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Marketplace › Security › Scanner  · Scanner alternatives

Scanner

The security data lake platform built for AI agents and modern security teams.

AiDOOS Verified SAAS Security
— ☆☆☆☆☆ 0 reviews
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Category
Security
Deployment
Cloud (SaaS)
Integrations
30+ Apps
API Access
Yes
AiDOOS Deploy
72 hours

About Scanner

Scanner is a cloud-native security data lake platform designed to help security teams retain, search, and analyze massive volumes of security data. It addresses the limitations of traditional SIEMs, which often force data loss due to high ingestion costs and limited retention. Scanner enables organizations to retain data indefinitely in their own S3 buckets, with sub-second search across petabytes, and continuous detection through a streaming query engine. The platform is built for the AI security era, offering native Model Context Protocol (MCP) support and an API-first architecture to enable AI-driven investigations and automation. With over 30 pre-built integrations and schemaless ingestion, Scanner simplifies data collection and enrichment. It is trusted by fast-growing companies like Ramp and Lemonade, who use it to increase security visibility, accelerate threat hunting, and improve detection capabilities. Scanner also emphasizes enterprise-grade security, with SOC 2 Type II certification, GDPR compliance, and data residency options. For deployment and adoption, AiDOOS enhances Scanner by providing expert guidance and managed services to help security teams seamlessly integrate Scanner into their existing infrastructure, optimize performance, and scale their security operations.

Challenges It Solves

  • High ingestion costs in traditional SIEMs force data loss and limited retention.
  • Slow and expensive queries in traditional data lakes make investigations prohibitive.
  • Vendor lock-in with proprietary formats traps data and makes migration difficult.
  • Traditional tools cannot handle cloud scale and AI workload performance requirements.

Screenshots

Scanner screenshot 1
Scanner screenshot 1

Use Cases

Threat Hunting

Search years of logs in seconds to uncover threats and indicators of compromise.

Security Operations (SecOps)

Streamline detection and response with continuous, real-time querying and alerting.

AI-Driven Investigation

Enable AI agents to autonomously explore data and generate reports via natural language.

Compliance and Forensics

Retain data for long periods to meet regulatory requirements and conduct forensic analysis.

Pricing

Custom pricing — built for your team

Scanner pricing is tailored to your organisation's size, integrations, and requirements. AiDOOS generates your proposal instantly — scoped & ready in seconds.

Multi-Tenant Managed Single-Tenant Managed Bring Your Own Cloud
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💡 Pricing insight from reviewers: Scanner's pricing is based on daily log volume and deployment type, with annual costs ranging from $50k to $275k for managed plans.

Key Features

Collect & Enrich

Build a security data lake in hours with schema-less ingestion and pre-built integrations.

Search & Investigate

Lightning-fast full-text search across petabytes, 100x faster than Athena.

Detections & Response

Streaming query engine continuously evaluates rules and alerts within minutes.

MCP & APIs

Fast access to the Security Data Lake via Model Context Protocol and API-first architecture.

AI-Native Platform

Designed for AI agents with sub-second queries and low query costs to enable iterative exploration.

Enterprise-Grade Security

SOC 2 Type II certified, GDPR compliant, with data residency options and full data custody.

What Reviewers Say

What works well

  • Cost-effective unlimited data retention with data stored in customer's own S3 buckets.
  • Sub-second search performance across petabytes, enabling rapid investigations.
  • Designed for AI workflows with native MCP support and affordable query costs.
  • Simplified data ingestion with pre-built integrations and schemaless architecture.

Common concerns

  • Primarily supports AWS, though integrations exist for other cloud providers.
  • Pricing is custom and requires contacting sales, not publicly transparent.
  • Newer platform may have a smaller community and fewer third-party resources.

