August 6, 2025
5 min read
Mike Vizard
Cycode’s AI agent ranks vulnerabilities by exploitability, helping DevSecOps teams prioritize remediation faster and more effectively.
Cycode has launched an AI Exploitability Agent for its application security posture management (ASPM) platform, designed to accurately assess the exploitability of software vulnerabilities. This new agent aims to streamline vulnerability remediation by providing a risk-based prioritization, helping organizations focus on the most critical security flaws.
This innovation arrives at a crucial time, as the proliferation of AI coding tools has led to an increase in software vulnerabilities. Cycode estimates that approximately one security flaw is introduced for every 10,000 lines of code, with about 40% of AI-generated applications containing vulnerabilities. Furthermore, cybercriminals are increasingly using AI to accelerate the discovery and reverse engineering of these vulnerabilities, heightening the need for efficient vulnerability management.
The AI Exploitability Agent is part of Cycode's suite of AI Security Teammates, which also includes an AI Security Return on Investment (ROI) Calculator. Existing agents include the Change Impact Analysis Agent, which identifies risky code modifications in pull requests, and the Fix & Remediation Agent, which suggests code fixes by analyzing root causes. These agents leverage Cycode’s Risk Intelligence Graph (RIG) and support the Model Context Protocol (MCP), an emerging standard for AI agent integration, enabling seamless data sharing and correlation. The goal is to improve collaboration between development and security teams by providing context-aware vulnerability assessments that consider both code and runtime environments, moving beyond the limitations of legacy tools.
A recent survey indicated that organizations are prioritizing ASPM platforms and DevSecOps automation, with application security funding increasingly shared between development and security teams. As global regulations evolve, securing software supply chains will become even more critical, posing the question of how quickly and cost-effectively applications can be made more secure.
Frequently Asked Questions (FAQ)
Q: What is the primary function of Cycode's new AI Exploitability Agent? A: The AI Exploitability Agent assesses how exploitable a vulnerability truly is within an application, helping to prioritize remediation efforts. Q: What challenges in application security is Cycode addressing with these new AI agents? A: Cycode is addressing the increased number of vulnerabilities introduced by AI coding tools, the speed at which cybercriminals use AI to find vulnerabilities, and the need for more context-aware vulnerability assessment compared to traditional tools. Q: What other AI Security Teammates has Cycode released? A: Cycode has also released an AI Security Return on Investment (ROI) Calculator, a Change Impact Analysis Agent, and a Fix & Remediation Agent. Q: How do Cycode's AI agents gather information? A: These agents utilize Cycode’s Risk Intelligence Graph (RIG), which aggregates data from code repositories, workflows, secrets, dependencies, and cloud infrastructure assets. Q: What is the benefit of supporting the Model Context Protocol (MCP)? A: Support for MCP enables seamless data sharing and access between AI agents, allowing for correlated scans and consolidated alerts. Q: How do AI agents provide richer context than legacy security tools? A: AI agents analyze both the code and the runtime environment to better assess actual risk, unlike legacy tools that might flag code that is inaccessible or never loaded into memory. Q: How is funding for application security evolving? A: A recent survey suggests that funding is increasingly shared, with application development teams now sharing responsibility for application security alongside security budgets.Crypto Market AI's Take
The introduction of AI agents like Cycode's Exploitability Agent signifies a critical advancement in application security. As AI continues to accelerate development cycles and introduce new complexities, the ability to accurately assess and prioritize vulnerabilities is paramount. This mirrors the broader trend in the tech industry where AI is being integrated across various domains to enhance efficiency and intelligence. In the realm of finance and cryptocurrency, similar AI-driven solutions are crucial for navigating market volatility and ensuring robust security. Our platform leverages advanced AI for market analysis and trading, recognizing the transformative potential of these technologies to streamline complex processes and improve decision-making. For businesses looking to integrate sophisticated AI solutions, understanding the underlying principles of AI agent interaction and data aggregation, as exemplified by Cycode's RIG and MCP support, is key.More to Read:
- AI Agents: Revolutionizing Trading and Market Analysis
- The Future of Cybersecurity: AI's Role in Threat Detection