Rapid7 Puts Agentic AI to Work in the SOC, Empowering Analysts to Investigate Smarter and Faster
Rapid7 (NASDAQ: RPD) has announced the integration of agentic AI workflows into its next-gen SIEM and XDR platform, revolutionizing threat investigation in Managed Detection & Response (MDR) environments. The AI system, powered by Rapid7's AI Engine, performs investigative tasks with analyst-level expertise at AI speeds, achieving 99.93% accuracy in alert triage and saving over 200 SOC hours weekly.
The new system is designed to help organizations combat increasingly sophisticated AI-powered cyber threats by providing scalable, transparent, and human-centric security operations. The agentic AI workflows are trained on Rapid7's SOC expert playbooks and offer improved confidence in security postures, greater visibility into AI-powered decisions, and maximized return on detection and response investments.
Rapid7 (NASDAQ: RPD) ha annunciato l'integrazione di flussi di lavoro AI agentici nella sua piattaforma SIEM e XDR di nuova generazione, rivoluzionando l'investigazione delle minacce negli ambienti di Managed Detection & Response (MDR). Il sistema AI, alimentato dal motore AI di Rapid7, esegue compiti investigativi con competenza a livello di analista e alla velocità dell'AI, raggiungendo una accuratezza del 99,93% nella classificazione degli alert e risparmiando oltre 200 ore settimanali di SOC.
Il nuovo sistema è progettato per aiutare le organizzazioni a contrastare minacce informatiche sempre più sofisticate alimentate dall'AI, offrendo operazioni di sicurezza scalabili, trasparenti e incentrate sull'uomo. I flussi di lavoro AI agentici sono addestrati sui playbook degli esperti SOC di Rapid7 e garantiscono una maggiore fiducia nelle posture di sicurezza, una migliore visibilità nelle decisioni AI e un massimo ritorno sugli investimenti in rilevamento e risposta.
Rapid7 (NASDAQ: RPD) ha anunciado la integración de flujos de trabajo de IA agentica en su plataforma SIEM y XDR de próxima generación, revolucionando la investigación de amenazas en entornos de Managed Detection & Response (MDR). El sistema de IA, potenciado por el motor de IA de Rapid7, realiza tareas investigativas con nivel de experto analista y a la velocidad de la IA, logrando una precisión del 99,93% en la clasificación de alertas y ahorrando más de 200 horas semanales de SOC.
El nuevo sistema está diseñado para ayudar a las organizaciones a combatir amenazas cibernéticas cada vez más sofisticadas impulsadas por IA, proporcionando operaciones de seguridad escalables, transparentes y centradas en el factor humano. Los flujos de trabajo de IA agentica están entrenados con los playbooks de expertos SOC de Rapid7 y ofrecen mayor confianza en las posturas de seguridad, mejor visibilidad en las decisiones impulsadas por IA y un máximo retorno de la inversión en detección y respuesta.
Rapid7 (NASDAQ: RPD)는 차세대 SIEM 및 XDR 플랫폼에 에이전틱 AI 워크플로우를 통합하여 Managed Detection & Response (MDR) 환경에서 위협 조사를 혁신한다고 발표했습니다. Rapid7의 AI 엔진이 구동하는 이 AI 시스템은 분석가 수준의 전문성을 AI 속도로 수행하며, 경고 분류에서 99.93% 정확도를 달성하고 매주 200시간 이상의 SOC 작업 시간을 절감합니다.
이 새로운 시스템은 점점 더 정교해지는 AI 기반 사이버 위협에 대응할 수 있도록 확장 가능하고 투명하며 인간 중심의 보안 운영을 제공합니다. 에이전틱 AI 워크플로우는 Rapid7 SOC 전문가의 플레이북을 기반으로 훈련되어 보안 태세에 대한 자신감을 높이고, AI 기반 결정에 대한 가시성을 향상시키며, 탐지 및 대응 투자 수익을 극대화합니다.
Rapid7 (NASDAQ : RPD) a annoncé l'intégration de flux de travail IA agentiques dans sa plateforme SIEM et XDR de nouvelle génération, révolutionnant l'investigation des menaces dans les environnements Managed Detection & Response (MDR). Le système IA, propulsé par le moteur IA de Rapid7, réalise des tâches d'investigation avec une expertise équivalente à celle d'un analyste à la vitesse de l'IA, atteignant une précision de 99,93 % dans le tri des alertes et économisant plus de 200 heures SOC par semaine.
Ce nouveau système est conçu pour aider les organisations à lutter contre des cybermenaces de plus en plus sophistiquées alimentées par l'IA, en offrant des opérations de sécurité évolutives, transparentes et centrées sur l'humain. Les flux de travail IA agentiques sont formés sur les playbooks des experts SOC de Rapid7 et offrent une confiance accrue dans les postures de sécurité, une meilleure visibilité des décisions basées sur l'IA et un retour maximal sur les investissements en détection et réponse.
Rapid7 (NASDAQ: RPD) hat die Integration agentischer KI-Workflows in seine SIEM- und XDR-Plattform der nächsten Generation angekündigt und revolutioniert damit die Bedrohungsuntersuchung in Managed Detection & Response (MDR)-Umgebungen. Das von Rapid7s KI-Engine betriebene KI-System führt Untersuchungsaufgaben mit Analystenkompetenz und KI-Tempo durch und erreicht dabei eine Genauigkeit von 99,93 % bei der Alarm-Triage und spart über 200 SOC-Stunden pro Woche.
