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I, and the Abstract Security team are incredibly proud to announce our inclusion in the latest Security Data Pipeline Platform Market Guide, published by the Software Analyst Cyber Research (SACR).
This new report delves into one of the most critical evolutions in cybersecurity today: the rise of Security Data Pipeline Platforms (SDPPs) as the foundation for a modern, AI-ready Security Operations Center (SOC). In its analysis, SACR identifies Abstract Security as a standout player in the space, acknowledging our role in modernizing SOC infrastructure, our commitment to proactive and efficient security operations, and recognizing our integrated approach to data management and threat analysis.
Here’s what the SACR report had to say about Abstract:
“Overall, we were impressed with Abstract Security’s capabilities as a SOC pipeline and threat detection platform that goes beyond SDPP functionality. Abstract is positioning itself beyond traditional data pipelines by integrating advanced threat detection directly into the data streaming process.
Its streaming analytics include real-time correlation, behavioral anomaly detection, and threat intelligence matching, enabling contextual intelligence at the point of ingestion. By analyzing and acting on data as it flows, Abstract supports a more proactive detection posture, aligned with the needs of modern SOCs facing alert fatigue, data sprawl, and cloud-native complexity.”
-Francis Odum, Founder at Software Analyst Cybersecurity Research
Why This Matters: Overcoming the Limitations of Legacy SIEMs
The traditional SIEM model is facing significant challenges. It’s breaking under the sheer weight and variety of security telemetry generated by modern environments, leading to unsustainable costs and operational complexities. Outdated pricing structures based on ingestion volume penalize organizations for increased visibility, forcing difficult trade-offs between coverage and budget.
That’s why the Abstract Security Platform is redefining how security data is ingested, enriched, and analyzed in real-time. By providing security teams with the flexibility to stream, transform, and act on data before it reaches downstream analysis tools, we empower them to regain control. Our intelligent pipelines enable efficient data reduction, enrichment with critical context, and real-time analysis, ensuring that only high-fidelity, relevant data is forwarded for further processing and long-term storage.
How Abstract Security is Leading This Shift
The SDPP market is rapidly evolving, and Abstract is leading this shift, providing a platform that embodies these key characteristics:
- Integrated Analytics and Detection: We go beyond basic pipeline functionality by embedding real-time streaming analytics directly within the data flow. This enables immediate threat detection and correlation at the point of ingestion, reducing alert fatigue and accelerating response times.
- AI-Powered Intelligence: Our platform leverages AI for data enrichment, anomaly detection, and provides AI-generated explanations of analytical findings, making complex data more understandable and actionable.
- Intuitive, No-Code Interface: We offer a user-friendly interface for building and managing pipelines and conducting analysis. This empowers analysts to take control of their data without requiring deep technical expertise.
- Flexible Data Handling: We support robust data reduction and filtering capabilities, ensuring cost optimization and reduced noise.
- Enabling SIEM Evolution: Abstract isn’t just an augmentation layer—our platform is already being adopted by organizations as a full SIEM replacement, or as a crucial bridge during SIEM migrations, demonstrating our ability to handle both data ingestion and advanced analytics.
Learn More
We’re proud to partner with forward-thinking SOC leaders who are ready to make data actionable. I encourage you to check out SACR’s full report, as it provides a very deep analysis of the emerging SDPP market.
Also, check out our Applied Security Data Strategy eBook to see how we help organizations achieve tangible results like:
- Cut SIEM costs by 30 - 40%
- Route and enrich data in real-time
- Accelerate threat detection without reengineering your entire stack