Spectro Cloud completed a $75 million Series C funding round led by Growth Equity at Goldman Sachs Alternatives with participation from existing Spectro Cloud investors.
In the mobile app development world, security often takes a backseat to developing features and delivering the app. In fact, the 2021 Verizon Mobile Security Index found that 45% of organizations sacrificed mobile security in order to “get the job done.”
It really shouldn't come as a surprise. Certainly, it seems counterintuitive that mobile app development organizations would spend so much time and money to create an exceptional Android or iOS app and then fail to protect it against rooting, jailbreaking, reversing, hacking and other kinds of malicious manipulation. But the average mobile developer releases 12 apps each year, a frenetic pace that requires development to take place in parallel, without ceasing. Schedules and budgets are tight, and competition is fierce. Coding security into an app is both expensive and time consuming, increasing the risk of a delayed release or budget overages.
In many organizations, if security is implemented into a mobile app at all, the process takes place during penetration testing. That's too late, and it's extremely inefficient. Waiting to implement security after development and delivery are essentially finished will anger developers, because now, they have to dive back into their code to make complex changes to work they had thought was finished. The code is no longer fresh, so it's going to take more time than it would have if security implementation had taken place during the development process itself.
But integrating security into the development process is no simple task either. Imagine two friends are spinning a couple of jump ropes. Jumping in the middle without stepping or tripping on either of the ropes while they are moving is difficult. Each time a security feature is introduced into a mobile app software development lifecycle (SDLC), the person building the security could step on the rope. Building security features takes time, and they are hard to build and maintain.
Our Oversimplified Model of DevSecOps
To solve this problem, DevSecOps was introduced to resolve this conflict and overcome the challenge of integrating security into the mobile SDLC. The idea is that organizations can develop features and incorporate security simultaneously. So far, much of the emphasis in DevSecOps has been focused on the processes development, security and operations that teams use to build, protect and release apps. People have done heroic work creating cultures of security and secure coding practices, which has moved the industry forward towards more secure mobile apps for everyone.
Let's take the jump rope analogy a bit further. One friend holding the ropes is the development and engineering team, while the other is the ops-release team. The ropes each represent an iOS and an Android app. In most organizations, the ropes are moving at blazing speeds, as apps are churned out one after the other. Meanwhile on the sidelines, there's the security team, whose job it is make sure the ropes meet security objectives, jumping in where needed, all without stopping the ropes from spinning.
The trouble is that each group has different skills and objectives. Developers aren't typically security engineers, and security teams don't typically have developers. Neither group has the resources or skills to meet the needs of the other, and whenever they try, one of them trips on the rope.
Mobile DevSecOps, Meet Continuous Security
The only way to keep the current breakneck pace of app releases going while simultaneously providing security is to introduce as much automation as possible. AI systems can fuse security to an app more cost-effectively and consistently, complete with validation that the features required have been implemented. It's different from code scanning, which occurs after the app is built and leaves remediation to the dev team. I'm proposing that implementation of security itself be automated.
The growing threats to mobile apps are too significant for development teams to ignore, but so are the market pressures that force such short delivery timescales. The only way out of this dilemma is extensive automation. Otherwise, the dev and sec teams will keep continuously stepping on each other's ropes.
Industry News
The Cloud Native Computing Foundation® (CNCF®), which builds sustainable ecosystems for cloud native software, has announced significant momentum around cloud native training and certifications with the addition of three new project-centric certifications and a series of new Platform Engineering-specific certifications:
Red Hat announced the latest version of Red Hat OpenShift AI, its artificial intelligence (AI) and machine learning (ML) platform built on Red Hat OpenShift that enables enterprises to create and deliver AI-enabled applications at scale across the hybrid cloud.
Salesforce announced agentic lifecycle management tools to automate Agentforce testing, prototype agents in secure Sandbox environments, and transparently manage usage at scale.
OpenText™ unveiled Cloud Editions (CE) 24.4, presenting a suite of transformative advancements in Business Cloud, AI, and Technology to empower the future of AI-driven knowledge work.
Red Hat announced new capabilities and enhancements for Red Hat Developer Hub, Red Hat’s enterprise-grade developer portal based on the Backstage project.
Pegasystems announced the availability of new AI-driven legacy discovery capabilities in Pega GenAI Blueprint™ to accelerate the daunting task of modernizing legacy systems that hold organizations back.
Tricentis launched enhanced cloud capabilities for its flagship solution, Tricentis Tosca, bringing enterprise-ready end-to-end test automation to the cloud.
Rafay Systems announced new platform advancements that help enterprises and GPU cloud providers deliver developer-friendly consumption workflows for GPU infrastructure.
Apiiro introduced Code-to-Runtime, a new capability using Apiiro’s deep code analysis (DCA) technology to map software architecture and trace all types of software components including APIs, open source software (OSS), and containers to code owners while enriching it with business impact.
Zesty announced the launch of Kompass, its automated Kubernetes optimization platform.
MacStadium announced the launch of Orka Engine, the latest addition to its Orka product line.
Elastic announced its AI ecosystem to help enterprise developers accelerate building and deploying their Retrieval Augmented Generation (RAG) applications.
Red Hat introduced new capabilities and enhancements for Red Hat OpenShift, a hybrid cloud application platform powered by Kubernetes, as well as the technology preview of Red Hat OpenShift Lightspeed.
Traefik Labs announced API Sandbox as a Service to streamline and accelerate mock API development, and Traefik Proxy v3.2.