ペネトレーションテスト支援

Penetration Testing Support

Source description · Japanese

【案件名称：ペンテスト要員支援】・想定予算：スキル見合い・業　界：IT／セキュリティ・募集背景： - 下期に向けてのペンテスト体制の補強のため実務経験のあるペンテスト人材を募集。・業務内容： - ペネトレーションテスト案件の推進・実施 - プリセールス、シナリオ設計、テスト実施、報告会までのリード - Active Directory領域を中心としたペンテスト対応 - 必要に応じたWebアプリケーション診断対応 - 診断結果の取りまとめ、報告資料作成、顧客報告・必須要件： - ペンテストの実務経験 - ペンテスト案件をプリセールスから報告会までリードした経験 - 顧客・関係者と円滑にコミュニケーションできる方・尚可要件： - Active Directoryシナリオでのペンテスト経験 - Webアプリケーション診断経験 - Burp Suite等を用いた診断経験 - SQLインジェクション等の脆弱性診断知見 - リモートペンテスト環境の構築経験 - VPN、C2通信等を用いたリモートテスト環境整備の経験・勤務形態：リモート併用 ※月60％程度の出社目標。初期は出社多めが望ましい ※案件によりクライアント拠点への連続オンサイト作業の可能性あり（調整可能）・勤務場所：豊洲・稼働時間：1.0人月想定 ※0.5～0.6人月程度も検討可・稼働期間：2026年9月～2027年3月 ※10月開始も検討可・募集人数：1名

Deferred analysis

Augment a penetration testing team for a security firm: drive pentest projects from presales, scenario design, execution (Active Directory-centric, plus Web app assessment as needed), through to reporting and client briefings. Remote with ~60% office attendance target (Toyosu); 1.0 person-month expected (0.5–0.6 possible), period September 2026–March 2027.

Japan residency: Unknown
Japanese language: Unknown
Japanese company: Unknown
Human days: 18
AI hours: 50
AI input / output: 125000 / 40000 tokens
Version / date: offline-v1 / 2026-10-31T07:01:43.395552+00:00

Evidence, confidence & provider

{"provider": "atmorouter", "model": "atmo/deepseek-v4.1-flash", "confidence": 0.65, "evidence": {"title_en": "ペネトレーションテスト支援", "summary_en": "稼働時間：1.0人月想定 / 勤務場所：豊洲 / 稼働期間：2026年9月～2027年3月", "human_effort_min_days": "1.0人月想定", "ai_effort_hours": "1.0 person-month committed initial period, AI-assisted", "ai_input_tokens": "AI支援実行50時間 × 入力2,500トークン/時 の想定（実測ではない）", "ai_output_tokens": "AI支援実行50時間 × 出力800トークン/時 の想定（実測ではない）", "human_effort_max_days": "1.0人月想定"}}

Analysis assumptions

{"usage_kind": "estimated", "settings_version": 3, "settings_snapshot": {"version": 3, "model_label": "Sol 6.1 High", "input_usd_per_million": 2.0, "output_usd_per_million": 20.0, "usd_jpy": 157.881601, "human_day_hours": 8.0, "model_hourly_usd": null, "human_hourly_jpy": null, "human_day_jpy": null, "effective_at": "2026-10-30T18:05:00+07:00", "source": "Operator-specified (Commander): 2.00 USD input / 20.00 USD output per 1M tokens for Sol 6.1 High, described as the cheapest AtmoRouter pricing. FX USD/JPY 157.881601 from open.er-api.com (2026-10-30T00:02:31Z).", "approved": 1}, "formula_version": "ai-only-v1", "financial_bounds": {"revenue_min_jpy": null, "revenue_max_jpy": null, "profit_min_usd": null, "profit_max_usd": null, "profit_min_jpy": null, "profit_max_jpy": null}}

Previous validated analyses (2, latest 20)

