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SentinelOne Secures Both Known and Shadow AI Services in the Workplace with New AI Security Posture Management

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SentinelOne (NYSE: S) has announced new AI Security Posture Management (AI-SPM) capabilities to secure AI services in workplaces. The solution, built on their Singularity platform, expands their Cloud Security portfolio to provide visibility and protection for both known and shadow AI cloud services.

The AI-SPM helps security teams discover AI applications inventory, detect misconfigurations, identify vulnerabilities, and visualize potential attack paths related to AI workloads. The solution supports major cloud providers including AWS, Google Cloud, and Microsoft Azure. Early adopter access is available now, with general availability expected in early 2025.

This launch responds to the rapid adoption of generative AI, with McKinsey reporting 65% of organizations using it in at least one business function, up from 33% in 2023.

SentinelOne (NYSE: S) ha annunciato nuove capacità di Gestione della Postura di Sicurezza AI (AI-SPM) per proteggere i servizi AI negli ambienti di lavoro. La soluzione, basata sulla loro piattaforma Singularity, amplia il loro portafoglio di Sicurezza Cloud per fornire visibilità e protezione sia per i servizi cloud AI noti che per quelli non documentati.

L'AI-SPM aiuta i team di sicurezza a scoprire l'inventario delle applicazioni AI, rilevare configurazioni errate, identificare vulnerabilità e visualizzare potenziali percorsi di attacco relativi ai carichi di lavoro AI. La soluzione supporta i principali fornitori di cloud, tra cui AWS, Google Cloud e Microsoft Azure. L'accesso per i primi utilizzatori è disponibile ora, con una disponibilità generale prevista per l'inizio del 2025.

Questo lancio risponde alla rapida adozione dell'AI generativa, con McKinsey che riporta che il 65% delle organizzazioni la utilizza in almeno una funzione aziendale, in aumento rispetto al 33% nel 2023.

SentinelOne (NYSE: S) ha anunciado nuevas capacidades de Gestión de la Postura de Seguridad AI (AI-SPM) para asegurar los servicios de AI en los lugares de trabajo. La solución, construida sobre su plataforma Singularity, expande su portafolio de Seguridad en la Nube para proporcionar visibilidad y protección tanto para servicios de nube AI conocidos como no documentados.

El AI-SPM ayuda a los equipos de seguridad a descubrir el inventario de aplicaciones de AI, detectar configuraciones incorrectas, identificar vulnerabilidades y visualizar posibles rutas de ataque relacionadas con las cargas de trabajo de AI. La solución es compatible con los principales proveedores de la nube, incluidos AWS, Google Cloud y Microsoft Azure. El acceso anticipado ya está disponible, y se espera que la disponibilidad general comience a principios de 2025.

Este lanzamiento responde a la rápida adopción de la AI generativa, con McKinsey informando que el 65% de las organizaciones la utilizan en al menos una función empresarial, frente al 33% en 2023.

SentinelOne (NYSE: S)는 직장에서 AI 서비스를 보호하기 위한 새로운 AI 보안 위치 관리(AI-SPM) 기능을 발표했습니다. Singularity 플랫폼에 구축된 이 솔루션은 알려진 AI 클라우드 서비스와 그림자 AI 클라우드 서비스 모두에 대한 가시성과 보호를 제공하기 위해 클라우드 보안 포트폴리오를 확장합니다.

AI-SPM은 보안 팀이 AI 애플리케이션을 검색하고, 잘못된 구성을 감지하며, 취약점을 식별하고, AI 작업 부하와 관련된 잠재적 공격 경로를 시각화하도록 돕습니다. 이 솔루션은 AWS, Google Cloud 및 Microsoft Azure를 포함한 주요 클라우드 공급자를 지원합니다. 초기 사용자를 위한 접근이 이제 가능하며, 일반 제공은 2025년 초에 예상됩니다.

이번 출시 는 생성적 AI의 빠른 채택에 대응하며, 맥킨지에 따르면 조직의 65%가 최소한 하나의 비즈니스 기능에서 이를 사용하고 있어, 2023년의 33%에서 증가하였습니다.

