The SIEM has been the cornerstone of the enterprise SOC for over twenty years. It promised visibility, correlation, and compliance in a single platform. And for a while, it delivered. But the threat landscape has fundamentally changed, and the SIEM architecture hasn't kept up. Today's security teams are drowning in alert backlogs, spending 60% of their time on false positives, and still experiencing breaches that should have been caught. The question is no longer whether the SIEM is underperforming. It's what comes next.
Key takeaways:
- Legacy SIEMs were architected for a pre-cloud world and require constant manual tuning to stay operational.
- Every SIEM alert still requires a human analyst to investigate, the SIEM doesn't actually do anything autonomously.
- Alaris replaces the SIEM-plus-analyst model with an AI platform that detects, investigates, and responds without human orchestration.
- Organizations moving from SIEM to Alaris report 90%+ reductions in mean time to respond and alert backlog.
What Is a Legacy SIEM?
A Security Information and Event Management (SIEM) platform collects, aggregates, and correlates log data from across an organization's environment. It produces alerts when predefined rules are triggered. The most widely deployed legacy SIEMs, Splunk, IBM QRadar, Microsoft Sentinel (legacy configuration), and ArcSight, share a common architecture: ingest logs, run correlation rules, generate alerts, hand off to an analyst.
The SIEM itself does not investigate. It does not contain. It does not remediate. It surfaces a signal and stops. Everything after that, determining whether the alert is real, understanding what happened, deciding what to do, falls to a human analyst. In a world where enterprise environments generate millions of events per day, this model creates a structural bottleneck that no amount of tuning or staffing can fully close.
Core SIEM capabilities:
- Log aggregation from endpoints, network devices, cloud workloads, and applications
- Rule-based correlation to surface suspicious activity patterns
- Compliance reporting and long-term log retention
- Dashboard and query interface for analyst investigation
- Alert generation routed to a SIEM queue or ticketing system
Key limitations:
- Rule-based detection misses novel and low-signal attacks
- Every alert requires manual analyst triage, no autonomous action
- High false positive rates (industry average: 45% of alerts are false positives)
- Expensive per-GB ingestion pricing creates perverse incentives to reduce coverage
- Mean time to respond averages 16+ hours industry-wide with SIEM-centric SOCs
What Is Alaris?
Alaris is an Autonomous Enterprise Platform (AEP), a new category of security platform that handles the full security operations lifecycle autonomously. Where a SIEM stops at detection, Alaris continues through investigation, threat hunting, detection engineering, containment, remediation, and recovery, all without requiring an analyst to act.
At its core, Alaris is built around two proprietary data structures: the Security Graph and the Security Lake. The Security Graph models every entity, relationship, and behavior across the enterprise environment in real time, enabling AI agents to understand attack context the way a senior analyst would, but in milliseconds. The Security Lake provides a unified data layer purpose-built for security workloads, eliminating the ingestion-tax problem that makes SIEM coverage economically unviable at scale.
Alaris AI agents operate in parallel across every active threat, running autonomous investigations, correlating indicators across endpoints, cloud, identity, and network, and executing responses through its Unified Response engine. Human analysts interact with Alaris through the Security Workbench, not to triage alerts, but to review completed autonomous work and handle the narrow set of decisions that genuinely require human judgment.
Alaris vs. Legacy SIEM: A Direct Comparison
When a Legacy SIEM Might Still Make Sense
Legacy SIEMs remain a reasonable choice in a narrow set of circumstances. If your organization has strict compliance requirements that mandate specific log retention formats your current SIEM satisfies, migration carries compliance risk. If your security team has deeply invested in custom SIEM queries and dashboards that would take years to rebuild, the switching cost is real. And if your threat environment is genuinely low-complexity, a small organization with limited cloud footprint, the cost of a full AEP may not be justified yet.
That said, most organizations citing these reasons are using them to delay a necessary transition rather than as genuine architectural reasoning. The compliance argument in particular often dissolves under scrutiny, modern platforms like Alaris support the same log formats and retention periods that SIEMs provide.
When Alaris Is the Right Choice
Alaris is purpose-built for organizations where the security operations gap is real and growing. If your SOC is struggling with alert volume, analyst retention, MTTR, or the cost of SIEM + SOAR + headcount stacking, Alaris addresses all of these simultaneously.
- Alert backlog exceeds what your team can realistically clear
- MTTR is measured in hours rather than minutes
- You are running SIEM + SOAR + EDR as separate tools requiring separate analyst workflows
- Analyst burnout and retention is becoming a strategic risk
- You are facing increasing cloud and endpoint complexity that SIEM rule coverage cannot keep up with
“We were spending three analysts full-time just managing the SIEM queue. After Alaris, that queue doesn't exist. The same three analysts now focus entirely on detection engineering and threat intelligence work.”
, Head of Security Operations, Enterprise Financial Services
Marcus Webb
Senior Security Research Analyst
Marcus leads competitive security research at Alaris, with a decade of experience modernizing enterprise SOC environments across financial services and critical infrastructure.