Why Most Purple Team Programs Fail
Purple teaming represents the ideal collaboration between offensive and defensive security teams. In theory, it accelerates detection engineering, reduces blind spots, and improves security posture faster than siloed red and blue team operations.
In practice, most purple team programs fail to deliver these benefits. Here’s why, and how to fix it.
The Failure Patterns
The Scoreboard Mentality
The most common failure mode is treating purple team exercises as competitive games. Red teams “win” by bypassing detections. Blue teams “lose” when they miss attacks. Leadership tracks metrics like “number of Red Team wins” as if security were a sport.
This creates a zero-sum dynamic that destroys collaboration. Teams withhold information, avoid difficult conversations, and focus on looking good rather than improving security.
The fix:
Reframe exercises as collaborative debugging sessions. The goal isn’t determining who wins; it’s identifying gaps in visibility, detection logic, and response processes.
Organizational Silos and Language Barriers
Red teams speak in terms of tactics, techniques, and procedures (TTPs). Blue teams think in terms of data sources, correlation rules, and alert tuning. These teams often lack a shared language for discussing security.
When a red teamer says “I used DLL injection,” a blue team analyst might not immediately know which Windows event logs would capture that behavior or what a detection rule should look like.
The fix:
Adopt MITRE ATT&CK as the common language. Map every exercise to specific ATT&CK techniques. Red teams document which procedures they used. Blue teams document which data sources and detection strategies apply to each technique.
The Blame Culture Problem
Organizations that punish blue teams for missed detections create environments where teams avoid purple team exercises. No one wants to volunteer for public failure.
We’ve seen incidents where red teams successfully executed privilege escalation via DLL injection with zero alerts. The root cause was that the organization lacked process creation and module loading logs entirely. When the blue team explained this, leadership refused to fund the infrastructure changes needed to enable logging.
The blue team was blamed for the gap. They learned to avoid future exercises.
The fix:
Treat detection gaps as organizational failures requiring investment, not individual failures requiring blame. If telemetry doesn’t exist, that’s a budgeting decision, not a blue team competency issue.
The Silver Bullet Syndrome
Many organizations believe that purchasing expensive security tools automatically enables purple teaming. They deploy EDR, SIEM, and SOAR platforms without proper configuration, tuning, or integration.
Red teams then run automated tools like Cobalt Strike or Metasploit in their default configurations. Blue teams struggle to detect noisy, unrealistic attacks that don’t resemble actual threat actor behavior.
The fix:
Purple team exercises should emulate specific threat actors your organization actually faces. Use threat intelligence to identify relevant TTPs. Focus on realistic scenarios, not theoretical capabilities.
Tools like Atomic Red Team enable unit testing of specific techniques without the noise of full attack frameworks.
Logging and Telemetry Gaps
The most common technical failure is simply not having the data required to detect attacks.
Real-world example:
A financial services organization ran a purple team exercise focused on credential theft. The red team successfully brute-forced user accounts through a web application.
The blue team couldn’t detect it because the application logged a single counter for all authentication failures rather than individual failure events. There was no way to distinguish normal login mistakes from brute-force attacks.
The lesson: You can’t detect what you can’t see.
The fix:
Before running purple team exercises, audit your data sources against the MITRE ATT&CK Data Sources matrix. Identify gaps in telemetry first. Implement logging before expecting detection.
What Success Looks Like
The Fix-Verify Loop
The most successful purple team programs we’ve seen follow a simple pattern:
- Red team executes attack
- Blue team attempts detection
- Teams collaborate to understand why detection failed
- Blue team implements fix (new data source, tuned rule, etc.)
- Red team immediately re-runs attack to validate fix
The exercise doesn’t end until the blue team successfully detects the re-run attack.
Real-world success story:
During a purple team engagement, the red team exfiltrated data using both ICMP tunneling and HTTP uploads to cloud storage. Both bypassed the organization’s DLP solution.
Rather than declaring “Red Team wins,” the teams collaborated to:
- Configure firewalls to block anomalous ICMP packets (high packet counts, unusual destinations)
- Implement cloud access security broker (CASB) monitoring for uploads to unauthorized cloud services
- Create correlation rules detecting large file transfers to new external IPs
The red team re-ran the exfiltration attempts immediately. Both were detected. That’s a successful purple team exercise.
Threat-Informed Defense
Map exercises to real threat actors targeting your industry. If you’re a healthcare organization, emulate ransomware groups like BlackCat or LockBit. If you’re a technology company, focus on APT groups conducting espionage.
This ensures you’re improving defenses against threats you’ll actually face, not theoretical scenarios.
Open Book Testing
Some of the most valuable purple team exercises involve “open book” testing where the red team announces their attack methods in advance.
The goal shifts from “Can we bypass detection?” to “Do we have the sensor visibility to even generate a log entry?”
This accelerates detection engineering by focusing on fundamental telemetry gaps rather than signature evasion.
Metrics That Actually Matter
Stop tracking vanity metrics like “number of alerts generated” or “Red Team win rate.”
Track actionable metrics:
| Metric | What It Measures |
|---|---|
| Detection Rate | Percentage of ATT&CK techniques you can detect |
| Data Source Coverage | Percentage of ATT&CK data sources you collect |
| Mean Time to Detect (MTTD) | Time from attack execution to alert |
| False Positive Reduction | Noise reduction in high-fidelity detections |
| Retest Success | Percentage of attacks detected after remediation |
These metrics drive improvement rather than blame.
Recommended Tooling
| Tool | Type | Best Use Case |
|---|---|---|
| Atomic Red Team | Open Source | Unit testing specific ATT&CK techniques |
| MITRE Caldera | Open Source | Automated adversary emulation campaigns |
| AttackIQ | Commercial BAS | Continuous enterprise-wide validation |
| Vectr | Open Source | Purple team documentation and tracking |
The tool matters less than the process. Even simple PowerShell scripts emulating specific techniques can drive value if executed with the right collaborative mindset.
Cultural Prerequisites for Success
Before investing in purple team tooling, ensure these cultural foundations:
- Executive Buy-In: Leadership must fund remediation, not just testing
- No-Blame Environment: Detection gaps are organizational problems
- Shared Success: Both teams measured on detection improvement, not “wins”
- Fix Budget: Allocate resources for implementing recommended changes
- Continuous Improvement: Purple teaming is ongoing, not a one-time event
The Bottom Line
Purple team programs fail when they’re treated as competitive exercises rather than collaborative engineering.
Success requires:
- Shared language (MITRE ATT&CK)
- Organizational investment in telemetry and remediation
- Focus on realistic threat actor behavior
- Fix-verify loops ensuring improvements stick
- Cultural commitment to collaboration over competition
Done right, purple teaming is the fastest path to detection engineering maturity. Done wrong, it’s expensive theater that demoralizes teams and wastes resources.
Choose collaboration.
