Purple teaming used to be a calendar event, one or two collaborative red and blue sessions a year, scored on whether alerts fired. More programs are moving toward continuous validation, and the shift exposes something the annual scorecard hid. A passing exercise result and complete detection coverage are two separate claims, and one does not prove the other.
Purple teaming is a structured, collaborative exercise where offensive operators execute specific, MITRE ATT&CK-mapped techniques while defensive analysts watch the same detection surface in real time. Each technique resolves to one of three outcomes as it runs.
Technique-by-technique correlation is what separates purple teaming from a general resilience assessment. A program-wide grade tells the team nothing about which rule to fix. Both Rapid7 and secure.com frame the practice as measurement.
That third outcome is the one to watch. A technique producing no trace can mean the rule was missing, or it can mean the log source was never reachable. The exercise by itself does not say which, and the rest of this guide turns on that gap.
A red team engagement withholds its findings by design. The operators work quietly, the defenders react to what they can see, and the full picture arrives weeks later in a report. Purple teaming runs in the open, and that changes what the exercise can measure. When the blue team knows a technique executed at 14:32 against a specific host, the absence of an alert becomes a data point in the moment rather than something reconstructed from a timeline weeks later.
Automated breach-and-attack-simulation (BAS) tooling validates known rules against a generic or assumed-compromise scenario. That has real value for regression testing. Purple teaming goes after your actual exposures instead, starting with the misconfigured identity provider, the flat network segment, and the cloud role with a wider trust policy than anyone intended. The techniques run because they are plausible here, and the results describe this environment rather than a generic one.
Real-time collaboration is the differentiator. It is the only one of the three arrangements where a missed detection gets diagnosed while the technique is still fresh.
Three things define the format.
The first two rows describe work a detection engineer can scope immediately. The third stays ambiguous, for reasons the next section explains.
None of these produce an error, which is the operational argument for continuous validation. The gap surfaces only when somebody runs the technique that should have caught it.
The scale is measurable. CardinalOps' analysis of production SIEMs found 13% of existing detection rules are non-functional on average and will never fire, largely from misconfigured data sources and missing log fields. Those rules sit in the console and get counted in coverage reports. They just do not work.
Permiso documented an AI agent running Scattered Spider techniques against a live AWS environment, executing the sequence and reporting detection outcomes without an operator driving each step. That is one documented case, worth reading as exactly that rather than as evidence the practice generalizes.
The harder question is judgment. An agent deciding whether a missed technique reflects a coverage problem or a tuning problem is making a call that depends entirely on what it can see and what it is scoped to conclude. A demo that completes the sequence does not establish those verdicts were correct, and the same caution applies to any agentic SOC workflow drawing conclusions from log data.
A quarterly cadence compounds. Each cycle produces a specific list of techniques with named failure states, and a specific list is easier to fix than a general sense that coverage could be better. A team rerunning the same set every quarter also learns which detections keep regressing. An annual exercise cannot produce that.
The bigger benefit is same-session gap discovery. In a penetration test, the team hears about a gap weeks later, by which point the analyst on shift has moved on, the retention window may have rolled, and the environment has drifted. In a purple team exercise, the gap surfaces while the exercise is live, with the operator available to rerun and the raw telemetry still searchable. Reducing that lag is one of the more direct ways to compress mean time to detection, because the fix cycle runs in hours.
Most ATT&CK techniques are not covered by any detection rule. Two measurements, from studies measuring different things.
They are not points on one curve. They land in the same place anyway.
When an exercise reports "no trace," that single result cannot distinguish a detection engineering gap from a log source that was never reachable. Both produce identical silence in the SIEM, and each wrong default costs a cycle.
The register needs an architecture underneath it that keeps both causes inspectable before the next retest. Strike48's 2026 survey of 100 security leaders found 65% have had an investigation stall because data was trapped in a system their tools could not reach. A "no trace" result quietly inherits that same failure.
Strike48's search-in-place connectors query logs directly in S3, Splunk, Elastic, and existing data lakes, without migrating a byte. An analyst can check whether the relevant source was ingested, searchable, and present for the exercise window. That check converts an ambiguous result into a scoped task and turns a gap register into remediation work. Without it, the same finding comes back every quarter. Teams running Strike48 alongside an existing SIEM treat it as SIEM augmentation that leaves the migration project off the table.
A purple team exercise tells you where a technique produced no trace. Which of the two causes it was comes down to whether your log architecture can show you, which makes it an architecture problem before it is a detection-engineering one.
Strike48 runs demos built around this evaluation, including a live agent demonstration and a walkthrough of the audit trail behind every agent action. Bring your last gap register, or the techniques you suspect would come back silent, and we will work through your coverage picture. Request a demo.
A tabletop is a discussion-based walkthrough of a hypothetical scenario. Purple teaming executes real techniques against live detection tooling and measures what the tooling produces. Tabletops test decision-making and process; purple teaming tests detection.
Blue teaming is the defensive side of security operations. The blue team monitors, detects, triages, and responds using the SIEM, EDR, and detection content already running in production. Where a red team tries to get in, the blue team is measured on whether it noticed and how fast it acted. Purple teaming puts both on the same exercise at the same time.
The annual cadence is giving way to quarterly or continuous validation, because detections break between exercises without announcing themselves. Quarterly is a reasonable floor, with automated validation between sessions wherever the tooling supports it.
The SIEM is the shared viewing surface, and MITRE ATT&CK provides the technique mapping that makes results specific. Many programs add automated tooling to sustain validation between sessions, and some extend into automated red teaming for higher-frequency execution. The one thing a program cannot substitute for is query access to the underlying logs, since that settles whether a silent technique was a rule problem or a coverage problem.
No. Purple teaming validates detection and response against known techniques in real time, assuming the technique list is already defined. Penetration testing probes for unknown exploitable weaknesses nobody thought to test for. A program needs both, because each answers a question the other cannot.