2026-10-31T07:01:43.395552+00:00

{"source_job_id": "13339535", "title_en": "Penetration Testing Support", "summary_en": "Augment a penetration testing team for a security firm: drive pentest projects from presales, scenario design, execution (Active Directory-centric, plus Web app assessment as needed), through to reporting and client briefings. Remote with ~60% office attendance target (Toyosu); 1.0 person-month expected (0.5–0.6 possible), period September 2026–March 2027.", "japan_resident_required": null, "japanese_language_required": null, "japanese_company_required": null, "human_effort_min_days": 18.0, "human_effort_max_days": null, "ai_effort_hours": 50.0, "ai_input_tokens": 125000, "ai_output_tokens": 40000, "ai_cost_usd": 1.05, "estimated_revenue_jpy": null, "profit_jpy": null, "profit_usd": null, "assumptions_json": "{\"usage_kind\": \"estimated\", \"settings_version\": 3, \"settings_snapshot\": {\"version\": 3, \"model_label\": \"Sol 6.1 High\", \"input_usd_per_million\": 2.0, \"output_usd_per_million\": 20.0, \"usd_jpy\": 157.881601, \"human_day_hours\": 8.0, \"model_hourly_usd\": null, \"human_hourly_jpy\": null, \"human_day_jpy\": null, \"effective_at\": \"2026-10-30T18:05:00+07:00\", \"source\": \"Operator-specified (Commander): 2.00 USD input / 20.00 USD output per 1M tokens for Sol 6.1 High, described as the cheapest AtmoRouter pricing. FX USD/JPY 157.881601 from open.er-api.com (2026-10-30T00:02:31Z).\", \"approved\": 1}, \"formula_version\": \"ai-only-v1\", \"financial_bounds\": {\"revenue_min_jpy\": null, \"revenue_max_jpy\": null, \"profit_min_usd\": null, \"profit_max_usd\": null, \"profit_min_jpy\": null, \"profit_max_jpy\": null}}", "provenance_json": "{\"provider\": \"atmorouter\", \"model\": \"atmo/deepseek-v4.1-flash\", \"confidence\": 0.65, \"evidence\": {\"title_en\": \"ペネトレーションテスト支援\", \"summary_en\": \"稼働時間：1.0人月想定 / 勤務場所：豊洲 / 稼働期間：2026年9月～2027年3月\", \"human_effort_min_days\": \"1.0人月想定\", \"ai_effort_hours\": \"1.0 person-month committed initial period, AI-assisted\", \"ai_input_tokens\": \"AI支援実行50時間 × 入力2,500トークン/時 の想定（実測ではない）\", \"ai_output_tokens\": \"AI支援実行50時間 × 出力800トークン/時 の想定（実測ではない）\"}}", "source_hash": "d2bf10ca9c5aef1fd18cabffa4d5684867858e798aa09d16db3143621961d333", "analyzed_at": "2026-10-31T05:58:43.951106+00:00", "analysis_version": "offline-v1"}

2026-10-31T05:58:43.951106+00:00

{"source_job_id": "13339535", "title_en": null, "summary_en": null, "japan_resident_required": null, "japanese_language_required": null, "japanese_company_required": null, "human_effort_min_days": null, "human_effort_max_days": null, "ai_effort_hours": null, "ai_input_tokens": null, "ai_output_tokens": null, "ai_cost_usd": null, "estimated_revenue_jpy": null, "profit_jpy": null, "profit_usd": null, "assumptions_json": "{\"settings_version\": 3, \"settings_snapshot\": {\"version\": 3, \"model_label\": \"Sol 6.1 High\", \"input_usd_per_million\": 2.0, \"output_usd_per_million\": 20.0, \"usd_jpy\": 157.881601, \"human_day_hours\": 8.0, \"model_hourly_usd\": null, \"human_hourly_jpy\": null, \"human_day_jpy\": null, \"effective_at\": \"2026-10-30T18:05:00+07:00\", \"source\": \"Operator-specified (Commander): 2.00 USD input / 20.00 USD output per 1M tokens for Sol 6.1 High, described as the cheapest AtmoRouter pricing. FX USD/JPY 157.881601 from open.er-api.com (2026-10-30T00:02:31Z).\", \"approved\": 1}, \"formula_version\": \"ai-only-v1\", \"financial_bounds\": {\"revenue_min_jpy\": null, \"revenue_max_jpy\": null, \"profit_min_usd\": null, \"profit_max_usd\": null, \"profit_min_jpy\": null, \"profit_max_jpy\": null}}", "provenance_json": "{\"provider\": \"manual\", \"model\": \"beam-free\", \"confidence\": 0.5, \"evidence\": {}}", "source_hash": "d2bf10ca9c5aef1fd18cabffa4d5684867858e798aa09d16db3143621961d333", "analyzed_at": "2026-10-31T03:55:00.969851+00:00", "analysis_version": "offline-v1"}