ai-governance
Safeguard articles tagged "ai-governance" — guides, analysis, and best practices for software supply chain and application security.
31 articles
CAISI's May 2026 Frontier Model Testing Agreements: Pre-Deployment Evaluation Becomes a Supply-Chain Control
On May 5, 2026, NIST's CAISI signed pre-deployment evaluation agreements with Google DeepMind, Microsoft, and xAI, bringing five frontier labs into a government testing program covering cyber, bio, and chemical risk.
CISA's Agentic AI Secure Adoption Guide (May 2026): What It Means for Software Supply Chains
On May 4, 2026, CISA and international partners published guidance on the secure adoption of agentic AI. We break down the named risks, the recommended controls, and how to operationalize them for AppSec and platform teams.
EU AI Act Article 73: Serious Incident Reporting from August 2026
Article 73 of the AI Act requires high-risk AI providers to report serious incidents within 15 days, with shorter clocks of 2 days for critical infrastructure and 10 days for death.
The State of Agentic AI Adoption report
New survey data on the state of agentic AI adoption shows enterprises racing to deploy autonomous agents faster than security teams can govern them.
EU AI Act Enforcement Begins: 2026 Reality Check
A 2026 reality check on EU AI Act enforcement: which obligations are active, what regulators expect, and the technical evidence enterprises must produce.
AI Scaffold Prompts: Enterprise Governance
System prompts that scaffold AI assistants are now load-bearing enterprise assets. A framework for versioning, reviewing, and governing them as seriously as source code.
EU AI Act and ISO 42001: how the two frameworks interact
How the EU AI Act's binding rules and ISO 42001's voluntary AIMS overlap, and how supply-chain evidence closes gaps generic GRC tools can't.
What is AI Security
AI security protects models, training data, and agentic systems from prompt injection, poisoning, and unsafe autonomy — here's what it covers and how to build a program.
What is AI Governance
AI governance means the policies and technical controls that keep AI models, data, and agents safe, compliant, and auditable across your software supply chain.
ISO/IEC 42001: AI Management Systems Reach Adoption Critical Mass
ISO/IEC 42001:2023 went from new-standard status to enterprise compliance benchmark in 2025, with major SaaS vendors certifying and the EU AI Act referencing it as a harmonized pathway.
Executive Guide to Operationalizing AI Governance
A 2026 look at why AI governance policies keep failing in practice—and the five-pillar operating model executives are using to fix it.
Why training data provenance matters for trustworthy AI m...
Poisoned datasets and untraceable training data are already causing lawsuits and breaches. Here's why training data provenance is now a security requirement.