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How to Run an Internal Red-Team Exercise Across All 10 Security Categories

AuthorAndrew
Published on:
Published in:AI

Why run an internal red-team exercise before an external audit?

An internal red-team exercise is a controlled, adversarial simulation designed to test whether your security program works in practice—not just on paper. Done well, it exposes gaps across people, process, and technology, and it helps you prioritize fixes before an external audit scrutinizes evidence, control operation, and incident readiness.

The goal is not to “win” by breaking things. The goal is to generate defensible proof that controls operate, monitoring detects, response processes function, and issues are tracked to closure.

Scope: the 10 security categories to cover

To make the exercise comprehensive and audit-relevant, structure it across ten categories:

  1. Governance & risk management
  2. Asset management
  3. Identity & access management
  4. Network security
  5. Endpoint security
  6. Application security
  7. Cloud & infrastructure security
  8. Data protection
  9. Security monitoring & detection
  10. Incident response & resilience

You can run one integrated scenario spanning all categories, or a set of smaller vignettes that collectively cover them.

Step 1: Define objectives, rules of engagement, and safety controls

Start with a short “charter” document approved by security leadership and relevant stakeholders (IT, legal, HR, privacy, and business owners). Keep it simple and operational.

Clarify objectives

  • Validate specific controls (e.g., MFA enforcement, alerting, backup recovery, access reviews)
  • Test detection and response outcomes (time-to-detect, time-to-triage, escalation accuracy)
  • Produce audit-ready evidence (tickets, logs, screenshots, approvals, meeting notes)

Set rules of engagement

  • In-scope systems, accounts, networks, applications, and time windows
  • Out-of-scope targets (e.g., production payment systems, safety-critical systems)
  • Allowed techniques (phishing simulations, credential testing, privilege escalation attempts, etc.)
  • “Stop conditions” (what triggers immediate halt, who can call it)

Add safety controls

  • Use test accounts and synthetic data wherever possible
  • Define maximum impact constraints (e.g., no destructive actions; rate limits)
  • Require change windows for high-risk tests
  • Pre-stage rollback plans

Step 2: Build your internal red-team and “blue-team” structure

Even for internal exercises, separation of roles matters.

Red team (simulated adversary)

  • Designs the attack path and executes tests
  • Documents actions, timestamps, and evidence
  • Coordinates safety and stop conditions

Blue team (defenders)

  • Operates monitoring, triage, containment, and recovery
  • Follows existing playbooks (do not “cheat” with special knowledge)
  • Captures evidence of operational response

White team (exercise control)

  • Approves scope and adjudicates disputes
  • Injects scenario cues as needed
  • Ensures evidence is captured and lessons are recorded

If your organization is small, one person can act as white team while another executes red-team tasks, but maintain clear boundaries.

Step 3: Map each security category to testable control outcomes

Create a simple matrix: Category → Controls → Attack/abuse case → Expected detections → Evidence. Below are practical tests per category that tend to produce clear, auditable outcomes.

1) Governance & risk management

Test ideas

  • Attempt a nonstandard access request that bypasses policy (e.g., “urgent admin access”)
  • Verify risk acceptance workflows by proposing an exception for a weak control

What good looks like

  • Exceptions require documented approval, expiration, and compensating controls
  • Decisions are logged in a system of record

Evidence to capture

  • Request tickets, approvals, risk entries, meeting notes, and control-owner signoff

2) Asset management

Test ideas

  • Introduce an “unknown” asset in a controlled way (e.g., a test VM or device)
  • Confirm whether the asset is discovered, classified, and assigned an owner

What good looks like

  • Asset appears in inventory within a defined time
  • Ownership, criticality, and lifecycle status are recorded

Evidence to capture

  • Inventory records, discovery alerts, owner assignment tickets

3) Identity & access management (IAM)

Test ideas

  • Attempt password spraying against test accounts (within safe limits)
  • Attempt to access a resource without MFA
  • Validate joiner/mover/leaver: simulate a role change and check access removal/addition

What good looks like

  • Lockout or throttling triggers; alerts are generated
  • MFA is enforced consistently
  • Access changes require approvals and are time-bound

Evidence to capture

  • IAM logs, conditional access logs, access review artifacts, tickets and approvals

