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Effectively Implementing AI Analytics into Change Risk Prediction to Improve DevOps Reliability
Objectives, Benefits, and Use Cases of a Well-Implemented AI-Based CRP System An AI-driven Change Risk Prediction (CRP) system introduces predictive intelligence into the software development lifecycle, enabling teams to anticipate failures before they occur, detect risky patterns earlier in the process, and make deployment decisions grounded in data rather than intuition or incomplete manual analysis….
What We Learned Migrating Kubernetes Ingress Controllers at Digital.ai
In this post, Digital.ai’s CloudOps team shares insight on the decisions and approach behind a recent Ingress migration. Customers expect stability. At Digital.ai our standard MSA provides for 99.5% uptime or just under four hours of unscheduled outages per month. Near the beginning of 2025, we switched our Kubernetes Ingress controller from NGINX to Traefik…
The Rising Threat of Fake Mobile Apps and How Modern Protection Can Keep Users Safe
Attackers are expanding their use of cloned and tampered mobile applications at a pace that few organizations are prepared for. In 2025, malicious actors are weaponizing fake mobile apps, app cloning, reverse engineering, and increasingly stealthy distribution methods to trick users, steal data, compromise devices, and stage more sophisticated downstream attacks. While traditional perimeter defenses…
More Tests, More Problems: Rethinking AI-Driven Test Generation
Generative AI is transforming software development faster than any technology in recent memory. More than 76% of developers say they already use AI-assisted coding tools. Reports also show developers can complete tasks ~55% faster with AI code suggestions. Yet for many executives, the promise of AI hasn’t translated into measurable impact. In a recent survey…
Obi-Wan Kenobi’s Guide to Application Security
“That’s no moon. It’s a space station.” With those six words, Obi-Wan Kenobi identified what would become the most expensive single point of failure in galactic history. The Death Star—the Empire’s ultimate weapon, a moon-sized battle station capable of destroying entire planets—had a fundamental design flaw. Not a small one. Not a “we’ll patch it…
Arming ARM Protection: ARM-based Arm Wrestling
Auspiciously Aggravating ARM Attackers A few years ago, Apple released a single paragraph of text that changed the course of Application Security overnight. Starting with Xcode 14, bitcode is no longer required for watchOS and tvOS applications, and the App Store no longer accepts bitcode submissions from Xcode 14. Xcode no longer builds bitcode by…
The Real ROI of AI Starts Inside the Workflow
Productivity gains help individuals. Agentic AI is what strengthens alignment, decisions, and outcomes. Talk to any transformation leader after they’ve rolled out AI and the story doesn’t change much. Teams get faster, output goes up, and some of the busywork goes away. But the hard parts of running the business stay exactly the same. According…
Dopamine & Dopamine-RootHide: The Myth of the Undetectable Jailbreak
Recent jailbreak releases such as Dopamine 2.4.x and its fork Dopamine-RootHide have sparked discussions about “undetectable jailbreaks.” The new Hide Jailbreak features were quickly described online as stealth techniques that bypass jailbreak detection entirely. Forums filled with success stories: banking apps that had rejected jailbroken devices for years suddenly worked. Security apps passed their checks. The…
How Conflicting Security Directives Can Leave You Without Any Oxygen
If HAL-9000 Didn’t Read Lips, Dave Bowman Wouldn’t Have Had to Spacewalk Without a Helmet Or: Why Your Application’s “I’m sorry Dave, I’m afraid I can’t do that” moment happens because you forgot to protect the pod bay doors Listen, we need to talk about HAL. Not because he’s a murderous AI with trust issues—though…
Securing AI-Generated Code with Digital.ai Release
Introduction: AI Code Security and Its Emerging Risks Large Language Models (LLMs) and AI-assisted coding tools offer immense potential in accelerating development cycles, reducing costs, and improving productivity. However, this acceleration comes at a cost: AI-generated code introduces significant security risks, many of which remain poorly understood, inadequately mitigated, and largely unregulated. The vulnerabilities inherent…
