Staying Ahead Of Adversarial AI With Incident Response Automation
Medium, Monday, July 1st, 2024
A Security Engineering Commentary from industry insider Rohan Bafna , SecOps Engineer.
The security operations (SecOps) community constantly seeks advancements in incident response. Consolidating security telemetry data, upgrading your organization's cybersecurity posture, and integrating with various artificial intelligence (AI) and machine learning (ML) engines are essential to combatting adversarial AI and ML models.
Hackers will continue to have the upper hand without innovation, including adopting proactive measures and natural language processing (NLP) in the SecOps space. Powered by WormGPT and FraudGPT, hackers and scammers will continue to drive the cost of business higher as organizations pay more for cyber insurance.
This blog discusses the need to phase out traditional security measures and the need to adopt various automation, adaptation control, and processes SecOps teams can use to combat adversarial AI.