Created by Claudiu Tabac - © 2026
This material is open for educational and research use. Commercial use without explicit permission from the author is not allowed.
The Governance Failure Lens (GFL)
A repeatable cognitive instrument for analyzing why security failed before technology did
What This Lens Is
The Governance Failure Lens (GFL) is the core thinking instrument of SGFA. It is not a checklist. It is not an assessment. It is not a maturity model.
It is a repeatable cognitive gesture used to analyze why security failed before technology did. This lens provides a structured approach to reconstructing decision reality rather than evaluating design intent.
You apply this lens after an incident, during a high-risk decision, or when everything looks "green" but feels fundamentally wrong. It forces you to examine what actually happened instead of what was supposed to happen.

When to Use GFL
  • After security incidents
  • During high-risk decisions
  • When metrics look good but reality feels off
  • When reviewing compliance narratives
The Central Assumption
Security governance does not fail because controls are missing. It fails because decisions are validated by the wrong signals.
This foundational principle underpins the entire Governance Failure Lens framework. Most post-incident analyses focus on technical gaps, missing controls, or configuration errors. These are symptoms, not causes.
The real failure occurs earlier in the decision chain when organizations rely on misleading indicators of safety. Dashboards show green. Audits pass. Policies exist. Approvals are documented. Yet the system remains vulnerable because these signals replaced genuine validation.
GFL exists to expose that validation logic and reveal how organizations convince themselves they are safe when they are not. By reconstructing the actual decision-making environment, we can identify where governance stopped reasoning and started trusting false representations of security posture.
How the Lens Works
01
Five Fixed Questions
The lens consists of five questions that never change and must be applied in sequence.
02
Sequential Application
Questions are always asked in order, as each builds on insights from the previous.
03
Reality-Based Analysis
Each question forces you to examine what actually happened, not formal structures.
04
Pattern Recognition
Answers reveal systematic governance weaknesses across the five domains.
Unlike traditional frameworks that adapt to context, GFL maintains fixed questions precisely because governance failures follow predictable patterns. The consistency enables pattern recognition across incidents and organizations.
Question 1: Actual Decision Authority
Who actually had decision authority at the moment of failure?
Not who owned the policy. Not who approved the design. Not who was accountable on paper.
But who could say "yes" without escalation, who could override friction, who could delay or bypass controls.
This question exposes the gap between formal authority structures and operational reality. In most failures, decision authority was implicit, distributed across multiple actors, or situational based on urgency.
If authority was implicit, distributed, or situational, governance was already weakened before any technical failure occurred.
When authority becomes ambiguous, decisions default to whoever has the most pressure, the least oversight, or the strongest business justification.
Failures related to authority dilution are explored in depth within the first governance domain.
Question 2: Truth Signal
What signal was treated as "truth"?
Dashboard Metrics
Green indicators showing compliance or coverage percentages
Audit Results
Clean findings suggesting controls are effective
Approval Records
Documented sign-offs proving process compliance
Maturity Scores
Framework ratings indicating program sophistication
Every governance system elevates certain signals above others. The failure begins when signal replaces reality. If a system was considered safe because a signal was green, governance stopped reasoning and started trusting representation.
These signals become dangerous when they create confidence without corresponding to actual security posture. Organizations make high-risk decisions based on what the dashboard says rather than what the environment contains.
Failures rooted in misleading assurance signals are explored under the third governance domain.
Question 3: Silent Rule Override
What rule was silently overridden?
Every serious failure involves a rule that was not broken openly, but suspended quietly. The override is rarely documented. It is justified as pragmatic, temporary, or necessary given business constraints.
Urgency Pressure
"We need to ship this feature now, we'll fix the security issues in the next sprint"
Business Priority
"The CEO needs access immediately, we can't wait for the normal approval process"
Exception Normalization
"We've done this temporary workaround dozens of times before without incident"
Temporary Justification
"This is just for the pilot program, we'll implement proper controls when we scale"
At the moment a rule is quietly suspended, governance shifts from explicit design to implicit permission. What was intended as exception handling becomes standard operating procedure.
Question 4: Failed Feedback Loop
What feedback loop failed to correct the system?
Governance assumes correction will come from audits, reviews, incidents, KPIs, or escalations. These mechanisms exist in every organization.
In real failures, feedback exists but arrives too late, is filtered through reporting hierarchies, is deprioritized against competing concerns, or is reframed as acceptable risk.
Warning signs were present. Someone noticed the problem. But the information never reached decision-makers in time, or when it did, the organizational context prevented action.

