Expert perspectives on application security, compliance, and emerging threats
StandardsThe Linux Foundation has quantified a crucial insight for engineering teams: your open source strategy can either multiply your investment or quietly drain your budget. Organizations that actively con
StandardsYour AI deployment just created 847 new service accounts, API keys, and machine credentials. Your security team discovered 312 of them three months later during an incident response. This gap between
StandardsScope This guide focuses on detecting and preventing adaptive malware that uses AI to modify itself within software supply chains. It includes specific controls for npm ecosystems, integrity verificat
StandardsIf your organization is deploying federated learning systems, you re already dealing with a core privacy challenge: training models on distributed data without centralizing that data. But protecting t
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StandardsYour IAM system was designed for humans and services with predictable behavior. AI agents break that model. According to a 2025 SailPoint survey, 80% of organizations using AI agents have observed the
StandardsThe Challenge Your organization relies on machines communicating with each other. Service accounts authenticate to cloud platforms, API keys authorize CI/CD pipelines, and OAuth tokens connect microse
StandardsYour developers are using AI to write code. Your security team scans containers and dependencies. But when someone asks, What AI models are running in production? — silence. Here s what the data shows
StandardsThe SAIL Framework v1.0 launched in June 2025 with ambitious guidance for AI security governance. Six months later, the picture is clear: organizations struggle to translate framework phases into enfo
StandardsOver 90% of modern applications rely on open-source components. Your vulnerability management process likely depends on a single source of truth: the CVE database . That assumption is about to change.
StandardsThe Challenge With the introduction of the EU Cyber Resilience Act , your compliance team faces a significant challenge: tracking and proving lifecycle management for every component in your software
StandardsThe regulatory environment for software development has fundamentally changed in 2025. What was once guidance is now enforcement, and organizations treating compliance as a checkbox exercise face sign
StandardsThe Problem: Data Leakage in Federated Learning Your federated learning models might be leaking training data. Research by Carlini et al. shows that sensitive information, like social security numbers
StandardsScope - What This Guide Covers This guide explains how to prepare your security program for NIST s forthcoming AI-specific control overlays, building on NIST SP 800-53 Rev 5 and the NIST Cybersecurity
StandardsScope - What This Guide Covers This guide explores how the 2025 OWASP Top 10 update impacts your security engineering practices when using AI coding assistants, deploying AI-powered features, or integ
StandardsThe Challenge A consortium of financial institutions participating in the UK-US PETs Prize Challenges faced a significant issue: how to train a shared fraud detection model across vertically partition
StandardsNIST is establishing a dedicated program for AI cybersecurity and privacy. For your compliance team, this raises a critical question: should you adopt the AI Risk Management Framework now, or continue
