Generative AI Enhances Cybersecurity Applications, Boosts Threat Detection and Identity Management

Information Services Group (ISG) has released its 2025 Buyers Guides for Cybersecurity, evaluating 57 software providers across four platform categories. Leaders in various cybersecurity software categories include Microsoft, IBM, SentinelOne, and AWS. The report highlights the transformative impact of generative AI on cybersecurity tools, particularly in SIEM, EDR, and IAM, enhancing threat detection and user identity management capabilities.

Information Services Group (ISG) has released its 2025 Buyers Guides for Cybersecurity, evaluating 57 software providers across four platform categories. The report underscores the growing importance of advanced cybersecurity software in the face of evolving threats and highlights the transformative impact of generative AI on various cybersecurity tools.

The ISG Buyers Guides™ for Cybersecurity provide a comprehensive review of viable software options, comparing their strengths to help enterprises make critical selection decisions. The evaluation covers four key categories: Security Information and Event Management (SIEM), Identity and Access Management (IAM), Endpoint Detection and Response (EDR), and Data Recovery.

Leaders in Cybersecurity Software Categories

- SIEM: Microsoft, Splunk, and ManageEngine emerged as overall leaders, with Microsoft being a Leader in six evaluation categories, Splunk in five, and ManageEngine in four.
- IAM: Microsoft, IBM, and Oracle were named overall leaders, with IBM excelling in all seven performance categories.
- EDR: Microsoft, SentinelOne, and Palo Alto Networks were the top performers, with Microsoft leading in all seven evaluation categories.
- Data Recovery: AWS, Microsoft, and IBM were the top overall leaders, with AWS and Microsoft being Leaders in four and six categories, respectively.

Impact of Generative AI

The report emphasizes the significant role of generative AI in enhancing cybersecurity tools. AI algorithms are automating anomaly detection and responses to threats in SIEM platforms, enabling real-time visibility and proactive threat detection. In IAM, AI is automating routine functions such as user account provisioning and de-provisioning, streamlining enterprise processes. EDR software is leveraging AI to prioritize alerts based on risk, improving endpoint protection. Data recovery tools are adopting continuous data protection methods, using real-time backups to enable recovery to specific points in time.

ISG's Methodology

ISG Software Research rates software providers in seven evaluation categories, including usability, manageability, reliability, capability, adaptability, validation, and total cost of ownership and return on investment (TCO/ROI). Providers ranked in the top three for each evaluation category are named as Leaders, with those having the most Leader rankings named as Overall Leaders.

The ISG Buyers Guides™ for Cybersecurity are the result of more than a year of market and product research efforts. They are not sponsored or influenced by software providers and are conducted solely to help enterprises optimize their business and IT software investments.

Conclusion

The ISG 2025 Buyers Guides for Cybersecurity provide valuable insights for investors and financial professionals seeking to understand the current state and future trends in enterprise cybersecurity software. The transformative impact of generative AI on cybersecurity tools is evident, and the report highlights the importance of staying informed about these advancements to make informed investment decisions.

References:
[1] https://www.businesswire.com/news/home/20250707503202/en/AI-Strengthening-Cybersecurity-Software-ISG-Says
[2] https://finance.yahoo.com/news/ai-strengthening-cybersecurity-software-isg-110000895.html