The increasing number of cyber attacks has forced CISOs to produce results rapidly and reduce the information leaks. The spontaneous response from them is to acquire the latest tools and roll them out quickly. This leads to cybersecurity data silos by tools that do not integrate. This prevents from having a consolidated view of threats which is a necessity for creating actionable and automated responses. Additionally, as threats evolve, so do the number of tools and leads to a mess of cybersecurity data.
With an increasing number of tools producing security data, analytics and automation have become the need of the day. Additionally, leveraging multiple tools leads to a digital mess that is hard to analyze, integrate and program for automated responses. The increasing number of threats require near real-time response to limit the damage. Therefore, security as code is the only way forward to scale and react on time.
APIs and microservices are the go-to methods for developers to extend their services and share data. By using microservices, they can create a platform from a set of loosely-grouped services. Platform-centric architectures enable extensibility to plug-and-play new tools and services using API’s open data formats.
Similarly, CISOs must develop methods to break down siloed data and integrate data from different tools and subsystems. They should refrain from proprietary and closed systems and shift to microservices and open data formats. By creating a platform-centric layered architecture leveraging APIs and microservices, flexible interfaces that do not create data silos can be realized.
It has become inevitable for CISOs to invest in AI technologies to automate tasks and analysis. Leveraging services like Natural Language Processing, statistical and regression techniques, algorithms that distinguish normal behavior from anomalous patterns can all act as a start.
By creating a developer mindset by concentrating on security as code, security analysts can embrace toolsets like Chef, Ansible, CloudFormation, Python, and JSON, to develop high-quality cybersecurity tools and platforms. This not only increases the reaction time against cybersecurity attacks but also enhances prevention from future attacks that are similar. Therefore, it has become imperative for CISOs to broaden their horizons and think like developers.