SentinelOne Unveils AI-SPM: Safeguarding AI Services in the Cloud Era
Sunday, Nov 24, 2024 2:50 pm ET
4min read The rapid adoption of artificial intelligence (AI) services in the workplace has brought about a new era of innovation and productivity. However, it has also exposed organizations to a novel attack surface and potential regulatory risks. In response to these challenges, SentinelOne, a global leader in AI-powered cybersecurity, has announced the introduction of AI Security Posture Management (AI-SPM). This new offering aims to protect and secure the use of AI services in the workplace by providing visibility, detection, and mitigation of misconfigurations and vulnerabilities in AI infrastructure.
AI-SPM builds upon SentinelOne's market-leading Singularity™ cybersecurity platform, expanding its top-rated Singularity Cloud Security portfolio to cover both known and shadow AI cloud services running in an organization's environment. The solution helps 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.
One of the primary concerns with AI services is the possibility of data theft and model misuse due to misconfigurations. AI-SPM addresses this challenge by discovering and visualizing known and shadow AI pipelines and models across various cloud services like AWS (Amazon SageMaker and Amazon Bedrock), Google Cloud (Google Vertex AI), and Microsoft Azure (Microsoft Azure OpenAI). By automating the inventory of AI infrastructure, AI-SPM enables security teams to gain end-to-end visibility into AI services, training jobs, deployed models, and pipelines.
AI-SPM also detects and identifies vulnerabilities and misconfigurations in AI infrastructure, protecting against inadvertent exposure and unauthorized access to AI models and services. For instance, if an Amazon SageMaker notebook instance is configured with direct internet access, AI-SPM generates an exposure alert and recommends actions to address it. Moreover, AI-SPM's graph explorer visualizes attack paths related to AI-based workload alerts, showcasing graphically how an adversary could traverse the customer's environment and potentially move laterally to gain access to resources.
AI-SPM further assists in managing and mitigating compliance risks by focusing on data policies that contribute to company-level compliance and risk baselines. It assesses AI workloads against regulatory standards like the EU AI Act and NIST's Artificial Intelligence Risk Management Framework, ensuring that organizations can confidently embrace AI's transformative benefits while mitigating security, privacy, and regulatory compliance risks.
In conclusion, SentinelOne's AI-SPM is a timely and essential solution for organizations looking to harness the power of AI services while safeguarding their sensitive data and maintaining regulatory adherence. By providing automated inventory, misconfiguration detection, and attack path analysis, AI-SPM empowers security teams to stay ahead of the curve in an ever-evolving AI landscape. As AI adoption continues to grow, so too will the need for innovative solutions like AI-SPM to secure the future of AI services.
AI-SPM builds upon SentinelOne's market-leading Singularity™ cybersecurity platform, expanding its top-rated Singularity Cloud Security portfolio to cover both known and shadow AI cloud services running in an organization's environment. The solution helps 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.
One of the primary concerns with AI services is the possibility of data theft and model misuse due to misconfigurations. AI-SPM addresses this challenge by discovering and visualizing known and shadow AI pipelines and models across various cloud services like AWS (Amazon SageMaker and Amazon Bedrock), Google Cloud (Google Vertex AI), and Microsoft Azure (Microsoft Azure OpenAI). By automating the inventory of AI infrastructure, AI-SPM enables security teams to gain end-to-end visibility into AI services, training jobs, deployed models, and pipelines.
AI-SPM also detects and identifies vulnerabilities and misconfigurations in AI infrastructure, protecting against inadvertent exposure and unauthorized access to AI models and services. For instance, if an Amazon SageMaker notebook instance is configured with direct internet access, AI-SPM generates an exposure alert and recommends actions to address it. Moreover, AI-SPM's graph explorer visualizes attack paths related to AI-based workload alerts, showcasing graphically how an adversary could traverse the customer's environment and potentially move laterally to gain access to resources.
AI-SPM further assists in managing and mitigating compliance risks by focusing on data policies that contribute to company-level compliance and risk baselines. It assesses AI workloads against regulatory standards like the EU AI Act and NIST's Artificial Intelligence Risk Management Framework, ensuring that organizations can confidently embrace AI's transformative benefits while mitigating security, privacy, and regulatory compliance risks.
In conclusion, SentinelOne's AI-SPM is a timely and essential solution for organizations looking to harness the power of AI services while safeguarding their sensitive data and maintaining regulatory adherence. By providing automated inventory, misconfiguration detection, and attack path analysis, AI-SPM empowers security teams to stay ahead of the curve in an ever-evolving AI landscape. As AI adoption continues to grow, so too will the need for innovative solutions like AI-SPM to secure the future of AI services.
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