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[2602.21267] A Systematic Review of Algorithmic Red Teaming Methodologies for Assurance and Security of AI Applications
Summary
This systematic review explores automated red teaming methodologies for enhancing the security of AI applications, addressing the limitations of traditional manual approaches.
Why It Matters
As cyber threats evolve, organizations must adopt advanced security measures. This review highlights how automated red teaming can improve vulnerability assessments, making it essential for maintaining robust cybersecurity in AI systems.
Key Takeaways
- Automated red teaming enhances the efficiency and scalability of security assessments.
- The review identifies current trends and challenges in automated red teaming methodologies.
- It highlights research gaps and future directions for improving cybersecurity strategies.
- Automation in red teaming can significantly reduce resource consumption compared to manual methods.
- Understanding these methodologies is crucial for organizations aiming to strengthen their cybersecurity posture.
Computer Science > Cryptography and Security arXiv:2602.21267 (cs) [Submitted on 24 Feb 2026] Title:A Systematic Review of Algorithmic Red Teaming Methodologies for Assurance and Security of AI Applications Authors:Shruti Srivastava, Kiranmayee Janardhan, Shaurya Jauhari View a PDF of the paper titled A Systematic Review of Algorithmic Red Teaming Methodologies for Assurance and Security of AI Applications, by Shruti Srivastava and 2 other authors View PDF Abstract:Cybersecurity threats are becoming increasingly sophisticated, making traditional defense mechanisms and manual red teaming approaches insufficient for modern organizations. While red teaming has long been recognized as an effective method to identify vulnerabilities by simulating real-world attacks, its manual execution is resource-intensive, time-consuming, and lacks scalability for frequent assessments. These limitations have driven the evolution toward auto-mated red teaming, which leverages artificial intelligence and automation to deliver efficient and adaptive security evaluations. This systematic review consolidates existing research on automated red teaming, examining its methodologies, tools, benefits, and limitations. The paper also highlights current trends, challenges, and research gaps, offering insights into future directions for improving automated red teaming as a critical component of proactive cybersecurity strategies. By synthesizing findings from diverse studies, this review aims to provide ...