AI統合XDRベンダーを分析し、Excelレポートを生成する

import pandas as pd # Data for the table data = [ ["Cato Networks", "Cato XDR", "SASE-native XDR with AI-driven network traffic analysis", "AI correlates network, endpoint, and cloud telemetry in real time. Example: AI detects anomalous lateral movement by analyzing NetFlow data and user behavior, then automatically blocks the infected device."], ["Cisco", "Cisco XDR (with SecureX)", "Unified visibility across network, endpoint, and cloud with AI-assisted threat prioritization", "AI ingests telemetry from firewalls, endpoints, and email to reduce false positives. Example: AI scores alerts based on MITRE ATT&CK mapping, prioritizing a rare PowerShell command chain over common benign events."], ["CrowdStrike", "Falcon XDR", "Cloud-native AI with behavioral analytics and threat graph", "AI processes billions of endpoint events daily, using graph analysis to link seemingly unrelated telemetry. Example: AI identifies a credential theft pattern by correlating login anomalies with process execution, triggering an automated response."], ["Elastic Security XDR", "Elastic Security", "Open and flexible AI with search-powered analytics", "AI leverages Elasticsearch to query and correlate telemetry across hosts, network, and cloud. Example: AI uses machine learning to detect unusual DNS tunneling by analyzing query volume and entropy, then generates a case for investigation."], ["Fortinet", "FortiXDR", "AI-driven automation with FortiGuard threat intelligence", "AI integrates telemetry from FortiGate, FortiEDR, and email security to orchestrate response. Example: AI detects a ransomware outbreak by correlating file encryption events across endpoints and network, then isolates affected hosts automatically."], ["Google Cloud (Mandiant Advantage XDR)", "Mandiant Advantage XDR", "AI with Mandiant frontline expertise and threat intelligence", "AI enriches telemetry with global threat intel to prioritize incidents. Example: AI matches a suspicious process hash against Mandiant's database, flags it as a known APT tool, and provides remediation steps."], ["Microsoft (Microsoft 365 Defender XDR)", "Microsoft 365 Defender", "AI integrated with identity, endpoint, and cloud apps", "AI uses graph-based correlation across signals like email, identity, and endpoints. Example: AI detects a phishing email that leads to a malicious login, then automatically resets the user's password and blocks the session."], ["Palo Alto Networks", "Cortex XDR", "AI with behavioral analytics and deep learning", "AI fuses telemetry from endpoints, network, and cloud, using deep learning for anomaly detection. Example: AI identifies a zero-day exploit by analyzing unusual process memory patterns, then creates a custom prevention rule."], ["SentinelOne", "SentinelOne XDR", "Autonomous AI with real-time prevention and response", "AI processes telemetry on-device and in-cloud to detect threats instantly. Example: AI detects a fileless attack by monitoring script execution in memory, then rolls back the system to a pre-attack state."], ["Sophos", "Sophos XDR", "AI with synchronized security and managed threat response", "AI correlates telemetry from Sophos products and third-party sources. Example: AI detects a compromised account by analyzing VPN login times and endpoint activity, then triggers multi-factor authentication enforcement."], ["Symantec", "Symantec XDR (by Broadcom)", "AI with global threat intelligence and data loss prevention", "AI integrates telemetry from endpoints, email, and web to detect advanced threats. Example: AI identifies data exfiltration by correlating unusual outbound traffic with sensitive file access, then blocks the transfer."], ["Trellix", "Trellix XDR", "AI with open architecture and automated investigation", "AI ingests telemetry from various sources, using machine learning to automate triage. Example: AI correlates endpoint alerts with network flows to identify a multi-stage attack, then generates a detailed incident timeline."], ["VMware Carbon Black Cloud XDR", "Carbon Black Cloud XDR", "AI with behavioral prevention and enterprise-wide visibility", "AI analyzes telemetry from endpoints and workloads, using behavioral models to detect threats. Example: AI detects a ransomware attack by observing mass file encryption, then isolates the endpoint and blocks the process."] ] # Create DataFrame df = pd.DataFrame(data, columns=["Company", "Product with AI", "Unique AI Feature", "AI Telemetry Handling with Example"]) # Clean text: remove brackets, quotes, and HTML-like content def clean_text(text): text = text.replace("{", "").replace("}", "") text = text.replace("'", "") text = text.replace('"', "") text = text.replace("<", "").replace(">", "") return text df = df.applymap(clean_text) # Write to Excel file_name = "AI_XDR_Vendors_Comparison.xlsx" with pd.ExcelWriter(file_name, engine="openpyxl") as writer: df.to_excel(writer, sheet_name="XDR AI Comparison", index=False) # Format columns for better readability worksheet = writer.sheets["XDR AI Comparison"] worksheet.column_dimensions["A"].width = 30 worksheet.column_dimensions["B"].width = 35 worksheet.column_dimensions["C"].width = 50 worksheet.column_dimensions["D"].width = 80 for row in worksheet.iter_rows(min_row=1, max_row=worksheet.max_row, min_col=1, max_col=4): for cell in row: cell.alignment = cell.alignment.copy(wrap_text=True, vertical="top") print(f"Excel file created: {file_name}")