Cycode AI Released
July 30, 2024

Cycode unveiled Cycode AI, a suite of AI-powered features that are now embedded in the company’s Complete ASPM platform.

This transformative integration empowers security teams and developers to dramatically increase productivity, accelerate velocity, and gain unprecedented visibility into risk-prone gaps across the entire organization, effectively mitigating the growing threat of sophisticated code-driven attacks.

Cycode AI empowers security professionals and developers to proactively defend against evolving threats by:

- Effortlessly Querying Complex Data and Swiftly Identify Threats: Leverage natural language processing within the Risk Intelligence Graph for intuitive, AI-powered insights and data-driven decisions.

- Monitoring Critical Code Changes in Real Time: Receive automatic alerts about potential risks from the Material Code Change Alerting AI, ensuring swift mitigation and codebase integrity.

- Generating Precise Regex Patterns: Streamline threat identification with the AI Regex Builder, which automatically creates effective regex patterns, reducing false positives and negatives.

- Detecting Secrets with Unparalleled Accuracy: Enhance your security posture with AI Secret Detection, leveraging advanced machine learning to identify generic secrets with exceptional precision and recall.

- Fixing Vulnerabilities with Intelligent Code Suggestions & Context: Leverage AI-powered Static Application Security Testing (SAST) to receive automatic, context-aware code fixes, reducing remediation time and enabling faster development cycles.

- Maintaining Security and Compliance: Ensure code quality and security standards are upheld while maintaining a rapid development pace.

- Comprehensive Visibility and Discovery of AI Code Usage

- Uncovering and Tracking AI Activity: Gain comprehensive visibility into AI tool usage across your organization, identifying and monitoring AI-related activities in code repositories, CI/CD pipelines, and cloud infrastructure.

- Detecting and Mitigating Shadow AI Risks: Uncover ungoverned or unauthorized AI usage, enabling proactive risk mitigation and ensuring responsible AI adoption.

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