A variety of threat modeling tools and methodologies exist to help cybersecurity professionals increase application security. The purpose of these tools is to help left-shift security into the application design phase. Most of these tools, though, are severely limited by their underlying shift left methodology. These security tools can require manual analysis of data flow diagrams across so-called trust boundaries by security subject matter experts.
The result is the identification of broad categories of cyber threats – i.e. elevation of privilege, denial of service, and other so-called STRIDE threats. Such “threats” are believed to arise from the way an application causes data to move through an operational environment.
However, potential threats arise from more than web applications. Whenever mobile and smart devices connecting to the network, there is a host of potential threats. The rapidly increasing array of IoT and embedded devices frequently provide unsecured entry points for attackers. Cloud deployment environments give rise to potential threats unique from traditional on-premises data centers. Automated and networked industrial control systems generate rapid expansion of the organization’s attack surface. Moreover, today’s organizations operate in a highly interconnected cyber ecosystem. Each of the separate components of the IT stack are potentially accessible – often in ways that are unintended by their design – to potential threats from 3rd party vendors, supply chain providers, and others outside the organization’s direct control.
From Security Challenges to Enterprise Solutions
When organizations identify and mitigate potential threats in their application production environment – and do so at the speed demanded by their CI/CD workflow and at the scale of their DevOps or agile portfolio – everyone wins. More applications to market with better security means an improved bottom line. When stakeholders understand the threats and attack vectors that exist throughout the IT environment, everyone wins. True cross-functional collaboration on enacting security policy results in a more secure environment and reduce cyber risk. Most importantly, when organizations quantify – in real-time – the strength of their existing or proposed security controls within the context of new and emerging relevant threats, everyone wins. Better use of existing technologies, improved defense-in-depth configuration, and higher sustainable ROI on security investments make for a smoothly operating and more profitable enterprise.
Enabling organizations to better manage their IT security, mitigate threats, and reduce risks across the full cyber ecosystem is why ThreatModeler is increasingly trusted and relied upon by Fortune 1000 CISOs and cybersecurity professionals.