Reviews

None
★★★☆☆
out of 5
By segment
Mid-Market100%
V
Verified Reviewer
"Effective SIEM with Quick Log Onboarding"
Adding new log sources in Scanner takes just minutes, and its indexing makes queries lightning-fast. I value writing detections as code for version control and the overall simplicity. Setup was straightforward, and the team is very responsive. New team members might face a learning curve, and there's no log source monitoring. With Scanner, I can quickly integrate new logs, store them long-term, and enjoy efficient indexing for fast queries.
S
Security Engineer
"Flexible and Affordable Log Management"
Scanner's flexibility is fantastic—I can ingest various log types and search them effectively. The indexing and categorization simplify management, and data appears well-formatted in a table with columns and values, making analysis easy. Queries are affordable, and using our own S3 buckets reduces costs versus other platforms. One challenge is re-ingesting data that wasn't collected due to gaps; more flexibility or guidance would be nice. I've missed logs after environment changes without notifications. Better documentation would also help—we had to manually tweak configurations that should've been automated. A diagram showing Scanner's architecture would clarify setup. Overall, I use Scanner to query logs outside our SIEM, access S3 data easily, and analyze events with a simple query language—it's flexible and cost-effective.
I
IT Security Engineer
"Swift Queries and Helpful Team"
The query speed is phenomenal, letting me scan terabytes of data in seconds. This is especially noticeable when creating detections on large datasets—latency is minimal. During live investigations, manual queries return almost instantly with some expertise. Their team also reacts quickly to feature requests; as design partners, we see delivered updates surprisingly fast. The downside is the query language documentation—it covers basics but lacks practical examples for specific functions. Also, there's no way to create a detection that crosses multiple sources, like correlating EDR and MDM logs. Plus, no native log source monitoring, so if a source stops, you might not notice immediately. Overall, Scanner is excellent for fast log querying and storage in security investigations, with responsive support.
V
Verified Reviewer
"Rapid Indexing and Smooth AI Integration"
Scanner impresses with its massive scale, ingesting and indexing tens of terabytes quickly. The cost-to-performance ratio is unbeatable. Ingesting data is a breeze—just drop raw files into an S3 bucket, and pipelines are ready. It's built for security engineers, not just devs. Data sovereignty is a plus since both data and indices stay in our AWS S3, full control for compliance. The AI integration with Claude-Code and the SDK is seamless. Onboarding took just a day. The main limitation is alerting: when events trigger, I can't selectively pull only relevant data from multiple indices; I get the whole message and must process it. That adds extra work. Still, Scanner indexes terabytes in seconds, slashing data analysis time. It's a fast, compliant-friendly platform with excellent AI support.
S
Small-Business (50 or fewer emp.)
"Rapid Log Search and Rule-as-Code on Your Own S3"
Scanner stands out by eliminating complexity—logs remain in your S3 buckets while being indexed and searchable. No more shipping data to third parties, unexpected ingestion bills, or endless query waits. The search speed is remarkable, especially the full-text search over unstructured data, which is crucial given real-world log messiness. Detection rules as code via GitHub align perfectly with modern practices, making it superior to UI-based rule builders. The only significant drawback is AWS-only support currently; GCP and Azure users are out of luck, though multi-cloud is promised. For AWS users, this is a game-changer, solving cost and speed issues. Traditional SIEMs force tradeoffs between log retention and budget, leading to gaps in visibility. Scanner removes that by leveraging S3's low costs, allowing indefinite log storage. Searches across months complete in seconds, transforming investigations and threat hunting—no more tiny time windows just to get results.
S
Security Engineer
"Easy Setup and Instant Query Performance"
The primary highlight is how flexible log ingestion is with Scanner. Any search tool or SIEM relies on easy data intake, and Scanner excels with direct S3 bucket ingestion, making data loading quick and straightforward. Query speed is another standout—I've only encountered such performance in a couple of other tools, and it's a major benefit alongside the easy ingestion. For teams, getting data in and retrieving it fast is what sets Scanner apart. Currently, the main limitation is its maturity; it's still evolving with frequent updates, which might pose challenges for teams wanting a seamless switch from an existing tool. The query language lacks complexity for advanced use cases, but I know it's actively being improved. That said, it served as a direct replacement for our previous search tool, with effortless integration and rapid onboarding. Having all logs centralized has boosted our security operations significantly.
C
CTO
"Instant Log Search and Outstanding Support at Scanner.dev"
Prior to adopting Scanner.dev, pulling up recent logs used to take over an hour, and older data often required days or never came back at all. Now, even with petabytes stored, searches return in seconds. That boost has massively improved our workflow, letting us pivot faster during investigations and spend less effort perfecting queries while focusing on natural exploration of logs during incidents. The customizable search and detection engine is excellent and keeps us centered on our priorities. The Scanner.dev team is top-notch—responsive, technically skilled, sincere, and patient, and they genuinely incorporate feedback. As a newer product, it lacks some features rivals offer, but it fully addresses our main issues, and the team's eagerness to evolve and align with industry needs is evident. Their ability to ingest and query enormous volumes of data in seconds, where other engines take hours or days, is genuinely remarkable. This product has transformed how we access and understand logs we hadn't even instrumented yet.

Reviewer Demographics

Top Industries

No data available

Enterprise Readiness

SOC 2 Type II
GDPR

Identity & Access

SSO✓ SAML
RBAC✓ Role-based access controls with customizable roles.
Audit Logs✓ 365-day retention

Data Security

At restAES-256
In transitTLS 1.2+
Key mgmtVendor-managed

SLA & Availability

Uptime SLA99.9%
RPO—
RTO—
Pen test—

Compliance & Portability

Data residencyAWS Regions
Data export✓ JSON, CSV
Right to erasure✗

Integrations

30+ total apps

AWS CloudTrail

Collect and index AWS CloudTrail logs for comprehensive cloud activity monitoring.

Native < 1 hour ⚡ AiDOOS Pre-wired

Okta

Ingest Okta authentication and directory logs to detect identity-based threats.

