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【分析レポート:技術】サイバーセキュリティでの自動化の役割

The Role of Automation in Cybersecurity

1Q 2017 | Technology Analysis Report | AN-2458 | 27 pages | 4 tables | 2 charts | 2 figures | PDF |

 

出版社 出版年月価格 ページ数図表数
ABI Research
ABIリサーチ
2017年3月お問い合わせください 27 8

サマリー

Aided by major investments in machine learning (ML) technologies, automation applications in cybersecurity are shifting rapidly due to the proliferation and magnitude of cyber threats in enterprise, industrial, and governmental systems. Automation is also seen, however, as a double-edged sword, especially when it comes to critical functions like incident response or SOC operations. This report examines current and emerging automation applications like security alert streamlining and system optimization; investigates veiled challenges like interoperability, network visibility, and encryption; and provides guidance for organizations aiming to make use of autonomous security systems.



目次

  • 1. TO AUTOMATE OR NOT TO AUTOMATE?
    • 1.1. Introduction and Overview
    • 1.2. Research Methodology and Market Data
    • 1.3. Network Disruption and Alert Fatigue
    • 1.4. SCAP/NIST Specifications Burrow Deeper Into Enterprise Security
  • 2. MACHINE LEARNING APPLICATIONS DRIVING AUTOMATION ADOPTION IN CRITICAL FUNCTIONS
    • 2.1. Data Recovery
    • 2.2. Skills Assessment and Training
    • 2.3. Penetration Tests and Red Team Exercises
    • 2.4. Network Engineering
    • 2.5. Incident Response
    • 2.6. Leveraging the Extensive Data-Gathering Capabilities of SIEMs
    • 2.7. The Double-Edged Sword of Encryption
  • 3. AUTOMATION OBJECTIVES IN CYBER SECURITY
    • 3.1. Automated Patching Across Multiple Server Instances
    • 3.2. Systems Engineering and Optimization
    • 3.3. Expedite Formatting and Machine-Readable Data
    • 3.4. Security Alert Streamlining
    • 3.5. TSL/SSL Certification management
    • 3.6. Permission Control and Privilege Management
    • 3.7. Empowerment, Not Replacement, of the Human Element
  • 4. VENDOR SECTION
    • 4.1. Ayehu
    • 4.2. Gurucul
    • 4.3. Hexadite
    • 4.4. McAfee
    • 4.5. Symantec
    • 4.6. Tripwire
    • 4.7. Splunk
    • 4.8. Trudera
    • 4.9. Vectra Networks

 

 

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プレスリリース

[プレスリリース原文]

Automation Advances Cybersecurity in the Artificial Intelligence Race but Challenges Remain

Automation and Machine Learning to Focus on System Optimization and then Critical Functions

 

London, United Kingdom - 11 Apr 2017

In its latest report that investigates the role of automation in cybersecurity settings, ABI Research finds that there are seven vital automated IT security applications that will function as the stepping stones necessary to advance cybersecurity in the new world of artificial intelligence. The automated processes will aid critical IT security functions that range from assisting security personnel to streamlining security alerts to system optimization.

“While it will most likely be a valuable addition to IT teams’ arsenals, automation can be a double-edged sword if not handled properly,” says Dimitrios Pavlakis, Industry Analyst at ABI Research. “We expect automated processes to first address key issues like TLS/SSL, or Transport Layer Security/Secure Socket Layer, certification and privilege management prior to tackling critical functions like incident response.”

As security analysts, network engineers, and IT personnel face increasingly tougher challenges due to the proliferation and magnitude of modern cyber threats, automation will become key with ABI Research anticipating it to reach critical mass within the next four years. Big data, business intelligence, and data analytics platforms are forecast to top $54 billion by 2021 with network security and incident response predicted to climb to $59 billion by the same year.

Innovative vendors working toward full automation in cybersecurity settings include security information and event management (SIEM) vendors IBM, HP, McAfee, LogRhythm, and Splunk; innovative cybersecurity vendors Ayehu, Hexadite, Symantec, and Tripwire; as well as machine learning and user and entity behavioral analytics (UEBA) vendors Gurucul, Trudera, and Vectra Networks.

These findings are from ABI Research’s The Role of Automation in Cybersecurity report.

 

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