SentinelOne Inc. and Snyk Ltd. have launched new tools aimed at enhancing the security of artificial intelligence (AI) agents, addressing a critical need within the rapidly evolving tech landscape. The announcements were made today, highlighting the companies’ commitment to safeguarding AI infrastructures as organizations increasingly rely on these technologies.
Based in New York and publicly traded on the NYSE, SentinelOne offers its Singularity cybersecurity platform, which aids companies in protecting software containers, devices, and various assets. Snyk, a company that has attracted over $1.3 billion in funding, provides developers with tools to identify and rectify vulnerabilities in their code.
SentinelOne’s new offerings include Prompt AI Agent Security, a tool designed to automatically identify Mission-Critical Processing (MCP) servers utilized by a company’s AI agents. This tool establishes cybersecurity guardrails around these servers to mitigate risks associated with insecure use. Notably, it can prevent AI agents from transmitting sensitive business data to third-party applications and restrict unauthorized access to internal systems.
Alongside Prompt AI Agent Security, SentinelOne has introduced Prompt AI Red Teaming, which simulates cyberattacks to expose vulnerabilities within AI applications. This software can mimic malicious prompts and attempts to compromise a model’s training data, thereby uncovering potential threats before they manifest in real-world scenarios.
The Singularity platform enhances its capabilities by utilizing an “AI-native data pipeline” within the Singularity AI SIEM module to analyze telemetry data from organizations. This feature, based on technology acquired through a $225 million startup acquisition last year, organizes and enriches telemetry data before uploading it to the Singularity platform. According to SentinelOne, this innovation can reduce unnecessary data noise by up to 80%, ultimately lowering the infrastructure costs associated with data processing.
One challenge faced in deploying cybersecurity solutions is the limitation of data transfer in air-gapped environments, which are isolated corporate networks. To address this, SentinelOne has launched Prompt Security On-Premises, an AI workload security tool tailored for these environments. It collects and stores telemetry data on customers’ own infrastructure instead of relying on cloud storage. By employing the new data pipeline, this tool filters out unnecessary telemetry before conducting its analysis, providing a robust solution for organizations requiring stringent data privacy.
Ana Pinczuk, SentinelOne’s president of product and technology, emphasized the significance of this development: “For too long, organizations in highly regulated sectors have faced a trade-off between the speed of AI security and total data sovereignty, privacy and control – especially for air-gapped networks.”
Snyk’s newly introduced AI security tools parallel many of the use cases addressed by SentinelOne’s offerings. A standout feature is the Snyk Evo AI-SPM, which automatically generates an inventory of language models, MCP servers, and other AI assets within a company’s code repositories. It conducts scans for cybersecurity risks, enhancing the security framework for developers working with AI technologies.
The Evo AI-SPM powers three AI agents currently in preview. The first agent ensures that third-party AI components employed by developers are secure, while the other agents assist in testing AI applications for vulnerabilities and preventing AI risks, such as unintended responses that might include training dataset excerpts.
Snyk Chief Innovation Officer Manoj Nair commented on the evolving landscape of AI governance, stating, “Agentic architectures turn governance into a software supply chain problem. Our value is confirming which findings are real and exploitable, using ground truth data from a decade of enterprise deployment that no AI model can produce alone. Claude finds. Snyk confirms. The agent fixes only what’s real.”
As the demand for AI technologies continues to surge, the launch of these security tools underscores the increasing importance of safeguarding AI infrastructures against emerging threats. With organizations becoming more reliant on AI solutions, the need for robust cybersecurity measures to secure these assets will only grow stronger in the coming years.
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