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Cycode Delivers AI Agent to Assess How Exploitable Vulnerabilities Are
DevSecOps

Cycode Delivers AI Agent to Assess How Exploitable Vulnerabilities Are

Cycode’s new AI agent assesses vulnerability exploitability, helping DevSecOps teams prioritize remediation faster and smarter.

August 6, 2025
5 min read
Mike Vizard

Cycode’s new AI agent assesses vulnerability exploitability, helping DevSecOps teams prioritize remediation faster and smarter.

Cycode has introduced an AI agent to its application security posture management (ASPM) platform that is specifically trained 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 to analyze the impact of AI on various DevSecOps use cases. Devin Maguire, senior product marketing manager at Cycode, explained that the AI Exploitability Agent simplifies prioritization of remediation efforts by evaluating the risk level each vulnerability poses to an organization. This innovation comes at a critical time when AI coding tools are generating more vulnerabilities than ever. Cycode estimates that one security flaw is created for every 10,000 lines of code written, with approximately 40% of AI-generated applications containing some form of vulnerability. More concerning is that cybercriminals are increasingly using AI to discover and reverse engineer these vulnerabilities, leveraging the same advanced capabilities now available to DevSecOps teams. The AI Exploitability Agent is part of a broader suite of AI Security Teammates introduced 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 integrate with Cycode’s Risk Intelligence Graph (RIG), which aggregates data from code repositories, workflows, secrets, dependencies, and cloud infrastructure assets. Support for the Model Context Protocol (MCP), an emerging AI agent integration standard originally developed by Anthropic, enables these agents to access and share data seamlessly. This allows correlation of scans and consolidation of 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 more accurately assess risk. A recent Futurum Group survey highlights that investments in ASPM platforms, DevSecOps automation, and orchestration are top priorities for organizations. Interestingly, funding for these initiatives is increasingly shared, with only 21% of respondents reporting security budgets as the sole source. Half of the respondents indicated that application development teams now share responsibility for application security. As global regulations tighten, securing software supply chains will become even more critical. The pressing question is not if applications will become more secure, but how quickly and at what cost. Source: Cycode Delivers AI Agent to Assess How Exploitable Vulnerabilities Are on August 5, 2025

    Frequently Asked Questions (FAQ)

    About Cycode's AI Exploitability Agent

    Q: What is the primary function of Cycode's AI Exploitability Agent? A: The AI Exploitability Agent is designed to assess how exploitable a vulnerability found within an application truly is, helping to prioritize remediation efforts. Q: How does this AI agent help in vulnerability management? A: It simplifies prioritization by evaluating the specific risk level each vulnerability poses to an organization, enabling more effective allocation of security resources. Q: What is the context for Cycode's release of this AI agent? A: The agent is released at a time when AI coding tools are increasing the volume of vulnerabilities, and cybercriminals are also leveraging AI to exploit them. Q: What other AI Security Teammates has Cycode introduced? A: Alongside the AI Exploitability Agent, Cycode has released the Change Impact Analysis Agent and the Fix & Remediation Agent. Q: How do these AI agents integrate with Cycode's platform? A: They integrate with Cycode's Risk Intelligence Graph (RIG), which consolidates data from various sources like code repositories, dependencies, and cloud infrastructure. Q: What is the benefit of AI agents over traditional application security tools? A: AI agents provide richer context by analyzing both code and runtime environments, leading to more accurate risk assessments compared to legacy tools that might flag inaccessible code.

    Crypto Market AI's Take

    The introduction of Cycode's AI Exploitability Agent highlights the growing trend of leveraging AI to enhance cybersecurity. This focus on intelligent automation in identifying and prioritizing vulnerabilities is crucial, especially given the increasing complexity and speed of software development. At Crypto Market AI, we see a parallel in how AI is transforming various sectors, including finance and trading. Our platform utilizes advanced AI and machine learning models to provide market insights, automate trading strategies, and manage portfolios. Just as Cycode's agent helps prioritize security efforts, our AI analysts and trading bots aim to optimize investment decisions by identifying high-potential opportunities and managing risk. The proactive stance on security, driven by AI, is a testament to the evolving landscape where intelligent systems are becoming indispensable for navigating complex challenges. For those interested in how AI is reshaping industries, understanding these advancements in cybersecurity is as vital as understanding the AI-driven tools that are revolutionizing financial markets. Explore our insights into AI-driven crypto trading and discover how AI is being used to gain an edge in the fast-paced world of digital assets.

    More to Read:

  • Understanding AI Agents and Their Role in Modern Business
  • The Future of Cybersecurity: AI's Impact on Threat Detection
  • How to Maximize Your ROI with DevSecOps Automation