Das neue System wurde entwickelt, um Organisationen dabei zu unterstützen, zunehmend komplexe KI-basierte Cyberbedrohungen zu bekämpfen, indem es skalierbare, transparente und menschenzentrierte Sicherheitsoperationen bietet. Die agentischen KI-Workflows sind auf den SOC-Experten-Playbooks von Rapid7 trainiert und bieten verbesserte Sicherheitsposturen, größere Transparenz bei KI-gestützten Entscheidungen und maximieren den Return on Investment in Erkennung und Reaktion.
- AI-powered alert triage system achieves 99.93% accuracy
- System saves over 200 SOC hours per week through automation
- Enhanced threat detection capabilities against AI-enabled attackers
- Improved operational efficiency through automation of repetitive tasks
- None.
Insights
Rapid7's agentic AI workflows represent a significant operational efficiency advancement addressing real SOC bottlenecks while maintaining human oversight.
Rapid7's integration of agentic AI workflows into their MDR service addresses a critical pain point in security operations - the overwhelming volume of alerts requiring human investigation. The company is taking a thoughtful approach by focusing AI on specific high-value use cases rather than attempting a complete SOC replacement. Their reported
The technology appears strategically positioned as a response to the changing threat landscape where attackers themselves are leveraging AI to launch more sophisticated campaigns. This creates an arms race dynamic where defensive AI becomes necessary rather than optional. What distinguishes Rapid7's approach is their emphasis on transparency - making AI decisions interpretable and maintaining human oversight of critical functions rather than creating a black-box solution.
From a competitive standpoint, while many security vendors are incorporating AI capabilities, Rapid7's focus on concrete workflows and measurable outcomes (time savings, accuracy metrics) suggests a maturity in their AI implementation beyond marketing hype. The architecture of having AI handle repetitive investigative tasks while elevating analysts to focus on complex decision-making represents a pragmatic balance that addresses both scale challenges and skills shortages in cybersecurity operations.
Agentic AI workflows transform managed detection & response (MDR), giving SOC analysts time to focus on higher-impact activities and customers better command of their attack surface with faster time-to-insight and improved alert fidelity
BOSTON, June 24, 2025 (GLOBE NEWSWIRE) -- Today, Rapid7, Inc. (NASDAQ: RPD), a leader in threat detection and exposure management, announced that agentic AI workflows are now embedded within Rapid7’s next-gen SIEM and XDR platform to fundamentally change how threats in MDR customer environments are investigated in the SOC. Leveraging Rapid7’s AI Engine, agentic AI autonomously performs foundational investigative tasks with the rigor and expertise of a SOC analyst, but at AI speeds. This empowers analysts to perform deeper analysis, shorten investigation cycles, and ultimately solve security problems faster for customers.
As AI accelerates the threat landscape, enabling attackers to launch faster, more personalized, and harder-to-detect campaigns, organizations need an MDR experience that scales to meet the demands of their environment and the broader attacker landscape while providing direct visibility into decisions. The new agentic AI workflows in Rapid7 MDR address the demand for scale, speed and transparency, incorporating Rapid7’s industry-leading AI automation for alert triage, which closes benign alerts with
“AI isn’t just an enhancement to security operations, it’s a catalyst for a new era of scale, speed, and strategic decision-making. At Rapid7, we believe AI must be human-centric, transparent and accountable, and built on analyst expertise,” said Laura Ellis, vice president of AI and data at Rapid7. “The launch of agentic AI workflows for MDR represents the foundational step in our broader vision for agentic AI across the platform. Far more than just automation, this is the beginning of a system capable of intelligent and adaptive decision-making.”
Agentic AI workflows are trained on playbooks designed by Rapid7’s own SOC experts, and refined through continuous real-world application, ultimately delivering:
- Improved confidence in security postures through scalable, repeatable, high quality investigations that protect against sophisticated AI attackers amid increasing alert volume.
- Greater visibility and control of service outcomes with transparency into the reasoning, evidence, and logic behind every AI-powered action and output.
- Maximum return on detection and response investments via reallocation of analyst hours to the most complex tasks and strategic decisions to maximize impact across customer environments.
“A world-class SOC optimizes for the ‘human’ decision moment. With agentic AI workflows, we’re using AI to present the right information to enable accurate and fast human decisions that allow organizations to quickly find and stop today’s AI-enabled attackers,” said Jon Hencinski, vice president detection & response at Rapid7. “Agentic AI workflows automate repetitive tasks, surface relevant findings, and provide contextual information to support analyst decision-making. By delivering timely, actionable insights, these workflows improve the quality of decisions being made and empower analysts to move confidently to the next step in the response process.”
“Successful AI deployment in any cybersecurity platform needs to be thoughtful and planned: from the classification of data through to disciplined workflows and orchestration of detections with responses. Rapid7’s approach to AI implementation checks each of these boxes with deliberate, transparent, practical AI processes that deliver real-world efficiencies for its customers,” said Craig Robinson, research vice president at IDC.
To learn more about Rapid7’s Managed Detection and Response service with agentic AI Workflows, visit https://www.rapid7.com/services/managed-detection-and-response-mdr.
About Rapid7
Rapid7, Inc. (NASDAQ: RPD) is on a mission to create a safer digital world by making cybersecurity simpler and more accessible. We empower security professionals to manage a modern attack surface through our best-in-class technology, leading-edge research, and broad, strategic expertise. Rapid7’s comprehensive security solutions help more than 11,000 global customers unite cloud risk management with threat detection and response to reduce attack surfaces and eliminate threats with speed and precision. For more information, visit our website, check out our blog, or follow us on LinkedIn or X.
Rapid7 Media Relations
Alice Randall
Director, Global Communications
press@rapid7.com
(857) 216-7804
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Vice President, Investor Relations
investors@rapid7.com
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