Vulnerability Scanner Agent

A specialized AI agent designed to scan and analyze software applications for security vulnerabilities using advanced security scanning tools and techniques. This agent excels at identifying security risks, analyzing vulnerability data, and providing actionable security insights to protect applications and systems. Key Capabilities: - Scans applications using Snyk for dependency and code vulnerabilities - Analyzes vulnerability data and provides risk assessment - Identifies security issues across different vulnerability categories - Prioritizes vulnerabilities based on severity and impact - Integrates with security tools for comprehensive vulnerability management - Provides detailed vulnerability reports and remediation guidance - Maintains security scanning coverage across all application components

LIVE

Test Agent

Purpose

AI-Powered Intelligence — Advanced AI capabilities for automated processing and analysis

Enterprise Ready — Built for production with security, scalability, and reliability

Seamless Integration — Easy to integrate with your existing systems and workflows

Agent Capabilities

This agent is equipped with the following advanced capabilities:

Knowledge Base

Vector search & retrieval

Knowledge (NoneType)

Available Tools

Sec Comprehensive Scan Tool

Comprehensive security scan analysis tool that can handle multiple scan formats. Returns: {"findings":[{"type","severity","file","line","desc","tool"}], "by_severity":{...}}

def sec_comprehensive_scan_tool(scan_data: str) -> Dict[str, Any]:
    """
    Comprehensive security scan analysis tool that can handle multiple scan formats.
    Returns: {"findings":[{"type","severity","file","line","desc","tool"}], "by_severity":{...}}
    """
    try:
        data = _extract_json(scan_data) or {}
        findings = []

        if "vulnerabilities" in data:
            for v in data.get("vulnerabilities", []):
                findings.append({
                    "type": v.get("type", "vulnerability"),
                    "severity": (v.get("severity") or "LOW").upper(),
                    "file": v.get("file") or v.get("path") or "",
                    "line": v.get("line") or v.get("lineNumber"),
                    "desc": v.get("description") or v.get("title") or "",
                    "tool": v.get("tool") or "unknown",
                })
        elif "results" in data:
            for r in data.get("results", []):
                findings.append({
                    "type": "security_issue",
                    "severity": (r.get("severity") or "LOW").upper(),
                    "file": r.get("fileName") or r.get("path") or "",
                    "line": r.get("line") or r.get("lineNumber"),
                    "desc": r.get("description") or r.get("resultDescription") or "",
                    "tool": "security_scanner",
                })

        return {"findings": findings, "by_severity": _count_by(findings, "severity")}
    except Exception as e:
        return {"findings": [], "by_severity": {}, "error": str(e)}

Sec Normalize Veracode Tool

Normalise un rapport Veracode (XML ou JSON) en findings génériques. Returns: {"findings":[{"cwe","severity","file","line","desc"}], "by_severity":{...}}

def sec_normalize_veracode_tool(xml_or_json_text: str) -> Dict[str, Any]:
    """
    Normalise un rapport Veracode(XML ou JSON) en findings génériques.
    Returns: {"findings":[{"cwe","severity","file","line","desc"}], "by_severity":{...}}
    """
    data = _extract_json(xml_or_json_text)
    findings = []
    if data:
        for f in data.get("findings", []):
            findings.append({
                "cwe": f.get("cwe"),
                "severity": (f.get("severity") or "LOW").upper(),
                "file": f.get("file"),
                "line": f.get("line"),
                "desc": f.get("desc"),
            })
        return {"findings": findings, "by_severity": _count_by(findings, "severity")}
    try:
        root = ET.fromstring(xml_or_json_text)
        for flaw in root.findall(".//flaw"):
            findings.append({
                "cwe": flaw.attrib.get("cweid"),
                "severity": str(flaw.attrib.get("severity") or "0"),
                "file": flaw.attrib.get("sourcefilepath") or flaw.attrib.get("module") or "",
                "line": flaw.attrib.get("line"),
                "desc": flaw.attrib.get("description") or "",
            })
        for f in findings:
            try:
                sev = int(f["severity"])
                f["severity"] = "HIGH" if sev >= 4 else "MEDIUM" if sev == 3 else "LOW"
            except Exception:
                f["severity"] = str(f["severity"]).upper()
    except Exception:
        pass
    return {"findings": findings, "by_severity": _count_by(findings, "severity")}

Sec Normalize Checkmarx Tool

Normalise un rapport Checkmarx JSON. Returns: {"findings":[{"query","severity","file","line","desc"}], "by_severity":{...}}

def sec_normalize_checkmarx_tool(json_text: str) -> Dict[str, Any]:
    """
    Normalise un rapport Checkmarx JSON.
    Returns: {"findings":[{"query","severity","file","line","desc"}], "by_severity":{...}}
    """
    data = _extract_json(json_text) or {}
    findings = []
    for r in data.get("results", []):
        findings.append({
            "query": r.get("queryName") or r.get("queryID"),
            "severity": (r.get("severity") or "LOW").upper(),
            "file": r.get("fileName") or r.get("path"),
            "line": r.get("line"),
            "desc": r.get("description") or r.get("resultDescription") or "",
        })
    return {"findings": findings, "by_severity": _count_by(findings, "severity")}

Reasoning Tools

ReasoningTools from agno framework

Required Inputs

Generated Outputs

Business Value

• Automated processing reduces manual effort and improves accuracy

• Consistent validation logic ensures compliance and audit readiness

• Early detection of issues minimizes downstream risks and costs

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Pricing

Get in touch for a tailored pricing

Custom Deployment

Tailored to your organization's specific workflows and requirements.

Enterprise Support

Dedicated support team and onboarding assistance.

Continuous Updates

Regular updates and improvements based on latest AI advancements.

For enterprise deployments.

€Custom

one time payment

plus local taxes

Contact Sales

Tailored solutions — Custom pricing based on your organization's size and usage requirements.

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