Top Ten Emerging Technologies in 2024 According to Forrester: Maximizing ROI and Addressing Security Concerns
Forrester has identified ten emerging technologies that are expected to deliver significant returns on investment (ROI) within the next five years. These technologies will also play a crucial role in enhancing security measures across organizations. Here is an overview of Forrester's top ten emerging technologies:
Generative Artificial Intelligence (GenAI), an advanced technology that has rapidly gained popularity, offers immense potential for creativity. However, as with any emerging technology, it also brings new security risks that require close attention to protect users from misuse and exploitation. In this article, we will delve into some key findings regarding the security risks associated with GenAI systems and discuss practical remediation strategies.
At XenVector we take Security very seriously, as much as we are excited like everybody in using GENAI to solve business productivity and efficencies, we also spend significant time to understand the Mis-UseCases and Threat Models to ensure our clients data is protected.
Recently release Google research on AI mis-usecase highlights these concerns.
Google's Naptime enhances LLM's ability to identify and analyze vulnerabilities in a manner that is both accurate and reproducible while ensuring optimal performance through its specialized toolset. This innovative framework represents an important step forward for AI-assisted vulnerability research, allowing security experts and practitioners to streamline their workflow and focus on the most critical aspects of their work—and maybe even take a well-deserved nap or two!
In today's rapidly evolving enterprise landscape, leveraging large language models (LLMs) to build AI-driven operations and intelligent applications is crucial for success. With the rise of private data sets within organizations, it becomes essential to establish clear relationships between various datasets using LLMs and Knowledge Graphs
Dapr improves the zero trust security posture of distributed systems out of the box by assigning application identities to all apps, ensuring that mTLS is enabled by default for all interservice and infrastructure communication.
The standards around security in software development are ever increasing in response to the need for greater protection. This article looks at the open source project Dapr, distributed application runtime, which contains a rich security feature set that allows developers to “shift left” with security and embed industry-standard best practices into their applications during development. Dapr provides a set of APIs to solve common distributed systems challenges around state management, workflow and data.
