Scanner
AI NativeThe world's fastest Security Data Lake. All of your data, instantly at your fingertips.
The world's fastest Security Data Lake. All of your data, instantly at your fingertips.
Published Oct 13, 2026
Common reasons cited by reviewers and vendor materials include:
Balanced view: more mature SIEM vendors may provide broader prebuilt dashboards, correlation frameworks, compliance reporting packs, and larger third-party ecosystems.
Searches did not surface prominent, high-signal community discussions specifically about Scanner.dev during this research run. That may indicate the brand has limited public community discussion, or brand name collisions with unrelated tools reduced visibility. General community discussion around SIEM and security tooling often highlights operational noise and triage overhead in security products; these are general market considerations rather than product-specific findings.
Based on reviewer commentary and product maturity indicators:
Highlights presented in vendor-published materials include long-term log retention with fast access and claims of high-performance querying across very large volumes of log data.
Critical evaluation: these metrics are vendor-published; methodology, assumptions, and workload characteristics are not independently audited in the public case study excerpt. Treat these as vendor-provided performance claims and validate through a proof of concept.
Highlights presented include addressing SIEM cost and visibility for high-volume sources, reported performance metrics (vendor-provided), and use of Terraform and GitHub CI/CD for detections-as-code workflows.
Critical evaluation: as with other vendor-published case material, reported performance assumes specific indexing, data layout, and query patterns. Reported results are directional and most applicable to teams comfortable with infrastructure-as-code and GitHub workflows.
Based on pricing examples and case studies, the product is best suited to:
Industries with high log volume and longer retention or compliance needs are likely fits, including SaaS/software, fintech/insurance, and regulated or security-sensitive environments.
Decision makers and users include CISOs, security engineering leads, detection engineers, incident responders, and SRE/infra engineers responsible for log pipelines to S3.
Scanner is a cloud-native security data lake with search and detection capabilities that operate directly over logs retained in customer-owned Amazon S3. Rather than re-ingesting data into a vendor-managed SIEM datastore, Scanner builds and stores index files alongside the logs in S3, enabling full-text search, continuous detections, alerting, and APIs (including MCP for AI-agent access).
Positioning is oriented toward:
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Based on reviewed sources and user commentary:
Vendor materials indicate ongoing feature development, but specific timeline commitments were not publicly documented in the reviewed materials.
Validated or strongly suggested attributes from reviewed materials:
Balanced view: more mature SIEM vendors may provide broader prebuilt dashboards, correlation frameworks, compliance reporting packs, and larger third-party ecosystems.
Gartner Peer Insights showed a small sample of ratings with generally positive scores in the snapshot reviewed; small sample sizes can introduce potential selection bias and should be interpreted with caution.
Representative quotes from reviews (paraphrased):
Negative reviews (low-star ratings) were not visible in the review snapshot used for this research, but the sample size was small.