Common Feedback Failures
  • Signals buried in noise
  • Escalation paths too slow
  • Risk acceptance without review
  • Metrics that don't trigger alerts
  • Incident learnings not implemented
A governance system without effective correction is not governing it is documenting drift. The organization continues moving away from its stated security posture while compliance reports suggest everything is fine.
Question 5: False Acceptability
Why did this look acceptable until it failed?
This is the most important question in the entire Governance Failure Lens.
If a failure looked unacceptable beforehand, it would not happen. Organizations do not knowingly choose insecurity. Governance failures persist because they feel reasonable, align with incentives, match past success patterns, and do not trigger organizational alarms.
Reasonable Justification
The decision made sense given available information and competing priorities at the time
Incentive Alignment
Following this path helped teams meet their performance objectives and deadlines
Historical Precedent
Similar approaches worked before without incident, creating false confidence
This question exposes the illusion of safety created by metrics, maturity models, and reporting dashboards. The system appeared secure because every visible indicator suggested it was secure.
Why This Lens Produces Insight, Not Opinions
What GFL Does Not Do
  • Ask what should have happened according to best practices
  • Judge the intent or competence of individuals
  • Assume incompetence or malice caused the failure
  • Compare against theoretical ideal states
  • Generate recommendations without understanding causation
What GFL Does
  • Reconstructs actual decision reality at the moment of failure
  • Exposes gaps between design intent and operational behavior
  • Identifies systemic pressures that shaped choices
  • Reveals validation logic that created false confidence
  • Maps how governance degraded over time

Two organizations with identical controls can produce opposite outcomes because they answered these five questions differently, without realizing it. The lens makes those answers visible.
This is why traditional control assessments often miss the root cause. They evaluate what exists on paper rather than how decisions actually flow through the organization under pressure.
Why Identity Failures Are So Often the Outcome
Identity systems sit at the intersection of authority, trust, exception handling, and execution. When governance weakens, identity absorbs the stress first.
Access Expands
Permissions grow beyond original intent as business needs evolve
Approvals Become Symbolic
Sign-off processes exist but don't validate actual need or risk
Tokens Outlive Intent
Service accounts and credentials persist long after projects end
Exceptions Accumulate
Temporary access grants become permanent without review
This is why governance failures frequently materialize as "IAM issues", even when IAM is not the root cause. The identity layer becomes the visible symptom of invisible governance degradation.
Organizations respond by adding more IAM controls, implementing new tools, or tightening policies. But if the underlying governance patterns remain unchanged, the cycle repeats with different identity failures emerging elsewhere.
This amplification effect is analyzed further in the cross-domain interpretation section.
How to Use This Lens in Practice
Apply GFL in Three Critical Scenarios
Incident Post-Mortem
Move beyond technical root cause to understand governance breakdown
High-Risk Decisions
Validate that decision authority and signals are appropriate before proceeding
Compliance Narrative Challenge
Test whether "we are compliant" statements reflect operational reality

Critical Indicator
If at least one of the five questions cannot be answered clearly and specifically, governance has already failed. The inability to answer reveals that the organization does not understand its own decision-making reality.
The lens works best when applied collaboratively with stakeholders who experienced the situation firsthand. Their answers often reveal gaps between what they thought was happening and what actually occurred.
Document answers to all five questions before drawing conclusions. Patterns emerge when you see how questions interconnect across the governance domains.
Moving from Lens to Domains
The Governance Failure Lens identifies that governance failed and where the failure occurred. The five Governance Failure Domains explain how those failures develop and persist.
1
Ownership & Accountability
How authority becomes diluted and responsibility becomes ambiguous
2
Decision & Approval Mechanics
How exception processes normalize and bypass mechanisms emerge
3
Assurance, Audit & Control Signals
How verification becomes performative and signals replace validation
4
Operating Model & Design
How organizational structure prevents feedback from enabling correction
5
Metrics, Maturity & Reporting
How measurement systems create false confidence and hide drift
Each domain contains specific failure patterns that the lens helps expose. When you answer the five questions, you will typically find failures concentrated in one or two domains, with cascading effects into others.
The Governance Failure Lens is not a one-time diagnostic. It is a repeatable practice that builds organizational capability to see governance reality rather than governance theater. Apply it consistently, and patterns become visible before they become incidents.
Created by Claudiu Tabac — © 2026
This material is open for educational and research use. Commercial use without explicit permission from the author is not allowed.