Gartner Research

Artificial Intelligence and Application Security Vendors: Marketing Hype or Genuine Hope?

Published: 02 May 2017

ID: G00320017

Analyst(s): Mark Horvath

Summary

Security and risk management leaders must decide whether AI or machine learning in DevOps and application security testing delivers tangible value. They must be aware of the requirements in terms of data and human resources, and evaluate improvements in speed, accuracy and other tangible benefits.

Table Of Contents
  • Key Challenges

Introduction

Analysis

  • Examine AI Vendor Claims and Decide Whether They Offer a Quantifiable Improvement Over Your Existing Investment
  • Define a Baseline of Quality Metrics to Assess the Efficacy of the AI Techniques for Anomaly Detection and Security Analytics
  • Determine How Using AI Could Impact Your Organization's Processes and Skill Requirements
  • Fail Fast by Running a Pilot or Proof of Concept, Using Your Own Data and Testing Infrastructure Before Purchase
  • Assign Personnel to Evaluate and Manage AI as It Becomes a Larger Part of Your Security Process

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