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Revolutionize your API testing practice (or bring it in for the first time) by leveraging artificial intelligence

October 22, 2018

APIs are powerful because they are building blocks that developers can use to easily assemble all sorts of interactions, without having to rewrite an interface every time they need machines to communicate. Since APIs have contracts, applications that want to communicate with each other can be built in completely different ways, as long as they communicate in accordance with the API contract. This allows different developers from different organizations in different parts of the world to create highly-distributed applications, all while re-using the same APIs.

Spotlight

Deep Instinct

Deep Instinct is the first company to apply deep learning to cybersecurity. Deep learning is inspired by the brain’s ability to learn. Once a brain learns to identify an object, its identification becomes second nature. Similarly, as Deep Instinct’s artificial brain learns to detect any type of cyber threat, its prediction capabilities become instinctive. As a result, zero-day and APT attacks are detected and prevented in real-time with unmatched accuracy.

OTHER WHITEPAPERS

Getting Visibility into IT Operations with Effective Discovery and Service Mapping

whitePaper | July 23, 2020

IT Operations Management (ITOM) is more important than ever in today’s fast-changing world. It helps IT to ensure availability, maintenance and deployment of hardware, software, services and processes. By providing IT with a single platform for operations management, ITOM is the enabler of speed, agility, complete visibility and rapid problem detection. This maximizes business return from IT investment by cost-effectively achieving optimum IT performance.

The future of AI is hybrid

whitePaper | May 15, 2023

The future of AI is hybrid. As generative AI adoption grows at record-setting speeds1 and drives higher demand for compute,2 AI processing must be distributed between the cloud and devices for AI to scale and reach its full potential – just like traditional computing evolved from mainframes and thin clients to today’s mix of cloud and edge devices. A hybrid AI architecture distributes and coordinates AI workloads among cloud and edge devices, rather than processing in the cloud alone. The cloud and edge devices, such as smartphones, vehicles, PCs, and IoT devices, work together to deliver more powerful, efficient, and highly optimized AI.

Everyday Ethics for Artificial Intelligence

whitePaper | December 26, 2022

IBM embraces five foundational pillars of trustworthy AI: Explainability, Fairness, Robustness, Transparency, and Privacy. These pillars underpin the development, deployment and use of AI systems. This document and IBM’s trustworthy AI pillars are meant to help you align on both process and outcomes.

Four Proven Steps to Integrating Threat Intelligence for Higher-Fidelity Detection and Response

whitePaper | July 20, 2020

Accurate, trustworthy threat intelligence is a boon if you have it – but too much of it becomes a management headache. Analyst group 451 Research, surveying security leaders for its report Tackling the Visibility Gap in Information Security, found that 49% of enterprises using SIEM, EDR, and other security tools were overwhelmed by the day-to-day operation of managing and ingesting threat feeds into their growing technology stack.1

Unpacking AI Procurement in a Box: Insights from Implementation

whitePaper | May 9, 2022

This document is published by the World Economic Forum as a contribution to a project, insight area or interaction. The findings, interpretations and conclusions expressed herein are a result of a collaborative process facilitated and endorsed by the World Economic Forum but whose results do not necessarily represent the views of the World Economic Forum, nor the entirety of its Members, Partners or other stakeholders

The UK’s AI Strategy: Where Are We Now?

whitePaper | September 22, 2022

Last year, the UK Department of Digital, Culture, Media and Sport (DCMS) published its 10- year National AI Strategy for the regulation and promotion of artificial intelligence (AI) in the UK (Report). DCMS seeks to build “the most pro-innovation regulatory environment in the world” and vows to make the UK the “best place to live and work with AI” over the next decade. Since then, the UK government and regulators have taken various steps towards this aim, with the Report anticipating a large number of AI-centric publications and consultations. Some key examples (and their latest status) are summarised below, including a policy paper and white paper on a pro-innovation national position on governing and regulating AI, an Information Commissioner’s Office (ICO) consultation on the beta version of its AI and data protection risk toolkit, and a consultation on copyright and patents for AI through the UK Intellectual Property Office (IPO).

Revolutionize your API testing practice (or bring it in for the first time) by leveraging artificial intelligence