Evolving Security Solutions with Artificial Intelligence
This IDC Perspective explores the expanding influence of AI in various industries, driven by the rapid pace of digital transformation (DX). It specifically examines how AI is shaping cybersecurity solutions for enterprises in the Asia/Pacific region. Across the cybersecurity landscape, from threat intelligence to user and entity behavior analytics, malware detection, vulnerability assessment, intrusion detection and prevention systems (IDPS), network traffic analysis, anomaly detection, cloud security, application security, DevSecOps, MLSecOps, and source code evaluation, AI and ML are playing pivotal roles in enhancing proactive cyber-resilience.Both security technology suppliers and security SPs are actively investing in research and development to create solutions that align with the evolving threat landscape and meet the dynamic needs of customers. This trend underscores the critical importance of leveraging AI/ML to address cybersecurity challenges effectively.
Please Note: Extended description available upon request.
- Executive Snapshot
- Situation Overview
- The Rise of AI-Enhanced Cyberattacks: Lessons from the Mirai Botnet and Others
- Unlocking the Power of AI and Machine Learning in Cybersecurity: Advantages and Hurdles
- Advantages
- Challenges
- Exploring Applications of AI/ML in Cybersecurity
- Intrusion Detection and Intrusion Prevention Systems
- Malware Detection and Analysis
- Threat Detection and Response: Threat Intelligence
- User Behavior Analytics
- Network Traffic Analysis and Security in the Modern Digital Landscape
- Enhancing Application Security with AI/ML, Including Automated Source Code Evaluation
- Advancements in Vulnerability Assessment and Penetration Testing
- DevSecOps
- MLSecOps: The Confluence of Machine Learning, Security, and Operations
- Anomaly Detection in Cloud
- Advice for the Technology Buyer
- Deploying and Integrating AI in Cybersecurity Systems
- Challenges and Considerations for AI Deployment
- Integrating AI into Existing Security Infrastructure
- Monitoring and Maintaining AI Models
- Responsible AI: Ethical and Legal Implications of AI in Cybersecurity
- Ethical Challenges of AI in Cybersecurity
- Legal Implications and Regulatory Concerns
- Striking a Balance: Ethical AI in Cybersecurity
- Compliance and Risk Mitigation
- Learn More
- Related Research
- Synopsis
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