Native < 1 hour ⚡ AiDOOS Pre-wired

GitHub

Audit GitHub activities and events for repository and access monitoring.

Native < 1 hour

Tines

Automate workflows and incident response by connecting threat data with Tines.

Native 1-2 hours

PagerDuty

Trigger real-time alerts and coordinate incident response directly from Scanner detections.

Native < 1 hour

Snowflake

Integrate with Snowflake to enrich and query security data stored in your data warehouse.

Native 1-2 hours

1Password

Collect and index sign-in events and credential management alerts from 1Password.

Native < 1 hour

Wiz

Feed cloud security alerts and vulnerability findings from Wiz into Scanner for unified analysis.

Native < 1 hour

Governance & Compliance

EU AI Act

No data available

Data Processing Agreement

Data Processing Agreement DPA available

Sub-processors

No data available

Right to Erasure

No data available

Change Notifications

No data available

NIST AI RMF

No data available

AiDOOS Managed Deployment

Deploy Scanner in 72 hours

AiDOOS handles setup, CRM integration, SSO config, and user provisioning. Your team goes live — not your IT department.

12
Deployments
94%
Adoption rate
4.8/5
Post-deploy sat.
2-4 weeks
Time to value

Prerequisites

  • Active AWS account with S3 bucket access
  • SCIM or SAML SSO integration configured
  • Security log sources identified and accessible

Configuration Options

  • Integration with AWS CloudTrail
  • Integration with Okta
  • Integration with GitHub
  • MCP endpoint setup

How Scanner Compares

Product AI & Analytics Ease of Use Enterprise Features Pricing Integrations Mobile Experience Quick Setup Customer Support Rating Price/mo
Scanner This product
Excellent Good Excellent Excellent Good Poor Good Good — $Custom/user
Splunk Cloud
Good Fair Excellent Fair Excellent Fair Fair Good ★ 4.4 $150/user
Datadog
Good Excellent Good Fair Excellent Good Excellent Good ★ 4.5 $15/user
Snowflake
Excellent Good Good Fair Good Poor Fair Good ★ 4.3 $52/user
Virtual Delivery Center · A new delivery category

A Virtual Delivery Center for Scanner

Pre-vetted experts and AI agents in the loop, assembled as a delivery pod. Pay in Delivery Units — universal pricing across roles, seniority, and tech stacks. No hiring, no contracting, no procurement cycle.

  • Plans from $2,000 — Starter Pack, 10 Delivery Units, 90 days
  • Refundable on unused Delivery Units, anytime — no questions asked
  • Re-delivery guarantee on acceptance miss
  • Pre-flight delivery sizing — you see the plan before you commit
Get a delivery plan for Scanner What’s a Virtual Delivery Center?

How a Virtual Delivery Center delivers Scanner

Outcome-based delivery via AiDOOS’s VDC model.  Why VDC vs traditional consulting? →

Outcome-Based

Pay for results, not hours

Milestone-Driven

Clear deliverables at each phase

Expert Network

Access to certified specialists

Implementation Timeline

1
Discover
Requirements & assessment
2
Integrate
Setup & data migration
3
Validate
Testing & security audit
4
Rollout
Deployment & training
5
Optimize
Performance tuning
Schedule a Meeting

Frequently Asked Questions

What is Scanner?
Scanner is a cloud-native security data lake that provides fast, cost-effective search and analysis of security logs. It indexes data in your own S3 buckets and supports streaming detections, enabling teams to retain and query years of security data in seconds.
How does Scanner differ from a traditional SIEM?
Traditional SIEMs price based on ingestion volume and often limit retention due to high costs. Scanner stores data in your own object storage (S3) and uses specialized indexing to deliver sub-10-second search across petabytes at a fraction of the cost. It offers unlimited retention without the complexity of ETL.
What integrations does Scanner support?
Scanner offers 30+ pre-built integrations including AWS CloudTrail, Azure, Google Cloud, Okta, GitHub, Tines, PagerDuty, and more. You can also use its REST API to connect custom sources.
Is Scanner compliant with SOC 2 and GDPR?
Yes, Scanner is SOC 2 Type II certified and GDPR compliant, ensuring enterprise-grade security and data privacy.
How long does it take to deploy Scanner?
With AiDOOS, Scanner can be deployed in as little as 72 hours. Typically, you can connect your first log sources within 5 minutes and see value within 2-4 weeks.
Can Scanner be deployed in my own AWS account?
Yes, Scanner supports Bring Your Own Cloud (BYOC) deployment where the control plane runs in your own AWS account, giving you full control over data residency and networking.

Quick Stats

—
Rating
12
Deployments
72 hours
Live in
99.9%
Uptime SLA
Deployment Complexity
Moderate (3/5)
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Resources

Official Website

Vendor

Scanner
San Francisco, US
Verified Vendor

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