Increased Adoption of Agentic AI in Cybersecurity Operations
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The adoption of agentic AI in cybersecurity operations is rapidly increasing, with 57% of organizations implementing AI agents in the last two years. While AI helps manage large volumes of data and reduce mundane tasks, concerns remain about potential job displacement and the need for human oversight. AI is being used to enhance the efficiency of security operations centers (SOCs) and support analysts rather than replace them. However, there are risks associated with over-reliance on AI, including potential skill erosion and security vulnerabilities. The integration of AI in cybersecurity is seen as a way to handle the overwhelming amount of data and indicators of compromise (IoCs) that SOC teams face. AI can group and analyze data, making it easier for analysts to focus on high-end problems. However, experts warn that AI should not completely replace human involvement, as decisions made in the SOC require a thoughtful approach. Organizations are advised to balance the use of AI with human oversight to mitigate risks and ensure consistent, repeatable outcomes.
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14.08.2025 23:41 đ° 1 articles
Rapid Adoption of Agentic AI in Cybersecurity Operations
The use of agentic AI in cybersecurity operations has seen significant growth, with 57% of organizations implementing AI agents in the last two years. AI is being used to manage large volumes of data and support analysts, but concerns remain about potential job displacement and the need for human oversight. Experts warn about the risks of over-reliance on AI, including skill erosion and security vulnerabilities. The integration of AI in SOCs is seen as a way to enhance efficiency and support analysts, but a balanced approach is advised.
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- Agentic AI Use Cases for Security Soar, but Risks Demand Close Attention â www.darkreading.com â 14.08.2025 23:41
Information Snippets
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57% of organizations have implemented AI agents in the last two years, with 96% planning to expand their use in the next 12 months.
First reported: 14.08.2025 23:41đ° 1 source, 1 articleShow sources
- Agentic AI Use Cases for Security Soar, but Risks Demand Close Attention â www.darkreading.com â 14.08.2025 23:41
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AI is used to manage large volumes of data and reduce mundane tasks in SOCs, allowing analysts to focus on high-end problems.
First reported: 14.08.2025 23:41đ° 1 source, 1 articleShow sources
- Agentic AI Use Cases for Security Soar, but Risks Demand Close Attention â www.darkreading.com â 14.08.2025 23:41
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AI can act as a mentor for junior analysts, identifying gaps and areas for training.
First reported: 14.08.2025 23:41đ° 1 source, 1 articleShow sources
- Agentic AI Use Cases for Security Soar, but Risks Demand Close Attention â www.darkreading.com â 14.08.2025 23:41
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CISOs face challenges in monitoring AI use and ensuring consistent outcomes, as well as potential skill erosion among teams.
First reported: 14.08.2025 23:41đ° 1 source, 1 articleShow sources
- Agentic AI Use Cases for Security Soar, but Risks Demand Close Attention â www.darkreading.com â 14.08.2025 23:41
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Over-reliance on AI can lead to security vulnerabilities and the risk of attackers targeting AI systems.
First reported: 14.08.2025 23:41đ° 1 source, 1 articleShow sources
- Agentic AI Use Cases for Security Soar, but Risks Demand Close Attention â www.darkreading.com â 14.08.2025 23:41
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AI is being used in bug bounty programs to find vulnerabilities faster and more efficiently.
First reported: 14.08.2025 23:41đ° 1 source, 1 articleShow sources
- Agentic AI Use Cases for Security Soar, but Risks Demand Close Attention â www.darkreading.com â 14.08.2025 23:41
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AI can help organizations understand and use their own technology more effectively, removing technical barriers.
First reported: 14.08.2025 23:41đ° 1 source, 1 articleShow sources
- Agentic AI Use Cases for Security Soar, but Risks Demand Close Attention â www.darkreading.com â 14.08.2025 23:41
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