Security teams don’t need more alerts. They need better signals. That’s the driving force behind a new
partnership between
Abstract Security and
SentinelOne, aimed at helping organizations move faster and smarter across their security operations.
At the core of this collaboration is the integration of Abstract’s real-time, AI-enhanced data pipeline with SentinelOne’s Singularity™ Platform. It’s a focused attempt to address a persistent challenge: the overwhelming volume of security data, much of it irrelevant, that slows down detection and response.
Built for Speed and Precision
Instead of relying on traditional workflows that collect everything and sort it out later, Abstract flips the model. It processes data as it streams in, filters out the noise, and feeds only high-value information into SentinelOne’s AI-powered engine.
Mike Anderson, VP of Business Development at Abstract Security told MSSP Alert, “Abstract Security enables customers to get the most security relevant data into SentinelOne from hundreds of integrations including many SaaS platforms such as Salesforce, Workday and GitHub. By filtering, aggregating, transforming, and enriching data, SentinelOne’s AI platform will be provided with the most useful and complete data for security operations.”
That combination of curated input and real-time detection changes the math on response speed. “With Abstract's streaming detections, customers can detect malicious activity at line speed in seconds, and those detections provide additional context to SentinelOne,” Anderson added.
The result is a tighter feedback loop: fewer false positives, faster time-to-response, and less analyst fatigue. For teams struggling with bloated SIEM deployments, this kind of filtering and enrichment could be a meaningful shift in how they operate.
No-Code Setup, Lower Cost, Smarter Architecture
On SentinelOne’s side, the Singularity™ Platform provides endpoint, cloud, and identity protection through a combination of behavioral AI and automated response. Abstract complements that by handling the front-end pipeline, acting as a specialist in collection, normalization, and enrichment. “Abstract Security's ASE is an expert in data collection, reduction and analysis, complementing the roles of PurpleAi's focus on SentinelOne’s platform and longer term queries,” Anderson explained.
For existing SentinelOne customers, the integration doesn’t add friction. “The partnership keeps things simple,” said Anderson. “Abstract owns the add-on, SentinelOne owns the core platform. Existing SentinelOne customers do not get Abstract turned on by default. Instead, they can enable Abstract with a quick provisioning step that takes minutes and requires no new agents.”
This separation of roles also streamlines billing and operations. “For enterprise teams and managed service providers the workflow is the same. Point security telemetry through Abstract, let the platform filter and normalize to OCSF, then forward the high-value events into SentinelOne. Billing is tied only to those security-relevant logs, so customers reduce overall SIEM spend while keeping every detection intact,” Anderson noted. “The result is an integration that feels native, onboards fast, and lets users focus on outcomes, not ingestion math.”
Why This Matters Now
As budgets tighten and security workloads grow, organizations are under pressure to reduce risk, modernize outdated tools, and get more from their existing platforms. The Abstract-SentinelOne partnership offers a practical path forward, improving detection, reducing cost, and avoiding rip-and-replace disruption. For security teams looking to move beyond the limitations of legacy SIEMs, this is a streamlined, AI-driven approach built around relevance, not redundancy.
