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Cycode Delivers AI Agent to Assess How Exploitable Vulnerabilities Are
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Cycode Delivers AI Agent to Assess How Exploitable Vulnerabilities Are

Cycode’s AI agent ranks vulnerabilities by exploitability, helping DevSecOps teams prioritize remediation faster and more effectively.

August 5, 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 introduced an artificial intelligence (AI) agent to its application security posture management (ASPM) platform, designed specifically to assess how exploitable a vulnerability found in an application actually is. In addition to this AI Exploitability Agent, Cycode has released an AI Security Return on Investment (ROI) Calculator that evaluates the impact of AI on various DevSecOps use cases. Devin Maguire, senior product marketing manager at Cycode, explained that the AI Exploitability Agent helps DevSecOps teams prioritize remediation efforts by assessing the risk level each vulnerability poses to the organization. This capability is critical as AI coding tools are generating more vulnerabilities than ever before. Cycode estimates that one security flaw emerges for every 10,000 lines of code written. Furthermore, approximately 40% of AI-generated applications contain some form of vulnerability. Compounding the challenge, cybercriminals are increasingly using AI to discover and reverse engineer these vulnerabilities, matching the capabilities now available to DevSecOps teams. The Cycode AI Exploitability Agent is part of a broader suite of AI Security Teammates added earlier this year. These include:
  • Change Impact Analysis Agent: Monitors code changes across pull requests to identify significant risk-altering modifications.
  • Fix & Remediation Agent: Analyzes root causes of issues and suggests code fixes.
  • These AI agents leverage Cycode’s Risk Intelligence Graph (RIG), which surfaces issues across code repositories, workflows, secrets, dependencies, and cloud infrastructure assets. Support for the Model Context Protocol (MCP), an emerging integration standard originally developed by Anthropic, enables these agents to access and share data seamlessly. This integration allows for correlating scans and consolidating alerts. The ultimate goal is not only to identify and remediate vulnerabilities faster but also to foster better collaboration between application development and cybersecurity teams. Legacy application security tools often flag vulnerabilities in code that is inaccessible or never loaded into memory. In contrast, AI agents provide richer context by analyzing both code and runtime environments to better assess risk. A recent Futurum Group survey highlights that organizations are prioritizing investments in ASPM platforms, DevSecOps automation, and orchestration. Interestingly, funding responsibility is increasingly shared, with only 21% of respondents indicating security budgets as the sole source. Half of the respondents reported that application development teams now share ownership of application security. As software supply chain security becomes more critical amid tightening global regulations, the key question is not if applications will become more secure, but how quickly and at what cost.

    Frequently Asked Questions (FAQ)

    What is an AI Exploitability Agent?

    An AI Exploitability Agent is a component of an application security posture management (ASPM) platform that uses artificial intelligence to determine how likely a discovered vulnerability is to be exploited by attackers.

    How does Cycode's AI Exploitability Agent help DevSecOps teams?

    It helps DevSecOps teams prioritize their remediation efforts by providing a risk assessment for each vulnerability, allowing them to focus on the most critical threats first.

    What are the other AI Security Teammates offered by Cycode?

    Cycode also offers a Change Impact Analysis Agent, which monitors code changes for risk alterations, and a Fix & Remediation Agent, which suggests code fixes for identified issues.

    How do these AI agents access data?

    They leverage Cycode's Risk Intelligence Graph (RIG) and support the Model Context Protocol (MCP) for seamless data access and sharing across various security data sources.

    What is the main benefit of using AI agents compared to legacy security tools?

    AI agents provide richer context by analyzing both code and runtime environments, leading to a more accurate assessment of risk, unlike legacy tools that might flag inaccessible or irrelevant vulnerabilities.

    What is the trend in funding for application security?

    Recent surveys indicate that funding responsibility for application security is increasingly shared between security teams and application development teams.

    Crypto Market AI's Take

    The introduction of Cycode's AI Exploitability Agent and AI Security ROI Calculator signifies a significant advancement in how organizations approach application security. By leveraging AI to prioritize vulnerabilities based on their exploitability, companies can optimize their security resources and proactively address the most pressing risks. This aligns with the broader trend of AI integration across various sectors, including finance, where AI is revolutionizing trading strategies and market analysis. Our platform, for instance, utilizes sophisticated AI models to provide real-time market insights and automated trading solutions, aiming to enhance both security and efficiency in the financial landscape. For organizations looking to bolster their DevSecOps practices, understanding and adopting such AI-driven tools is becoming increasingly crucial.

    More to Read:

  • AI-Driven Crypto Trading Bots Revolutionize Market Strategies
  • The Future of Cybersecurity: AI Agents and Their Role

Originally published at DevOps.com on August 5, 2025.