How Abstract Security Enhances Your AWS Security Lake Investment
Abstract Security unlocks the full potential of AWS Security Lake by solving its most critical gaps: data collection and reduction, real-time threat detection, and threat intelligence enrichment. Security teams use Abstract to collect, normalize, and analyze data in real time and easily route filtered, normalized data to AWS Security lake for storage. Together, Abstract and Security Lake provide scalable storage, real-time analytics, and operational efficiency.
Top 3 Reasons to Use Abstract Security with AWS Security Lake
AWS Security Lake is ideal for organizations looking to centralize security data across AWS accounts and services. However, it lacks built-in detection, enrichment, or easy onboarding of third-party sources. Abstract enhances AWS Security Lake by providing real-time analytics, seamless OCSF transformation, threat intelligence enrichment, and no-code integrations all without requiring custom pipelines or detection infrastructure.
Simplified Data Ingestion Framework
AWS Security Lake requires organizations to manually convert logs into OCSF format, build custom ingestion pipelines, before routing for storage.
Abstract removes this burden by offering Out-Of-The-Box no-code SaaS, Http, Syslog, and API integrations that automatically convert data into OCSF and enable easy routing and migration to AWS Security Lake - no scripts, no agents, no maintenance.
Efficient Data Volume Management
AWS Security Lake stores all ingested data in full fidelity, which can lead to rising costs in S3, Athena, and downstream analysis tools like OpenSearch or Amazon QuickSight. (Source: AWS Security Lake Pricing https://aws.amazon.com/security-lake/pricing)
Abstract reduces data volume by up to 80% before it reaches AWS Security Lake and provides cost-effective long-term retention through LakeVilla cold storage, helping teams control S3 and query costs without sacrificing visibility.
Expanded Detection Capacity and Flexibility
AWS Security Lake is a storage and aggregation layer but it offers no native detection or alerting capabilities, requiring users to build or connect external analytics tools.
Abstract adds an unlimited, real-time detection engine that processes identity, cloud, and SaaS events using streaming rules. Teams can run complex, multi-event detection logic with sub-second latency with no need for Athena queries, log parsing, or SIEM dependency.
Integrated Threat Intelligence Enrichment
AWS Security Lake does not provide built-in threat intelligence enrichment, and any correlation with third-party intel must be performed manually or in downstream tools.
Abstract enriches streaming data in real time with IOCs and threat feeds from providers like Flashpoint, Recorded Future, and other third party sources without manual uploads or additional cost.
Real-Time Detection Capabilities
Since AWS Security Lake has no built-in detection, teams must rely on batch querying tools like Athena (source: https://aws.amazon.com/awstv/watch/1efdfd4f3b1/), which introduces latency and requires SQL knowledge.
Abstract delivers real-time, low-latency detections directly from streaming data before it even lands in the S3 bucket, enabling immediate insights and alerting across AWS, multi-cloud, identity, and SaaS telemetry.