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ServerlessStack Elastic Machine Learning is a commercial mlsecops tool by Elastic. Portal26 is a commercial mlsecops tool by Portal26. Compare features, ratings, integrations, and community reviews side by side to find the best mlsecops fit for your security stack.
CST VerdictBased on our analysis of NIST CSF 2.0 coverage, core features, integrations, company size fit, here is our conclusion:
Security teams already running Elasticsearch will extract immediate value from Elastic Machine Learning for anomaly detection in log and metric data without additional infrastructure. The tight Kibana integration means your analysts can build, deploy, and iterate on detection models from the same interface where they're already investigating incidents, cutting the friction that typically buries ML tools. This works best for mid-market and enterprise shops with sustained log volume; smaller teams or those still building their observability foundation will find the learning curve steeper than rule-based alerting and may not justify the licensing cost.
Mid-market and enterprise security teams drowning in shadow AI will find Portal26's real value in its discovery engine, which actually catalogs unauthorized GenAI tool use across your organization instead of assuming you know what's running. The platform covers eight NIST CSF 2.0 functions from asset management through continuous monitoring, with particular strength in the ID and DE domains that let you find what you're missing before it becomes a breach. Skip this if your GenAI governance strategy is still "trust our policy document"; Portal26 assumes you need enforcement teeth, not another framework.
ML platform for anomaly detection, outlier detection, classification & regression
Enterprise platform for GenAI governance, security, risk mgmt & compliance.
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Common questions about comparing ServerlessStack Elastic Machine Learning vs Portal26 for your mlsecops needs.
ServerlessStack Elastic Machine Learning: ML platform for anomaly detection, outlier detection, classification & regression. built by Elastic. headquartered in United States. Core capabilities include Anomaly detection for time series data, Outlier detection for non-time series data, Classification for discrete categorical predictions..
Portal26: Enterprise platform for GenAI governance, security, risk mgmt & compliance. built by Portal26. headquartered in United States. Core capabilities include Shadow AI Discovery - identifies unauthorized GenAI tools in use across the organization, GenAI Risk Management - assesses and manages risks from GenAI usage, GenAI Prompt Protection - protects against prompt-based threats and data leakage..
Both serve the MLSecOps market but differ in approach, feature depth, and target audience.
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