Carefully vet third-party vendors and suppliers for their security practices and track record.
Continuous monitoring: Implement monitoring of software artifacts throughout their lifecycle.
Security updates: Security patches and updates for all software components.
[Related: Supply chain integrity attacks]
Software development: Ensure secure coding practices and robust dependency management.
Third-party integrations: Safeguard against vulnerabilities introduced by third-party components.
Open-source contributions: Maintain transparency and security when contributing to open-source projects.

Risk Rubric gives assessments for LLM transparency, security and more. But it's only one tool in your AI security toolbox.

With this evolving malware domain, you need clear, specific, and accurate YARA rules. Here's how Spectra Analyze can help.

PowerShell Gallery’s Install-Module command presents one key link in the kill chain of a possible attack.