LAS VEGAS--(BUSINESS WIRE)--Signal Sciences, the fastest growing web application security company in the world, today announced the general availability of the first application protection solution for Istio, the industry-leading open source service mesh for microservices architecture (MSA) applications. Signal Sciences continues to offer the first and only next-gen web application firewall (WAF) and runtime application self-protection (RASP) integration with both Envoy and Istio, protecting today’s modern applications in any cloud.
Visit Signal Sciences at the AWS re:Invent conference Booth #3707 on December 2-5, 2019, in Las Vegas to learn more. For more information, visit: https://www.signalsciences.com/blog/join-us-at-aws-reinvent-2019/.
In today’s software-driven world, some high performing companies are deploying new code thousands of times a day, according to DORA’s 2019 Accelerate State of DevOps report. Microservices usage has skyrocketed as these teams look to facilitate shorter development cycles, continuous releases and greater agility. Meanwhile, security management and visibility between services in a cloud-native application has become an increasingly complex task.
By integrating Signal Sciences at the service mesh, organizations can easily gain visibility into both east-west and north-south traffic, and protect their MSA applications without requiring development teams to implement code changes. Furthermore, Signal Sciences’ attack detection -- based on proprietary SmartParse technology -- makes highly accurate, instantaneous decisions and does not need the constant tuning or configuration that legacy WAFs require. These integrations drastically simplify the deployment of Signal Sciences on containerized applications in Kubernetes environments and enable organizations to scale their protection easily.
“Development teams are migrating their monolithic application architectures over to highly distributed, microservices foundations en masse,” said Jonathan DiVincenzo, vice president of product management at Signal Sciences. “While this industry-wide shift enables faster innovation and reduces time-to-market for new applications and features, the increased speed also means security capabilities must keep up rather than slow down engineering teams. Our integrations with Istio and Envoy empower these teams, enabling them to deliver quick value without sacrificing their security or visibility.”
The Signal Sciences next-gen WAF and RASP technology delivers the only application security solution that works across any architecture and offers the most flexible deployment options. Fast and easy to implement, it protects close to 30,000 cloud-native, legacy, and serverless applications and over a trillion production requests per month. Organizations across all industries deploy Signal Sciences to protect their most important web applications, APIs, and microservices against the full spectrum of threats.
To learn more about this announcement, read the company’s blog post: https://www.signalsciences.com/blog/cloud-native-protection-istio-service-mesh.
About Signal Sciences
Signal Sciences is the fastest growing web application security company in the world. With its award-winning next-gen WAF and RASP solution, Signal Sciences protects close to 30,000 applications and over a trillion production requests per month. Signal Sciences patented architecture provides organizations working in a modern development environment with comprehensive and scalable threat protection and security visibility. The company works with some of the world’s most recognizable companies, like Under Armour, Aflac and WeWork, across industries, including five of the top ecommerce companies, five of the largest software companies, in addition to many others in the financial services, retail, healthcare, media and entertainment, and government sectors. Signal Sciences is also the recipient of InfoWorld’s Technology of the Year and Computing's DevOps Excellence Award for Best DevOps Security Tool. For more information, visit Signal Sciences or follow @SignalSciences.