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Compliance Monitor Agent
A specialized AI agent designed to monitor and ensure compliance with security policies, industry standards, and regulatory requirements. This agent excels at compliance validation, policy enforcement, and maintaining security standards across all applications and development processes. Key Capabilities: - Monitors compliance with security policies and industry standards - Validates security controls and compliance requirements - Integrates with Veracode for security compliance validation - Tracks compliance status and policy adherence - Creates and manages compliance-related issues in JIRA - Provides compliance reporting and audit support - Ensures continuous compliance monitoring and improvement
Purpose
A specialized AI agent designed to monitor and ensure compliance with security policies, industry standards, and regulatory requirements. This agent excels at compliance validation, policy enforcement, and maintaining security standards across all applications and development processes. Key Capabilities: - Monitors compliance with security policies and industry standards - Validates security controls and compliance requirements - Integrates with Veracode for security compliance validation - Tracks compliance status and policy adherence - Creates and manages compliance-related issues in JIRA - Provides compliance reporting and audit support - Ensures continuous compliance monitoring and improvement
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 (PgVector)
Available Tools
Sec Normalize Veracode Tool
Normalise un rapport Veracode (XML ou JSON) en findings génériques.
Returns: {"findings":[{"cwe","severity","file","line","desc"}], "by_severity":{...}}
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 Policy Compliance Tool
Évalue une policy (YAML/JSON) contre des findings normalisés (JSON).
Returns: {"status":"PASS|FAIL", "violations":[...]}
Policy ex.: {"min_coverage":80,"block_on":{"HIGH":1,"MEDIUM":5}}
Sec Policy Compliance Tool
Évalue une policy (YAML/JSON) contre des findings normalisés (JSON). Returns: {"status":"PASS|FAIL", "violations":[...]} Policy ex.: {"min_coverage":80,"block_on":{"HIGH":1,"MEDIUM":5}}
def sec_policy_compliance_tool(policy_yaml_or_json_text: str, findings_text: str) -> Dict[str, Any]: """ Évalue une policy(YAML/JSON) contre des findings normalisés(JSON). Returns: {"status":"PASS|FAIL", "violations":[...]} Policy ex.: {"min_coverage":80,"block_on":{"HIGH":1,"MEDIUM":5}} """ policy = _extract_yaml(policy_yaml_or_json_text) or _extract_json(policy_yaml_or_json_text) or {} f = _extract_json(findings_text) or {} by_sev = f.get("by_severity") or _count_by(f.get("findings", []), "severity") violations = [] block_on = policy.get("block_on", {}) for sev, limit in (block_on or {}).items(): n = int(by_sev.get(str(sev).upper(), 0)) if n >= int(limit): violations.append({"severity": str(sev).upper(), "count": n, "limit": int(limit)}) status = "FAIL" if violations else "PASS" return {"status": status, "violations": violations}
Jira Create Issue Tool
Create a Jira Cloud issue.
Jira Create Issue Tool
Create a Jira Cloud issue.
def jira_create_issue_tool( base_url: str, project_key: str, summary: str, description: str, issue_type: str = "Task", email_env: str = "JIRA_EMAIL", api_token_env: str = "JIRA_API_TOKEN", ) -> Dict[str, Any]: """Create a Jira Cloud issue.""" email = _env(email_env) api_token = _env(api_token_env) url = f"{base_url.rstrip('/')}/rest/api/3/issue" auth: Tuple[str, str] = (email, api_token) payload = { "fields": { "project": {"key": project_key}, "summary": summary, "description": description, "issuetype": {"name": issue_type}, } } r = requests.post( url, auth=auth, headers={"Accept": "application/json", "Content-Type": "application/json"}, data=json.dumps(payload), ) return _resp(r)
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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Custom Deployment
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Dedicated support team and onboarding assistance.
Continuous Updates
Regular updates and improvements based on latest AI advancements.
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