ThreatModeling

Secure Software Development Lifecycle in 2025 In 2025, securing software means more than fixing bugs after release. Teams embed security into every stage of the SDLC, from planning to production. This approach reduces risk, speeds up delivery, and earns trust from users and regulators. The landscape includes cloud-native apps, microservices, complex supply chains, and AI-assisted coding. To stay safe, organizations combine people, processes, and automation and set clear security gates along the pipeline. ...

DevSecOps Shipping Secure Code Faster Shipping secure code faster means security is not an afterthought. It is woven into the daily work of developers, testers, and operators. When security feels like a helpful partner rather than a hurdle, teams deliver features sooner and risk stays in check. This approach, often called DevSecOps, focuses on visible risk, lightweight checks, and automated feedback that guides teams toward safer choices. Security is not a shelf item. It should be part of planning, coding, testing, and releasing. Start with clear goals, simple guardrails, and friendly tools. Then extend them as your project grows. The result is a smoother flow from idea to production, with fewer surprise fixes and happier teams. ...

Application Security by Design: Secure Coding Practices Application security is built in, not bolted on. By designing for security from the start, teams reduce risk, lower costs, and protect users. This article offers practical secure coding practices you can apply in real projects. Begin with a threat model. List assets, such as data, keys, and endpoints; think about who might attack; and map likely paths. Use this model to guide design choices and testing criteria. Keep it simple: focus on the most valuable assets first. ...

IoT Security and Privacy in the Connected World From smart speakers to security cameras, many devices connect to the internet every day. This connected world brings convenience, but also risks. When devices lack strong protection, data can leak, and bad actors may take control. A clear plan helps keep both you and your family safer. Security by design means thinking about protection from the start. For consumers, look for devices that use strong authentication, offer regular updates, and keep data handling clear. For manufacturers, it means building with fewer gaps and providing simple ways to update and review security settings. In both cases, visible safeguards make a big difference. ...

Application Security: Building Secure Software from Day One Security should be built into every feature, not tacked on at the end. When teams plan a new API, a user interface change, or a data processing task, they should ask: What could go wrong? What data is at risk? How will we know if something is off? This mindset, often called threat modeling, helps reduce surprises later and protects users. Begin with a plan. Define security requirements alongside functional goals, and keep them small and testable. Use simple design principles: least privilege, fail-safe defaults, and defense in depth. Document decisions so everyone on the team understands why a choice was made, not just what was built. ...

IoT Security: Safeguarding Connected Devices From smart thermostats to security cameras, many devices connect to the internet every day. These gadgets make life easier, but they also bring risk. A weak password, an old firmware version, or an unsecured connection can give attackers a way in. With more devices online, keeping them safe is not just a tech issue; it’s about privacy and peace of mind. Why IoT security matters When devices are not secure, personal data can leak, and attackers can use a device as a doorway to your home network. Even small devices can be part of larger botnets used for attacks. Simple steps can cut most risks: strong, unique passwords; timely updates; and a secure network. ...