SentinelOne (NYSE: S) a annoncé de nouvelles capacités de Gestion de la Posture de Sécurité AI (AI-SPM) pour sécuriser les services AI sur les lieux de travail. La solution, construite sur leur plateforme Singularity, élargit leur portefeuille de Sécurité Cloud pour offrir visibilité et protection à la fois pour les services cloud AI connus et non documentés.

L'AI-SPM aide les équipes de sécurité à découvrir l'inventaire des applications AI, détecter les configurations incorrectes, identifier les vulnérabilités et visualiser les chemins d'attaque potentiels liés aux charges de travail AI. La solution prend en charge les principaux fournisseurs de cloud, y compris AWS, Google Cloud et Microsoft Azure. L'accès pour les premiers utilisateurs est disponible dès maintenant, avec une disponibilité générale prévue pour début 2025.

Ce lancement répond à l'adoption rapide de l'AI génératif, McKinsey rapportant que 65% des organisations l'utilisent dans au moins une fonction commerciale, contre 33% en 2023.

SentinelOne (NYSE: S) hat neue Funktionen für AI Security Posture Management (AI-SPM) angekündigt, um AI-Dienste in Arbeitsumgebungen abzusichern. Die Lösung, die auf ihrer Singularity-Plattform basiert, erweitert ihr Cloud-Sicherheitsportfolio, um sowohl Sichtbarkeit als auch Schutz für bekannte als auch Schatten-AI-Cloud-Dienste bereitzustellen.

Das AI-SPM hilft Sicherheitsteams, das Inventar der AI-Anwendungen zu entdecken, Fehlkonfigurationen zu erkennen, Schwachstellen zu identifizieren und potenzielle Angriffswege im Zusammenhang mit AI-Arbeitslasten zu visualisieren. Die Lösung unterstützt führende Cloud-Anbieter wie AWS, Google Cloud und Microsoft Azure. Der Zugang für frühe Anwender ist jetzt verfügbar, mit einer allgemeinen Verfügbarkeit, die für Anfang 2025 erwartet wird.

Dieses Launch reagiert auf die schnelle Adoption von generativer AI, wobei McKinsey berichtet, dass 65% der Organisationen sie in mindestens einer Geschäftsfunktion nutzen, im Vergleich zu 33% im Jahr 2023.

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AI-SPM bolsters Singularity Cloud Security portfolio to create visibility into AI services usage, detecting misconfigurations and vulnerabilities in AI applications, and determining potential attack paths

MOUNTAIN VIEW, Calif.--(BUSINESS WIRE)-- SentinelOne® (NYSE: S), a global leader in AI-powered cybersecurity, today announced new AI security posture management (AI-SPM) capabilities to protect and secure the use of AI services in the workplace. Built on SentinelOne’s market-leading Singularity™ cybersecurity platform, the new offering will expand SentinelOne’s top-rated Singularity Cloud Security portfolio to give customers visibility into – and protection over – both known and shadow AI cloud services running in their environment. SentinelOne’s AI-SPM will help security teams discover the entire inventory of AI applications and models being used, detect and pinpoint AI service misconfigurations and vulnerabilities, and gain visibility into potential attack paths related to AI workloads. As a result, organizations can confidently embrace AI's transformative productivity benefits and competitive advantages while mitigating the security, privacy, and regulatory compliance risks inherent in cloud-based AI applications and models.

Early adopter access is available now for SentinelOne customers, with general availability expected in early 2025.

In May 2024, a global McKinsey survey found that 65 percent of organizations were using generative AI in at least one business function – up nearly double from 33 percent in 2023 – and 50 percent were already using generative AI across multiple functions. To meet this demand, all major public cloud service providers, including Amazon Web Services, Google Cloud, and Microsoft Azure, have introduced simple ways to build, train, and host generative AI applications in the cloud.

“The power and benefits of generative AI are undeniable. Yet, the very tools and cloud services that simplify and accelerate GenAI adoption are simultaneously opening up a brand new attack surface and potential regulatory risk,” said Ely Kahn, Vice President of Product Management at SentinelOne. “With AI-SPM, we’re empowering customers to unleash the distinct advantages of GenAI, while giving security teams the visibility, insight, and tools needed to protect the sensitive data behind these powerful cloud applications.”

