Expert perspectives on application security, compliance, and emerging threats
GeneralYour compliance team might think AI observability is just another term for monitoring. That s not quite right, and this misconception can lead to audit risks. These myths persist because AI workloads
GeneralMost discussions about AI coding tools focus on whether the generated code is secure. That s the wrong question. The real risk isn t what the AI writes at the moment, it s what it pulls in from the ec
GeneralScope This guide tackles the challenge of ensuring your AI agents perform precisely as instructed, without deviation. If your team deploys AI systems that act on behalf of users, like booking resource
GeneralYou ve probably heard the pitch: AI coding assistants will make your developers more productive, catch bugs earlier, and ship features faster. All true. What the vendor demos won t show you is what ha
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GeneralCompliance teams at regulated organizations often hear that AI will revolutionize development speed. What they re thinking: Great, another technology that ll create audit findings. This skepticism isn
GeneralYou ve got three years before the Cyber Resilience Act makes Software Bills of Materials (SBOMs) mandatory in Europe. That deadline is at the end of 2027, and if you re selling software into EU market
GeneralYou ve filled out the framework mapping spreadsheet. You ve documented your model card. You ve assigned risk tiers to your AI systems. And now you think you re done with AI governance. Here s the prob
GeneralTraditional security tools can t keep up with CI/CD pipelines. This operational reality forces security teams to rethink their approach to application protection. The shift to cloud native development
GeneralA 2026 Dataiku survey found that 85 percent of CIOs had seen AI projects delayed or blocked due to privacy concerns. Your compliance team s response? Deploy a privacy proxy and call it solved. Not qui
GeneralBetween 2024 and 2026, three major attack patterns targeted Retrieval-Augmented Generation (RAG) pipelines in enterprise SaaS environments. The EchoLeak vulnerability in Microsoft 365 Copilot enabled
GeneralAI spending is projected to reach $2.5 trillion by 2026, with 40% of enterprise applications embedding task-specific AI agents by the end of that year. However, many organizations grant these agents m
GeneralYou re maintaining a payment processing service that depends on 247 open source packages. Eighteen of them haven t seen a commit in over two years. Three have known CVEs with no patches coming. Your c
GeneralThe assumption that you can secure AI in your applications just like open-source libraries—by scanning for vulnerabilities, checking licenses, and updating as needed—is dangerously incomplete. Why Tra
GeneralScope This guide addresses the governance of non-human identities (NHIs) — such as service accounts, API keys, OAuth tokens, machine certificates, and bot credentials — within compliance frameworks. Y
GeneralMany organizations mistakenly treat AI agents as mere software tools. They configure them once, rotate an API key occasionally, and assume they re secure. This approach is flawed and leads to security
GeneralScope This guide focuses on governance frameworks for AI-assisted code generation in organizations where employees use tools like Claude Code, GitHub Copilot, or ChatGPT to create applications outside
