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SentinelOne and Snyk Launch Tools for AI Agent Security

Today, SentinelOne Inc. and Snyk Ltd. unveiled advanced tools aimed at securing artificial intelligence agents, reflecting the growing need for robust cybersecurity in this evolving landscape.

Trading on the NYSE, SentinelOne offers a cybersecurity platform known as Singularity, which protects software containers, devices used by employees, and a variety of other assets. Meanwhile, Snyk provides developers with tools designed to identify and remediate vulnerabilities in their code, supported by over $1.3 billion in funding.

The first innovative tool from SentinelOne, called Prompt AI Agent Security, automatically detects the MCP servers utilized by a company’s AI agents. It then establishes cybersecurity parameters around these servers to mitigate insecure usage. This tool not only prevents AI agents from transmitting business information to unauthorized third-party applications but also reduces risks associated with unauthorized access to internal systems.

In conjunction with this, SentinelOne introduced a second tool named Prompt AI Red Teaming, which identifies vulnerabilities in AI applications by simulating cyberattacks. This software can mimic malicious prompts and attempt to compromise a model’s training data, among other threats.

The Singularity platform operates by analyzing telemetry from an organization’s infrastructure to uncover cybersecurity risks. Its forthcoming Singularity AI SIEM module will utilize an “AI-native data pipeline” to process this telemetry, an enhancement derived from the $225 million acquisition of Observo AI last year.

This innovative data pipeline organizes telemetry before transferring it to Singularity, enriching it with external data, normalizing it, and filtering out irrelevant information. According to SentinelOne, this feature can decrease unnecessary data noise by up to 80%, thereby reducing related processing costs.

In typical cybersecurity implementations, a lightweight program, or agent, is installed on the systems to be protected, which collects telemetry to send to a cloud-based backend for processing. However, this data transfer poses challenges in air-gapped environments—sensitive corporate networks isolated from the internet. This limitation complicates the deployment of cybersecurity software.

As part of today’s announcements, SentinelOne introduced an AI workload security tool specifically tailored for air-gapped environments. Prompt Security On-Premises collects telemetry directly on customers’ infrastructure rather than sending it to the cloud, utilizing SentinelOne’s new AI data pipeline to filter unneeded telemetry before analysis.

“For too long, organizations in highly regulated sectors have faced a trade-off between rapid AI security implementation and total data sovereignty, privacy, and control—especially for air-gapped networks,” stated Ana Pinczuk, president of product and technology at SentinelOne.

Similarly, Snyk’s newly launched AI security tools target several of the same use cases addressed by SentinelOne. The standout feature is a technology called Snyk Evo AI-SPM, which automatically compiles an inventory of language models, MCP servers, and other AI assets stored in a company’s code repositories, followed by scanning for cybersecurity risks.

Evo AI-SPM powers three AI agents currently in preview. The first agent ensures the security of third-party AI components employed by a company’s developers. According to Snyk, the other agents assist developers in testing AI applications for vulnerabilities and blocking possible risks, such as prompt replies that contain excerpts from training datasets.

“Agentic architectures convert governance into a software supply chain concern,” explained Snyk’s Chief Innovation Officer, Manoj Nair. “Our strength lies in verifying which findings are real and exploitable, leveraging ground truth data from years of enterprise deployment that no AI model can generate on its own. Claude discovers; Snyk verifies. The agent addresses only what’s actual.”

Photo: SentinelOne

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