NIST Cybersecurity Framework Implementation Case Study

whitePaper | November 25, 2019

Cybersecurity threats against energy companies, including utilities, have been increasing at an alarming rate. A comprehensive approach to ensuring cyber protection is essential and should include cybersecurity threat detection as a standard element. But not all such cybersecurity solutions are created equal.

whitePaper | December 12, 2022

In the evolution of Internet-based technologies, Web 2.0 introduced popular decentralized services that accelerated interactivity between websites and users. Looking to capitalize on this innovation, businesses rushed to launch applications to the market. However, both the Web 2.0 architecture and dependent businesses failed to incorporate key security principles into the design and implementation of these services, resulting in critical vulnerabilities.

whitePaper | January 23, 2020

With the accumulation of big data, dramatic improvements in computing power, and continuous innovation in Machine Learning (ML) methods, Artificial Intelligence (AI) technologies such as image recognition, voice recognition, and natural language processing have become ubiquitous. Meanwhile, AI poses a significant impact on computer security: on the one hand, AI can be used to build defensive systems such as malware and network attack detection; on the other hand, AI might be exploited to launch more effective attacks.

whitePaper | October 17, 2022

Our approach to cybersecurity includes a holistic set of services spanning Risk Assessments, Security Patching, Advisory Services and Managed Detection and, Response (MDR).

whitePaper | October 12, 2022

Cisco’s Private 5G (P5G) solution, offered as a service, is designed to fit seamlessly into existing enterprise networks and provide private cellular networking capabilities for that enterprise. The solution builds on Cisco’s enterprise networking best practices and a clear understanding of enterprises’ understanding and expectations of private networks.

whitePaper | November 18, 2022

Bot-generated attacks have risen in visibility, and defending against these attacks is now a priority for most organizations. Yet challenges persist in accurately identifying bot traffic; protecting a distributed, heterogeneous application environment from these attacks; and minimizing the impact to legitimate users while doing so. To address these issues, intelligent protection against sophisticated bots is a necessity. This should include strong analytics coupled with human expertise, a frictionless user experience, and consistent coverage across different architectures and platforms. F5 Distributed Cloud Bot Defense, built on Google Cloud, supports these requirements and can help prevent fraud and abuse against public-facing web applications.