Detect, investigate, respond. In your sleep.

Managed Detection and Response (MDR) is a service that monitors your environment for threats, investigates suspicious activity, and responds to confirmed incidents on your behalf. Traditionally it has meant outsourcing to a team of human analysts in a third-party SOC.

AI-powered MDR replaces most of that human triage layer with an AI SOC analyst. Vigilense investigates every alert in your environment 24/7, enriches it across 50+ threat-intelligence and identity sources, decides whether it is a real threat, and either resolves it automatically or escalates to your team with a full investigation packet attached. Humans stay in the loop for the decisions that matter; the AI handles the volume.

Three things make Vigilense fundamentally different from providers like Arctic Wolf, Expel, Red Canary, or eSentire:

1. Your data stays put. Traditional MDR copies your logs into the provider’s cloud and charges per gigabyte ingested. Vigilense queries your data where it already lives (Snowflake, OpenSearch, Sentinel, S3, BigQuery), so there are zero ingestion fees and no data movement.
2. Every alert gets a full investigation. Human analysts can’t scale to investigate every alert in a busy environment, so traditional MDR triages and drops the long tail. Our AI SOC analyst investigates 100% of alerts end-to-end, every time.
3. No vendor lock-in. Because your data never moves to us, you can leave at any time without a painful, multi-month re-ingest. You keep your data, your detections, and your audit history.

Most customers are running detections and seeing investigations within 5 business days of contract signature. The typical timeline:

• Day 1: Read-only connector configured to your existing database (OpenSearch, Snowflake, Sentinel, S3, etc.). No agents installed, no data migrated.
• Days 2-3: Detection rules tuned to your stack and your high-value assets. Identity, EDR, and threat-intel enrichment sources wired up.
• Day 4: AI SOC analyst runs in shadow mode so you can review verdicts before they trigger action.
• Day 5: Go live with the response actions and notification channels you’ve approved (Slack, Teams, PagerDuty, Jira, ServiceNow).

Larger environments with custom integrations may take 2-3 weeks. We do the work; you don’t need to staff a deployment project.

Keep it. Vigilense was built to run on top of the SIEMs and data lakes you already own, not to replace them.

We connect read-only to Splunk, Microsoft Sentinel, Elastic, OpenSearch, Chronicle, and others. Your existing detections, dashboards, and historical data keep working exactly as before. Vigilense adds the AI investigation and response layer on top, so you get measurably more value out of the SIEM spend you’ve already committed to.

If you ever decide to move off your current SIEM, Vigilense makes that switch low-risk because the detection layer is decoupled from any specific vendor.

Three components, each predictable:

• Platform subscription: A flat annual fee for the AI SOC analyst, the detection engine, and the investigation workflow. Scales with your organization, not your log volume.
• Per-investigation usage: Pay only for alerts the AI actually investigates. Pricing starts around $4 per investigation at midmarket volumes, lower at scale.
• Ingestion: $0. Always. Because your data never moves to us, there is nothing to ingest.

Most midsize customers see a 50-70% reduction in total SIEM + SOC spend compared with their previous stack. We’ll run the numbers against your current environment during the risk-free pilot. See full pricing details →

Yes. Data sovereignty is the foundation of how Vigilense works.

• Your data never leaves your infrastructure. We query it in place. We do not copy, move, replicate, or store it on our side.
• Read-only access by default. The Vigilense connector has read-only credentials to your databases. Write access is granted only to the specific response actions you explicitly approve.
• Encryption in transit and at rest. All connections use TLS 1.2+. All credentials are stored in a managed secrets vault.
• Full audit trail. Every query the AI runs, every verdict it reaches, and every response action it takes is logged with chain-of-custody for compliance and post-incident review.
• Compliance posture. SOC 2 Type 1 in progress. GDPR-aligned data handling. Architecture supports HIPAA, PCI-DSS, and regulated workloads because data stays within your existing boundary.

Vigilense is database-agnostic by design. Current first-class integrations include:

• Data platforms: Snowflake, Databricks, Google BigQuery, Amazon S3, AWS Security Lake.
• Search engines: Elasticsearch, OpenSearch, Splunk, Microsoft Sentinel.
• Identity: Okta, Microsoft Entra ID, Google Workspace, Duo.
• Endpoint & XDR: CrowdStrike, SentinelOne, Microsoft Defender, Sophos.
• Cloud: AWS CloudTrail, Azure Activity Logs, GCP Audit Logs.
• Response & ticketing: Jira, ServiceNow, Slack, Microsoft Teams, PagerDuty.

If your data source has a SQL-compatible interface or a documented API, we can almost certainly query it. The pilot includes any custom connector work needed for your environment.