A new solution within SentinelOne’s Singularity Cloud Security portfolio, AI-SPM builds on the comprehensive CNAPP capabilities in the Singularity platform by introducing the ability to:

  • Discover and gain visibility into known and shadow AI pipelines and models – SentinelOne’s AI-SPM discovers all the AI services, training, deployed models, and pipelines from cloud services like AWS (Amazon SageMaker and Amazon Bedrock), Google Cloud (Google Vertex AI) and Microsoft Azure (Microsoft Azure OpenAI).
  • Detect and identify vulnerabilities and misconfigurations in AI infrastructure – SentinelOne’s AI-SPM provides insights into any misconfigurations in AI services to protect against inadvertent exposure that could lead to possible data exfiltration and unauthorized access to AI models and services.
  • Visualize and analyze potential attack paths SentinelOne’s graph explorer visualizes attack paths related to AI-based workload alerts to showcase graphically how an adversary could traverse the customer’s environment and potentially move laterally to gain access to resources.
  • Manage and mitigate compliance risks Focus on data policies that contribute to company-level compliance and risk baselines as part of a greater assessment against regulatory standards like the EU AI Act and NIST’s Artificial Intelligence Risk Management framework.

Related content

  • SentinelOne blog: Protecting AI Infrastructures | Introducing SentinelOne’s AI Security Posture Management (AI-SPM)
  • Singularity Cloud Security: Overview of SentinelOne’s comprehensive and integrated CNAPP solution

About SentinelOne

SentinelOne is a leading AI-powered cybersecurity platform. Built on the first unified Data Lake, SentinelOne empowers the world to run securely by creating intelligent, data-driven systems that think for themselves, stay ahead of complexity and risk, and evolve on their own. Leading organizations—including Fortune 10, Fortune 500, and Global 2000 companies, as well as prominent governments— trust SentinelOne to Secure Tomorrow™. Learn more at sentinelone.com.

Forward Looking Statements

Please note that this press release includes forward-looking statements including, but not limited to, statements concerning the expected timing of product and feature availability, the benefits and capabilities of our current and future products and services, competition and our competitive position, our strategic plans and objectives, and general market trends. Such statements are subject to numerous risks and uncertainties and actual results could differ from those statements. Any future products, functionality and services may be abandoned or delayed, and customers should make decisions to purchase products and services based on features that are currently available.

Forward-looking statements are subject to risks and uncertainties, including factors beyond our control, that could cause actual performance or results to differ materially from those expressed in or suggested by the forward looking statements. These and other risk factors are described in the “Risk Factors” section of our most recent Annual Report on Form 10-K, subsequently quarterly reports filed on Form 10-Q, and other filings made with the Securities and Exchange Commission (SEC), which are available free of charge on our website at http://investors.SentinelOne.com and on the SEC’s website at www.sec.gov.

Any forward-looking statements made in this document are based on our beliefs and assumptions that we believe to be reasonable as of the date of the presentation. You should not rely upon forward-looking statements as predictions of future events. Except to the extent required by law, we undertake no obligation to update these forward-looking statements to reflect new information or future events.

Media Contact:

Karen Master

SentinelOne

Press@sentinelone.com

Source: SentinelOne

FAQ

When will SentinelOne's AI-SPM be generally available?

SentinelOne's AI-SPM is expected to be generally available in early 2025, though early adopter access is currently available for existing customers.

What cloud platforms does SentinelOne's AI-SPM support?

The AI-SPM supports major cloud providers including AWS (Amazon SageMaker and Bedrock), Google Cloud (Vertex AI), and Microsoft Azure (OpenAI).

What are the main features of SentinelOne's new AI-SPM solution?

The main features include discovering AI pipelines and models, detecting vulnerabilities and misconfigurations, visualizing potential attack paths, and managing compliance risks against standards like EU AI Act and NIST framework.

What percentage of organizations are using generative AI according to the McKinsey survey mentioned in SentinelOne's announcement?

According to the May 2024 McKinsey survey, 65% of organizations are using generative AI in at least one business function, nearly double from 33% in 2023.

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