MSSP Security Delivery Benchmark 2027: Definitions, Methodology, and Release Status

Reviewed by Stan Golubchik, Founder and CEO · Updated 2026-08-12

The ContraForce MSSP Security Delivery Benchmark defines the evidence required to publish and compare security-delivery performance claims. The planned 2027 study will report the pending MSSP operator survey separately from ContraForce product telemetry and customer-reported outcomes so readers can understand what each figure does and does not prove.

This evergreen methodology replaces the year-specific benchmark URL. As of August 12, 2026, no 2027 benchmark results have been published: the operator survey is not in field, and no telemetry row has passed the public validation gate. ContraForce has not published a complete cross-provider dataset, deidentified incident sample, or independent validation package. Until those materials are available, this page is a measurement standard rather than an industry benchmark result.

Release status

Measurement boundary

Security delivery begins when an eligible incident becomes available to the operating workflow and ends when the agreed service outcome is recorded. Detection efficacy, incident response, customer communication, and recovery can involve different systems and owners, so a metric must state exactly which part of the chain it measures.

A common delivery chain includes:

• Incident availability from a connected security control
• Triage and evidence collection
• Investigation and supported verdict
• Approval and response action
• Ticket synchronization and customer communication
• Closure, reporting, and procedure improvement

Required fields for every published claim

Metric definitions

Response time

Response time is not interchangeable with detection, acknowledgement, investigation, containment, resolution, or recovery time. A publication must name the start and end events and disclose whether it reports a mean, median, or percentile.

Automation rate

Automation can refer to a recommendation, completed investigation, response action, ticket update, or closure. State the exact outcome and include only incidents eligible for that workflow version.

Analyst-touch reduction

Define the unit being reduced: incidents, tickets, minutes, steps, or escalations. A before-and-after comparison must use comparable periods and explain changes in customer mix, alert policy, integrations, and staffing.

Time to operational readiness

State whether the clock begins at contract signature, tenant-consent completion, integration connection, or another event. State whether the endpoint means signal visibility, first eligible investigation, or full production approval.

Delivery economics

Cost and margin claims must disclose included labor, software, infrastructure, overhead, incident volume, service revenue, and customer mix. Customer-reported outcomes must be labeled as such and must not be generalized to all providers.

Data-quality rules

• Keep event boundaries stable within a metric version.
• Preserve the denominator; begin a new version when eligibility rules change.
• Exclude tests only through documented, reproducible rules.
• Report failed and incomplete workflows rather than silently dropping them.
• Separate customer-specific results from aggregate product telemetry.
• Do not combine values from different populations into one universal outcome.
• Expire or remove a claim when its source, definition, or review window is no longer valid.
• Retain a changelog so historical publications can be interpreted correctly.

Statistical and privacy gate

A public result must include the valid observation count and contributing-provider count. Elapsed-time measures require median, P90, and P95 when the cohort supports them; rates require numerator and denominator. Every table must state whether providers are weighted equally or by incident volume. Missing values remain missing and are never converted to zero.

Before publication, the data owner and privacy reviewer must confirm the extraction or survey-instrument version, reconcile included and excluded counts, reproduce every aggregate from a frozen input, remove direct and indirect identifiers, suppress re-identifiable cohorts, and verify customer consent for named results. An independent reviewer must reproduce the tables before a release is described as validated.

Publication package for the 2027 research release

The planned research release should include:

• A methodology version and changelog
• Field definitions and calculation examples
• Population and sample-size disclosures
• Eligibility and exclusion rules
• Median and relevant percentile distributions, not only averages
• Limitations and potential sources of bias
• Deidentified CSV and JSON samples that pass privacy review
• Accessible charts derived from the published data
• Clear separation between an operator survey and ContraForce product telemetry

Open benchmark downloads

• Methodology
• Field definitions
• Deidentified row schema
• CSV sample — header only until rows pass review
• JSON sample — empty until rows pass review
• Changelog
• Claims registry

Interpretation limits

Voluntary participation may create selection bias. Product telemetry represents participating ContraForce deployments rather than the MSSP market. Survey answers and customer economic outcomes are self-reported. Provider operating model, customer mix, licensing, geography, incident mix, staffing, autonomy policy, and accounting practices can materially affect results. Observational results do not establish that a product caused an outcome, and no customer result is guaranteed.

How buyers should use this methodology

Ask every vendor the same questions:

• What event starts and stops the clock?
• Which incidents are eligible or excluded?
• Is the value a mean, median, percentile, proportion, or selected example?
• What population and time window does it represent?
• Does automation mean recommendation, investigation, response, or closure?
• Who supplied and verified the data?
• Can the result be reproduced in a controlled proof of value?

Standards context