Source: https://bestagentsfor.com/ja/ai-agents-for/pentesting/ Markdown: https://bestagentsfor.com/ja/ai-agents-for/pentesting/index.md Title: おすすめのAIペネトレーションテスト (2026) | Best Agents For - ホーム - /エージェント - /おすすめのAIペネトレーションテスト # おすすめのAIペネトレーションテスト AIペネトレーションテストは悪用できる穴を探し、証拠を残します。XBOWとPenteraが製品です。NodeZeroの価格はAWS Marketplaceの数字です。 9 製品。料金と説明の確認日は 2026年10月5日。 ## おすすめのAIペネトレーションテスト の比較 価格は各社が公開している開始価格です。無料プランや試用は、価格ページに書いてあるときだけ載せます。 製品 料金 無料プランまたは試用 主な機能 連携 向いている用途 利用者の声 #1 Not published 記載なし Agentic SOC for alert investigation and threat hunting. Splunk, Microsoft Sentinel, Microsoft Defender, CrowdStrike SOC teams that want machine-scale alert investigation and hunting without replacing analysts. 出典付きのコメントはありません。 #2 From $25,000 / 12 months on AWS Marketplace 記載なし Autonomous production attack-path testing. None named on the pages we opened Teams that want continuous internal, cloud, and identity attack-path validation in production. r/Pentestingのコメントは、NodeZeroの標準階層を資産ごとの継続テストで、交渉の余地がある、と書いています。 #3 Free 無料プラン Autonomous security from code to production. Jira, Linear, Drata, Vanta Engineering teams that want AppSec findings turned into pull requests, plus proof of what is exploitable. 出典付きのコメントはありません。 #4 Not published 記載なし Autonomous offensive security that proves exploitability. None named on the pages we opened Security teams that want continuous, proof-of-exploit testing of web apps and APIs. r/Pentestingのコメントは、XBOWを動いているアプリケーションを攻める道具の仲間に入れ、ペネトレーションテストとして売られるコードスキャナよりそちらを好む、と書いています。 #5 Not published 記載なし AI exposure validation with remediation and retesting. None named on the pages we opened Enterprises that want validated attack paths and a retest after remediation. 出典付きのコメントはありません。 #6 Not published 記載なし Continuous offensive testing across the stack. None named on the pages we opened Product teams that want pentest-style findings on each deployment instead of an annual test. 出典付きのコメントはありません。 #7 Not published 記載なし Agentic AI SOC analyst, hunter, and detection engineer. None named on the pages we opened SOCs that want every alert investigated and still want a human check on malicious verdicts. 出典付きのコメントはありません。 #8 Not published 記載なし AI SOC platform for triage, investigation, and response. None named on the pages we opened Security operations teams that want agentic response with an override still available. 出典付きのコメントはありません。 #9 Not published 記載なし AI SOC that investigates every alert. None named on the pages we opened Enterprise SOCs that want forensic triage of the full alert queue. 出典付きのコメントはありません。 ## ランキング 仕事への適合、自律性、制御、連携、始めやすさ、情報の公開度で並べています。 # エージェント 向いている用途 料金 無料プラン 自律度 連携 スコア 1 Dropzone AI SOC teams that want machine-scale alert investigation and hunting without replacing analysts. Not published なし Semi-autonomous Splunk, Microsoft Sentinel, Microsoft Defender +5 - Fit for the job25/30 - Autonomy13/20 - Controls12/15 - Integrations15/15 - Access4/10 - Evidence9/10 2 Horizon3.ai NodeZero Teams that want continuous internal, cloud, and identity attack-path validation in production. From $25,000 / 12 months on AWS Marketplace なし Autonomous None named on the pages we opened - Fit for the job28/30 - Autonomy17/20 - Controls11/15 - Integrations4/15 - Access8/10 - Evidence9/10 3 Aikido Engineering teams that want AppSec findings turned into pull requests, plus proof of what is exploitable. Free あり Autonomous Jira, Linear, Drata +1 - Fit for the job21/30 - Autonomy17/20 - Controls11/15 - Integrations9/15 - Access10/10 - Evidence9/10 4 XBOW Security teams that want continuous, proof-of-exploit testing of web apps and APIs. Not published なし Autonomous None named on the pages we opened - Fit for the job29/30 - Autonomy17/20 - Controls11/15 - Integrations4/15 - Access4/10 - Evidence9/10 5 Pentera Enterprises that want validated attack paths and a retest after remediation. Not published なし Autonomous None named on the pages we opened - Fit for the job27/30 - Autonomy17/20 - Controls11/15 - Integrations4/15 - Access4/10 - Evidence9/10 6 RunSybil Product teams that want pentest-style findings on each deployment instead of an annual test. Not published なし Autonomous None named on the pages we opened - Fit for the job26/30 - Autonomy17/20 - Controls11/15 - Integrations4/15 - Access4/10 - Evidence9/10 7 Prophet Security SOCs that want every alert investigated and still want a human check on malicious verdicts. Not published なし Semi-autonomous None named on the pages we opened - Fit for the job24/30 - Autonomy13/20 - Controls12/15 - Integrations4/15 - Access4/10 - Evidence9/10 8 Torq Security operations teams that want agentic response with an override still available. Not published なし Semi-autonomous None named on the pages we opened - Fit for the job23/30 - Autonomy13/20 - Controls12/15 - Integrations4/15 - Access4/10 - Evidence9/10 9 Intezer Enterprise SOCs that want forensic triage of the full alert queue. Not published なし Semi-autonomous None named on the pages we opened - Fit for the job22/30 - Autonomy13/20 - Controls12/15 - Integrations4/15 - Access4/10 - Evidence9/10 順位 1 78 SOC teams that want machine-scale alert investigation and hunting without replacing analysts. - Fit for the job25/30 - Autonomy13/20 - Controls12/15 - Integrations15/15 - Access4/10 - Evidence9/10 順位 2 77 Teams that want continuous internal, cloud, and identity attack-path validation in production. - Fit for the job28/30 - Autonomy17/20 - Controls11/15 - Integrations4/15 - Access8/10 - Evidence9/10 順位 3 77 Engineering teams that want AppSec findings turned into pull requests, plus proof of what is exploitable. - Fit for the job21/30 - Autonomy17/20 - Controls11/15 - Integrations9/15 - Access10/10 - Evidence9/10 順位 4 74 Security teams that want continuous, proof-of-exploit testing of web apps and APIs. - Fit for the job29/30 - Autonomy17/20 - Controls11/15 - Integrations4/15 - Access4/10 - Evidence9/10 順位 5 72 Enterprises that want validated attack paths and a retest after remediation. - Fit for the job27/30 - Autonomy17/20 - Controls11/15 - Integrations4/15 - Access4/10 - Evidence9/10 順位 6 71 Product teams that want pentest-style findings on each deployment instead of an annual test. - Fit for the job26/30 - Autonomy17/20 - Controls11/15 - Integrations4/15 - Access4/10 - Evidence9/10 順位 7 66 SOCs that want every alert investigated and still want a human check on malicious verdicts. - Fit for the job24/30 - Autonomy13/20 - Controls12/15 - Integrations4/15 - Access4/10 - Evidence9/10 順位 8 65 Security operations teams that want agentic response with an override still available. - Fit for the job23/30 - Autonomy13/20 - Controls12/15 - Integrations4/15 - Access4/10 - Evidence9/10 順位 9 64 Enterprise SOCs that want forensic triage of the full alert queue. - Fit for the job22/30 - Autonomy13/20 - Controls12/15 - Integrations4/15 - Access4/10 - Evidence9/10 ## 価格、機能、要約 1 ### Dropzone AI SOC teams that want machine-scale alert investigation and hunting without replacing analysts. Dropzone AI is an agentic SOC platform whose AI SOC Analyst investigates alerts across the existing tool stack and whose AI Threat Hunter runs hypothesis-driven hunts. The site says it ships with 90-plus integrations across SIEM, EDR, cloud, identity, and email, and that analysts set strategy and authorize containment. Dropzone AIの料金と機能/Dropzone AIの代替 2 ### Horizon3.ai NodeZero Teams that want continuous internal, cloud, and identity attack-path validation in production. Horizon3.ai's NodeZero autonomously runs real attack techniques in production without agents, then shows how an attacker would move and what to fix. The company says NodeZero is not a scanner and that it has recorded zero downtime across its production tests. 利用者の声 r/Pentestingのコメントは、NodeZeroの標準階層を資産ごとの継続テストで、交渉の余地がある、と書いています。 r/cybersecurityで使った人は、期待外れで、ウェブアプリに弱く、足場を得ると騒がしい、と書いています。人のテスターの補完として扱っています。 - “I'd disagree, I was a bit disappointed with NodeZero. A comparison to Burp isn't even realistic though, since NZ doesn't have web app capabilities at this point (unless it's a public PoC for a particular software).”Reddit · u/MouseMajor1337 - “H3's standard tier MSRP is $50 per asset, but that price can be negotiated. Standard tier gets you continuous (unlimited) testing for all Assets along with other features.”Reddit · u/FrerBear Horizon3.ai NodeZeroの料金と機能/Horizon3.ai NodeZeroの代替 3 ### Aikido Engineering teams that want AppSec findings turned into pull requests, plus proof of what is exploitable. Aikido is a developer security platform that scans code, dependencies, secrets, and cloud, and runs agents that detect issues, open fix pull requests, deploy to staging, and verify the fix. Its Attack product autonomously attacks running applications, APIs, and infrastructure to prove what is exploitable. Aikidoの料金と機能/Aikidoの代替 4 ### XBOW Security teams that want continuous, proof-of-exploit testing of web apps and APIs. XBOW is an autonomous offensive security platform that explores applications and APIs, chains vulnerabilities into working attacks, and proves exploitability before a finding reaches the team. The company says more than 150 security teams use it, and that it was the first autonomous system to rank number one on HackerOne in June 2025. 利用者の声 r/Pentestingのコメントは、XBOWを動いているアプリケーションを攻める道具の仲間に入れ、ペネトレーションテストとして売られるコードスキャナよりそちらを好む、と書いています。 そのスレッドはカテゴリ自体に疑いを持っています。XBOWの名前付きの失敗は書いていません。 - “You should be choosing a tool that actually tests in runtime. Aka software like xbow, mindfort, etc.”Reddit · u/danielrabinovich XBOWの料金と機能/XBOWの代替 5 ### Pentera Enterprises that want validated attack paths and a retest after remediation. Pentera is an exposure-validation platform that emulates real attacks in live production, prioritizes what is exploitable, and can orchestrate remediation and retest the fix. It says it covers internal networks, external assets, cloud, and hybrid environments and supports all five stages of continuous threat exposure management. Penteraの料金と機能/Penteraの代替 6 ### RunSybil Product teams that want pentest-style findings on each deployment instead of an annual test. RunSybil is an AI offensive-security platform that tests applications and infrastructure by reasoning about the system the way a human researcher would, on every deployment. It says it covers code, APIs, cloud, and infrastructure, including business-logic and multi-tenant issues, and that it validates whether exposures are actually exploitable. RunSybilの料金と機能/RunSybilの代替 7 ### Prophet Security SOCs that want every alert investigated and still want a human check on malicious verdicts. Prophet AI investigates alerts, hunts threats, and ships tuned or new detections that are backtested for approval. Response can run through scoped agent actions autonomously or with a sign-off, and a human Watchtower reviews malicious determinations around the clock. Prophet Securityの料金と機能/Prophet Securityの代替 8 ### Torq Security operations teams that want agentic response with an override still available. Torq's AI SOC platform triages events, investigates cases with specialized agents, and can respond either autonomously or with a human in the loop. Its Socrates agent is described as natural-language agentic AI that remediates critical threats, and every decision is written to a context model with an audit trail. Torqの料金と機能/Torqの代替 9 ### Intezer Enterprise SOCs that want forensic triage of the full alert queue. Intezer's AI SOC triages, investigates, and can respond to alerts, including low-severity ones, using endpoint forensics, memory analysis, and reverse engineering alongside AI models. The site says it resolves more than 98 percent of false positives in under a minute and prices by endpoint rather than by alert volume. Intezerの料金と機能/Intezerの代替 ## AIエージェントとは AIペネトレーションテストは悪用できる穴を探し、証拠を残します。XBOWとPenteraが製品です。NodeZeroの価格はAWS Marketplaceの数字です。 ## このリストの並び このリストの上位には Dropzone AI, Horizon3.ai NodeZero, Aikido があります。順序は公開スコアで、広告枠ではありません。 ## 比べる点 仕事、開始価格、結果を人がまだ承認するかを見てください。 - その製品が実際にやる仕事 - 公開価格、無料プラン、または明確な個別価格 - 顧客に届く前の確認 ## この種のソフトウェアの用途 同じ手順が繰り返されるときに使います。判断は人が持ちます。 - デモの前に開始価格を見る - 汎用チャットではなく、この仕事の製品を比べる - 長いメモは製品ページで読む ## このリストの相手 仕事の中身が分かっていて、料金に日付のある製品を見たい人向けです。 ## 公開されている開始価格 確認できた開始価格: Dropzone AI (Not published), Horizon3.ai NodeZero (From $25,000 / 12 months on AWS Marketplace), Aikido (Free)。確認日は2026年10月5日。 ## 選び方 まず仕事を合わせ、次に誰向けか、営業電話なしで始められるかを読んでください。 ## 近いカテゴリ 隣の仕事には別の一覧があります。 - おすすめのAIコーディングエージェント - AIエージェントを作るプラットフォーム - おすすめのAIブラウザ ## よくある質問 ### おすすめのAIペネトレーションテストには何が入りますか ### 料金はベンダーの公開価格ですか ### 星評価やレビュー件数はありますか ## 採点方法 確認日 5 October 2026 すべての製品を同じ6項目で100点満点にします。順位は合計、適合、名前の順です。 方法の全文を読む.