Buy Security Layers, Not Logos

Summary

The article explains what MSSP services may cover—and miss—and gives buyers practical questions for assessing business-specific monitoring and threat hunting. It emphasizes that AI can speed alert triage but does not replace business context or fresh threat intelligence

Key points

The author describes MSSP security operations in three layers: endpoint and log monitoring, detection scenarios tailored to business-critical processes, and threat hunting for emerging attacks.
Layer 2 starts by identifying critical processes and supporting systems, documenting harmful attack scenarios, collecting relevant telemetry, and monitoring for those scenarios.
Threat hunting can check an environment for signs of an emerging attack before generic detection rules are available; the article gives an example of reviewing VPN appliance sessions, account creation, and unexplained outbound connections.
The article says living-off-the-land activity requires context to distinguish administration from malicious behavior, and recommends baselines and logging such as process-creation auditing, WMI logging, and PowerShell logging.
Citing Mandiant’s M-Trends 2026, the article reports an estimated mean time to exploit of minus seven days and says exploits were the most common initial access method in its sample, at 32%.
The author argues AI can accelerate alert triage and help turn advisories into log queries, but its usefulness for business-specific detection depends on accurate asset and identity context.

Article Details

Defense Focus: Build detection and response beyond generic endpoint alerting by adding business-specific attack scenarios and threat hunting against current advisories before generic detections are available.
Detection Methods: Translate advisories and incident reports into specific questions about the environment, then query available logs for evidence.
Establish baselines for normal administrator activity and investigate exceptions using host, time, account, and process context.
Hunt for unexpected appliance sessions, account creation, or outbound connections, especially on network appliances without endpoint agents.
Correlate process activity with business context rather than treating individual built-in commands as proof of an attack.
Data Sources: Endpoint and server logs, including process-creation events and command lines
WMI logs
Detailed PowerShell logs
Identity and directory data
CMDB and asset ownership information
Network monitoring and firewall telemetry
Network-appliance session, account-creation, and outbound-connection records
Rule Types: Vendor detection rules or signatures for known attacks
Environment-specific hunting queries derived from advisories and incident reports; query language not specified
Platforms: Endpoint and server environments
Network appliances
Defensive Actions: Enable process-creation auditing that records command lines, WMI logging, and detailed PowerShell logging.
Baseline normal administrator behavior and investigate unusual built-in command use in context, including activity at unusual times or from unfamiliar accounts.
Inventory business-critical processes, assign owners, map supporting IT systems, and document the attack scenarios that could harm those processes.
Collect the telemetry required to monitor those scenarios, including endpoint, directory, CMDB, network-monitoring, and firewall data.
Convert new advisories and incident findings into targeted checks across available logs during the period before generic detections are deployed.
Ask MSSPs what business-specific scenarios they monitor, when those scenarios were last updated, and how they check for attacks not yet represented in a CVE or KEV entry.