Purple AI

Purple AI

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Purple AI by SentinelOne is a generative cybersecurity analyst that lets security teams investigate threats using natural language queries across endpoints and cloud data.

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Purple AI
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📋 About Purple AI

Purple AI is SentinelOne's generative security analyst that turns natural language questions into investigations across endpoint telemetry, cloud workloads, and identity events. Traditional SIEM and XDR tools require analysts to learn complex query languages and stitch together evidence from many consoles, which creates a skills bottleneck that most security teams cannot overcome. Purple AI removes that barrier by letting analysts ask plain-language questions like "which endpoints ran suspicious PowerShell in the past hour" and receive enriched, contextualized results with follow-up suggestions.

Key Features of Purple AI

1

Natural Language Threat Hunting

Purple AI converts plain-language questions into structured queries against endpoint, cloud, and identity telemetry. Analysts no longer need to learn proprietary query languages to run sophisticated investigations. This closes the single biggest skills gap in most security operations centers.

2

Curated Hunt Library

The platform ships with threat hunting prompts authored by SentinelOne's elite threat intelligence team, covering current campaigns, MITRE techniques, and insider threat patterns. Junior analysts can run senior-level hunts by simply selecting a curated prompt. New hunts are added continuously as threats evolve.

3

Evidence Chain Explanations

Every AI response includes the underlying evidence, the events queried, and the MITRE ATT&CK mappings behind the conclusions. This transparency is critical for security work where analysts cannot act on unexplained verdicts. It also helps training junior analysts by showing the reasoning behind findings.

4

Singularity Data Lake Integration

Purple AI runs directly on top of SentinelOne's Singularity Data Lake, enabling fast queries across massive volumes of security telemetry. This avoids the performance and cost issues of running generative AI against traditional SIEMs that index every log. Historical investigations go back as far as retention allows.

5

One-Click Response Actions

After an investigation identifies compromised assets, analysts can trigger containment, isolation, or remediation actions with a single click from the same interface. This collapses the typical gap between detection and response that adversaries exploit to escalate attacks.

6

Analyst Assist Suggestions

Purple AI proactively suggests next queries based on the results of the current investigation, mimicking the pattern recognition of experienced senior analysts. This guides junior staff through investigations they might otherwise abandon prematurely and accelerates experienced analysts through routine work.

🎯 Use Cases for Purple AI

Security operations teams use Purple AI to let junior analysts run sophisticated threat hunts in natural language, dramatically reducing the senior expertise bottleneck that limits SOC throughput. Incident responders use the platform during active incidents to rapidly pivot across endpoints, identities, and cloud workloads without manually translating questions into query syntax for each data source. Managed security service providers deploy Purple AI to increase per-analyst caseload without sacrificing investigation depth, improving margins on tiered service offerings. Threat intelligence teams use the curated hunt library to rapidly deploy coverage for newly disclosed campaigns across customer environments within hours of disclosure. CISOs and security leaders use executive summaries generated from Purple AI investigations to communicate risk and incident status to non-technical stakeholders in language they can understand.

⚖️ Purple AI Pros & Cons

Advantages

  • Removes query language barriers for junior analysts
  • Curated hunts author-grade by SentinelOne threat intelligence
  • Evidence chains preserve analyst accountability
  • Tight integration with SentinelOne response actions
  • Scales threat hunting to a much wider team

Drawbacks

  • Requires SentinelOne Singularity platform as foundation
  • Enterprise pricing not suited to small businesses
  • Depends on quality of ingested telemetry for accuracy

📖 How to Use Purple AI

1

License Purple AI as part of a SentinelOne Singularity deployment through your account team.

2

Connect endpoint, cloud, and identity data sources to the Singularity Data Lake.

3

Grant analysts access via role-based permissions in the SentinelOne console.

4

Open Purple AI and ask a question in natural language or pick from the curated hunt library.

5

Review the evidence chain and pivot to related entities for deeper investigation.

6

Trigger containment or remediation actions directly from the investigation interface.

Purple AI FAQ

Yes. Purple AI is integrated with the SentinelOne Singularity platform and is not offered as a standalone product.

Purple AI runs on SentinelOne's Singularity Data Lake, which can replace or complement traditional SIEMs depending on how the deployment is scoped.

Purple AI returns evidence with every answer so analysts can verify conclusions. Accuracy depends on telemetry quality and retention but is transparent by design.

SentinelOne describes specific data handling commitments for Purple AI in its documentation. Customer telemetry is not used to train cross-customer models.

The library covers current MITRE techniques, active campaigns, insider threat patterns, and compliance scenarios, with continuous updates from SentinelOne's threat research team.

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