Unify Your SIEM and Data Lake Without Replacing Splunk
Close detection gaps and cut SIEM costs by 80%
The Security Data Challenges for Enterprise SOCs
Enterprise Security Operation Centers (SOCs) need better threat detection over their expanding attack surfaces, but security has a data problem that makes threat detection and response more complicated than necessary.
Many SOCs leave half of their security data outside their SIEM, often due to the high costs of scaling resources in Splunk. This practice results in what Gartner defines as 'dark data'—information assets collected but not used effectively for threat detection. This dark data often exceeds twice the volume of data analyzed in the SIEM.
As a result, analysts engage in inefficient "swivel-chair" investigations across multiple systems: their SIEM (a limited primary source of truth), their EDR tool, and an Amazon S3 bucket, where excess data is offloaded without cross-correlation. This fragmented approach generates low-quality alerts and leads to severe alert fatigue among security personnel.
While cloud long-term storage may seem cost-effective, it significantly impairs threat detection capabilities. Indicators of compromise (IoCs) may exist in this dark data, but they remain hidden until threat actors have progressed far down the kill chain. Attempts to query this data using services such as AWS Athena often result in long wait times and unexpected costs, making timely incident response difficult. The promise of log rehydration also falls short, with limitations on restoring volumes and frequencies that make historical investigations impractical and expensive.
Mature security teams must take these challenges into consideration when thinking about scaling their detection engineering program and architecture.
Break Free From SIEM Lock-In with Anvilogic
Anvilogic is a multi-data platform SIEM that enables you to detect, hunt, and investigate seamlessly across your data platforms. It helps break the SIEM lock-in that drives detection gaps and high costs for enterprise SOCs. It is the first and only product on the market that enables detection engineers and threat hunters to keep using their existing SIEMs like Splunk and Azure while seamlessly adopting a scalable and cost-effective data cloud such as Snowflake for high-volume data sources and advanced analytics use cases.
With Anvilogic and Snowflake, you can:
Illuminate Dark Data with Snowflake Integration
Now with Anvilogic, you can...
Tap into Anvilogic’s ready-to-use Snowflake connectors that allow us to periodically schedule our expanding repository of over 800 Snowflake detections, updated weekly with new security use cases and advanced attack correlation patterns. Our modular architecture lets you deploy detection content directly where your data resides, delivering top-tier detections meticulously tested and validated by our in-house Anvilogic Forge Purple Team. These detections are enriched with metadata on threat actor groups and the TTPs (Tactics, Techniques, and Procedures) they defend against.
Our detailed tagging of each detection content helps identify the most relevant rulesets based on the data feeds present in Snowflake tables. With our AI Recommendation Engine, you can easily choose the best TTPs from our extensive library based on your available data feeds. Enhance your defense against MITRE ATT&CK TTPs with quantifiable coverage scores, and identify areas for improvement to close your detection gaps.
Case Study: Alteryx
With Anvilogic, Alteryx was able to enhance its threat detection capabilities. They can now:
- Build and deploy security threat detection use cases through a visual builder.
- Enhance maturity assessments via MITRE ATT&CK framework integration.
- Improve cost control by decoupling the detection layer.
Get Tuning and Detection Gap Insights Across Data Platforms
Now with Anvilogic, you can...
Reduce Alert Fatigue with Multi-Stage Attack Correlation
Now with Anvilogic, you can...
When higher-fidelity alerts are generated, Monte Copilot is ready to assist. Trained with Tier 3 Analyst expertise and access to common data sets and tools, Monte Copilot provides real-time answers for your triage needs. Transform slow, manual tasks into smarter, automated workflows with Monte Copilot's powerful functions, empowering your team to work more efficiently and effectively.
Case Study: Rakuten
With Anvilogic, Rakuten significantly improved its SIEM operations. They can now:
- Reduce false positives by implementing scenario-based detections.
- Improve alert fidelity through correlated detections.
- Streamline use case development with pre-built scenarios.
Anvilogic Architecture
Product Features:
- Forge Threat Research delivering over 1000s of ready-to-deploy detections (updated weekly) in SPL, KQL, SQL.
- Daily detections updated based on trending threats.
- Premium Threat Scenarios & Cloud Detection Content Packs.
- Hunting detection packs to detect anomalous behavior.
- Low-Code detection builder to create behavior pattern-based detections or risk based detection scenarios.
- Import your pre-existing rules to be standardized across all alert data.
- Frameworks, machine learning recommendations and documentation to help define testing (TTPs) all in one place.
- Automated end-to-end detection lifecycle management.
- Easy to clone/modify/deploy detections.
- Use case documentation.
- Automated maintenance.
- Versioning & audit history of changes.
- Parsing and normalization code management.
- End-to-end visibility of your SOC maturity based on data quality analysis, detection coverage across MITRE, and productivity metrics (ex. hunting, alert dwell time, etc.).
- Measurable technique coverage and gap analysis.
- Assessment validation testing integrated into maturity scoring framework.
- Hunting, Tuning, and Health Insights that continuously monitor your unique environment, escalate activity that requires attention, and remind you of crucial maintenance actions.
- Hunting Insights delivered to help identify high-fidelity alerts and suspicious patterns across raw event logs.
- Detection recommendations based on your industry threat.
- Landscape, infrastructure, and MITRE ATT&CK coverage/gaps.
- Data prioritization & recommendations based on your unique environment.
- Automated Tuning recommendations to ensure your deployment is performing optimally.
- Licensing: annual subscription model based on the user count.
- SaaS Deployment: Meta data, analytics, insights, audit logs, alerts, allowlisting, and enrichment stored in Anvilogic Alert Lake.
- Ability to search, query data, and deploy detections across multiple SIEMs and/or cloud data lakes.
- Able to automatically tag, normalize, and enrich detections before storage for optimal correlation.
- Highly flexible, open API platform that integrates with many existing security technologies.
- Supported Data Platforms: Splunk (On-Prem & Cloud), Azure Data Explorer, Azure Log Analytics, Snowflake (AWS, Azure, GCP).
- SOAR Integrations: Torq, Tines, XSOAR, Swimlane, more.
- Case Management Integrations: Jira, ServiceNow.
- Security Vendor Integrations: Crowdstrike, Proofpoint, Palo Alto Cortex, Tanium, VMware Carbon Black, Microsoft Defender, StackRox, DarkTrace, SentinelOne, ReversingLabs, Hunters, Abnormal Security, and more.
- Alert tuning, allow listing, triage observations.
- Alert triage assisted by the link analysis of the hunting graph.
- Triage across multiple hybrid cloud, cloud, and data lakes.
- Visualize alert attack pattern and timeline.
- We supply detections across multiple data repositories, allowing you to easily query different sources and centralize them for seamless correlation in one location.
- SecOps Companion trained across various SOC personas for investigation & detection building assistance.
- Access to common tools and data sets used by analysts for triage ex) VirusTotal, Shodan, IPInfo, and more.
Maximize SIEM Efficiency and Cut Costs
Anvilogic empowers detection engineers and threat hunters to enhance their current SIEM setup. By integrating a scalable and cost-effective data lake, you can manage high-volume data sources and advanced analytics without disruption.
Achieve up to 80% cost savings while closing detection gaps and reducing expenses for your SOC.
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