NVIDIA and AWS are employing GenAI to help security teams identify, analyze, and respond to software vulnerabilities faster and efficiently.
NVIDIA Agent Morpheus uses large language models to scan software for vulnerabilities, prioritize threats, and generate remediation plans. By automating tedious manual processes, the AI system reduces vulnerability triage time from hours to minutes. NVIDIA’s system processes 20 vulnerabilities in under five minutes and scans thousands of containers daily, helping analysts manage growing security threats at scale.
AWS has also integrated GenAI into its security pipeline with Amazon Bedrock and Inspector. The AI-driven system scans Python, Java, and JavaScript applications, flags vulnerabilities, and even generates pull requests for fixes in GitHub. This automation reduces human workload and ensures a continuous security cycle, where AI repeatedly scans and refines code until all vulnerabilities are addressed. While AI streamlines threat management, human analysts remain essential for final decision-making, ensuring that patches do not introduce unintended software issues.
GenAI is redefining cybersecurity by accelerating vulnerability detection, reducing analyst workload, and improving response times. NVIDIA and AWS demonstrate how AI-powered agents can manage security risks more efficiently, helping enterprises proactively defend against cyber threats. As AI adoption grows, organizations will increasingly rely on autonomous systems to enhance security while maintaining human oversight for critical decision-making.