ArcSight Logger lineage
Two decades of forensic log analytics deployed in regulated environments. The cold-storage companion to ArcSight ESM is now the long-retention tier inside the broader SecOps line.
OpenText • Security operations
Security Log Analytics carries the ArcSight Logger lineage with long-retention log analytics for hunt, investigation, and compliance, paired with Core Threat Detection and Response or Enterprise Security Manager so the SOC has hot detection plus cold forensic depth.
When Merito stands up Security Log Analytics, the engagement designs hot/cold tiering against the customer's compliance retention windows, places high-value data classes in hot SIEM and high-volume classes in cold storage, and operationalizes hunt and IR query workflows on the long-retention tier.
What it is
Security Log Analytics carries the ArcSight Logger lineage. Logger has been the long-retention forensic log store for ArcSight ESM customers for two decades, providing the cold storage tier behind the hot SIEM. OpenText now ships that engine as Security Log Analytics, integrated natively with Core Threat Detection and Response (SaaS SIEM) and Enterprise Security Manager (on-prem SIEM). The product covers the long-retention half of the SOC, meaning hunt, post-incident investigation and compliance reporting on data older than the SIEM's hot retention.
Long retention is the load-bearing requirement. Hot SIEM economics break down at retention windows beyond 90 to 180 days, but compliance regimes routinely require 1, 3, or 7-year retention on security logs. Programs running hot SIEM only either pay punishing prices to extend retention or lose the data to compliance gaps. Security Log Analytics handles the long-retention tier economically, so the program keeps audit-ready data for hunt and investigation without inflating SIEM costs.
Hot detection runs in Core TDR or Enterprise Security Manager, and cold forensic data sits in Security Log Analytics. The boundary between the two is configurable per data class, so high-value classes (security events, IAM logs, sensitive application logs) stay hot longer while low-value or high-volume classes move to cold faster. Pairing hot SIEM with this cold tier gives forensic depth, and running hot SIEM alone means paying too much for too little retention.
Hot/cold boundary drift is how Security Log Analytics deployments fail. Programs that adopt the product without designing the ingestion-and-retention policy end up with everything in hot SIEM (defeating the purpose) or everything in cold storage (losing detection coverage). Implementation designs the data-class policy, deciding which logs go hot, which go cold, when the boundary moves, and how compliance retention windows map to operational tiers. Without that, the product becomes a backup tape of logs nobody queries.
Ideal use cases
What it is best at
Two decades of forensic log analytics deployed in regulated environments. The cold-storage companion to ArcSight ESM is now the long-retention tier inside the broader SecOps line.
Handles 1-, 3-, or 7-year retention windows economically. Programs avoid hot SIEM pricing on data that does not need real-time detection.
Native integration with Core Threat Detection and Response and Enterprise Security Manager. The hot/cold boundary is configurable per data class.
Beyond storage into queryable analytics. Threat hunters and IR investigators run cold-storage queries for hunt and timeline work.
Audit-ready evidence for multi-year retention mandates under SOC 2, HIPAA, PCI DSS, and SOX.
Core capabilities
What Security Log Analytics actually does on the cold tier.
Multi-year log retention
1-, 3-, 7-year retention windows on high-volume logs at economical price points.
Hunt-ready query performance
Beyond cold-archive storage into queryable analytics for hunt and IR investigation.
Hot-to-cold tiering
Configurable boundary between hot SIEM detection and cold forensic storage.
Compression and indexing
Index-aware storage that keeps queries fast on high-volume retained data.
Cold storage that the SOC actually uses.
Threat hunting workflow
Hunt programs anchored on long-retention data with adversary-tradecraft context from Core Adversary Signals.
Post-incident timeline reconstruction
IR queries across multi-year retention for timeline reconstruction and root-cause analysis.
Compliance hunting
Compliance-driven hunts (regulated retention queries, audit responses, legal hold).
Cold storage inside the SecOps line.
Hot SIEM integration
Native pairing with Core TDR and Enterprise Security Manager for hot/cold tiering.
Adversary content integration
Hunt queries enriched with Core Adversary Signals MITRE content.
Threat-intel enrichment
OpenText Threat Intelligence IOCs applied to long-retention data for retroactive matching.
Compliance reporting
Retention evidence for SOX, PCI DSS, HIPAA and SOC 2 mandates, still queryable years after the events.
Where it fits in the stack
Deployment and implementation
Licensing and packaging
Security Log Analytics SaaS
SaaS-deployed long-retention log analytics paired with Core Threat Detection and Response.
Best for: Cloud-native SOCs running OpenText SecOps line in SaaS.
Security Log Analytics on-prem
On-prem long-retention log analytics paired with Enterprise Security Manager.
Best for: Regulated programs running ESM on-prem.
Security Log Analytics hybrid
Mixed cloud and on-prem long-retention storage.
Best for: Programs running mixed SOC architecture.
Merito services
Pick the engagement that matches where you are in the lifecycle.
Ingestion-and-retention policy design, hot/cold tiering, hunt workflow operationalization, SecOps line integration.
Explore serviceSOC program scoping for Security Log Analytics alongside Splunk, Devo, and Cribl.
Explore serviceNamed engineer, priority SLAs, and release-time coverage for Security Log Analytics.
Explore serviceLong-term run support including ingestion-and-retention policy maintenance, hunt-program evolution, and SecOps integration upkeep.
Explore serviceRetention-policy workshops and hunt-query training for SOC analysts, threat hunters and compliance leads.
Explore serviceThreat hunters and log engineers who work the long-retention tier, embedded in your SOC.
Explore serviceOpenText Security Log Analytics licensing
Security Log Analytics pricing arrives with ingestion-and-retention policy design, hot/cold tiering, hunt operationalization, and SecOps line integration that turn long-retention storage into hunt-ready forensic depth rather than backup tape.
Merito point of view
Some SOC programs pay steep prices to keep two years of logs in hot SIEM, and others lose data to compliance gaps because hot SIEM retention only covers 90 days. The right shape is hot SIEM for detection plus a long-retention tier for hunt, IR and compliance. Security Log Analytics is that tier, and hot SIEM alone costs too much for too little retention.
Security Log Analytics fits programs running OpenText SecOps products, with real compliance retention windows and hunt programs mature enough to use cold-storage analytics. For Splunk-anchored SOC architectures, Splunk's federated search across hot and cold tiers is a serious option, and Devo and Cribl offer specialist log analytics breadth. Scoping lays those options next to each other.
Where the hot/cold boundary sits is the key operational decision. Programs that adopt Security Log Analytics without a data-class policy end up with everything in hot SIEM (defeating the purpose) or everything in cold storage (losing detection coverage). That boundary is settled in the first weeks of implementation.
What buyers usually underestimate
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Frequently Asked Questions
Consultation request
Share your hot SIEM landscape, retention compliance mandates, and hunt-program maturity. A Merito OpenText specialist follows up within one business day.
ArcSight Logger lineage
Two decades of forensic log analytics. Multi-year retention at economical price points.
Hot/cold tiering
Native pairing with Core TDR and Enterprise Security Manager. Configurable per data class.
Next step
A Merito Security Log Analytics engagement starts with hot/cold tiering policy and hunt operationalization. Hot SIEM alone is too expensive for retained data; cold storage alone is too slow for detection.