Threat modeling is a core activity in the process of building technology that can be trusted, allowing for the critical analysis of applications, using security and engineering resources. But even large and well-staffed organizations face challenges with manual threat modeling.
As the PCI SSF replaces PA-DSS, let's review how it is structured differently between the optional Secure Software Lifecycle standard and the Secure Software Standard.
Moving to the cloud alleviates organizations from the burden of maintaining physical infrastructures, but adds new threats. Learn how you can secure your move.
While diagrammatic threat modeling can be extremely useful to security and development teams, there are obstacles that prevent its widespread adoption. Learn how you can overcome these challenges.
Cyber attacks on hardware or IoT devices can have a far-reaching and deadly impact. Learn how you can make firmware more secure.
As software layer breaches get increasingly traced to firmware vulnerabilities, we must consider building secure products. Read more to get actionable steps on how to ensure firmware security.
Open banking gives us new business opportunities and convenience for customers. But how secure is this new business model?
Traditional threat modeling approaches are no longer scalable or accurate in an agile, cloud-based, microservices world. How can we evolve threat modeling to fit DevSecOps processes?
For many organizations considering cloud migration, the global pandemic accelerated their move. As this trend continues, the need to ensure data security will keep gaining momentum.
What is product security and how does it differ from software security? Learn why product security is gaining popularity and how you can build key capabilities.
With growing attack vectors, application security has become more mainstream than ever. Learn how developers can ensure software security all by themselves.
Financial institutions are a major target of cyber attackers. Defending against new cyberthreats has become vital for financial institutions to gain consumer trust and stay ahead of the competition.
In many organizations, software security is perceived as a roadblock. The apparent challenge lies in balancing the need to meet software development deadlines with security.
Despite the benefits of cloud computing, financial institutions lag behind other industries in terms of cloud adoption. The risk of data loss and regulatory compliance are some of the major concerns.
The Data Security Model Law impacts everyone working in the insurance industry and requires insurers to maintain an information security program. Learn the requirements under this law.
Cloud migrations offer a lot of benefits, but you need to ensure data security to make the move successful. Learn how you can migrate securely.
Most regulatory standards require organizations to provide security awareness training to their employees. Download this whitepaper to learn how you can comply with these requirements.
To close the current skills gap in cybersecurity, over 4 million professionals are required globally. Can automation help you to ensure security when there's a massive shortage of skilled resources?
Making a strong business case for software security will not only help you to get buy-in from leadership; but also ensure alignment with the organizational goals.
Cybersecurity isn't just a technology issue. Data breaches can severely damage your brand reputation which is why you should ensure reasonable data security.
Automating threat modeling and secure coding requirements helps organizations enhance their security posture, reduce time taken for security activities, and save costs significantly.