4) Network security

Test ideas

  • Test segmentation by attempting lateral movement from a low-trust network
  • Attempt to connect to restricted admin ports from unauthorized segments
  • Validate firewall rule hygiene by requesting an exception and seeing if it’s reviewed

What good looks like

  • Unauthorized traffic is blocked and logged
  • Network alerts generate actionable context (source, destination, protocol)
  • Changes follow review and rollback procedures

Evidence to capture

  • Firewall logs, change records, segmentation diagrams, alert tickets

5) Endpoint security

Test ideas

  • Execute benign simulations of suspicious behavior (e.g., unsigned script execution)
  • Attempt to disable endpoint protection with non-destructive methods
  • Check device compliance enforcement (encryption, patch level)

What good looks like

  • Endpoint controls prevent or detect the behavior
  • Tamper protection works; alerts trigger
  • Noncompliant devices are quarantined or restricted

Evidence to capture

  • Endpoint alerts, policy configs, remediation tickets, device compliance reports

6) Application security

Test ideas

  • Test authentication/session controls in a staging environment (e.g., session fixation checks)
  • Attempt privilege misuse via role-based access boundaries
  • Validate secure SDLC workflow: submit a small intentionally vulnerable code change and ensure it’s caught (in a safe repo/branch)

What good looks like

  • Authorization is enforced server-side
  • Findings are tracked, prioritized, and remediated with retest
  • Code reviews and security checks are enforced in the pipeline

Evidence to capture

  • Issue tracker entries, code review approvals, pipeline logs, retest results

7) Cloud & infrastructure security

Test ideas

  • Identify a misconfiguration path: overly permissive storage access (test bucket/container), open management ports, or excessive IAM roles
  • Attempt privilege escalation using a deliberately constrained test role
  • Validate infrastructure-as-code guardrails in a nonproduction environment

What good looks like

  • Misconfigurations are detected by posture management controls
  • Excessive permissions are flagged and remediated
  • Changes are traceable and peer-reviewed

Evidence to capture

  • Cloud audit logs, configuration snapshots, policy evaluation outputs, change tickets

8) Data protection

Test ideas

  • Attempt to access sensitive data from an unauthorized account
  • Test data exfiltration controls with synthetic “sensitive” files (watermarked)
  • Validate key management: rotate a key (in a controlled system) and confirm downstream impact is managed

What good looks like

  • Data access is least-privilege and logged
  • DLP-like controls detect risky movement or sharing
  • Encryption and key management processes are documented and operational

Evidence to capture

  • Access logs, data classification tags, exfiltration alerts, key rotation records

9) Security monitoring & detection

Test ideas

  • Run a small set of known-bad patterns (benign equivalents) that should trigger alerts
  • Validate alert routing and on-call procedures during and outside business hours
  • Test enrichment: can analysts quickly see asset owner, criticality, and recent changes?

What good looks like

  • Alerts are high-signal and triaged consistently
  • Triage notes show reasoning, scope checks, and containment decisions
  • Metrics are recorded (even if approximate): detect/triage/escalation timestamps

Evidence to capture

  • Alert records, case notes, on-call handoffs, runbooks referenced

10) Incident response & resilience

Test ideas

  • Tabletop-plus: combine live detection with a response simulation (containment, comms, recovery)
  • Run a restore test from backups for a noncritical system
  • Simulate third-party notification requirements and internal comms approval flow

What good looks like

  • Clear incident severity classification and escalation path
  • Containment and recovery steps are performed and documented
  • Post-incident review produces actions with owners and due dates

Evidence to capture

  • Incident tickets, timeline, comms drafts/approvals, restore logs, postmortem actions

Step 4: Design one integrated attack path (example structure)

A practical approach is a chained scenario that mirrors real attacker behavior:

  1. Initial access: phishing simulation against test users or credential testing on a test portal
  2. Execution on endpoint: benign suspicious behavior to validate endpoint detection
  3. Privilege escalation: attempt role abuse using test accounts and misconfigurations
  4. Lateral movement: segmentation checks and restricted service access attempts
  5. Data access/exfil simulation: synthetic sensitive file access and transfer attempt
  6. Response: blue team investigates, contains, and documents actions
  7. Recovery: restore a test system or validate rollback and key rotation steps

Keep each stage tied to expected detections and evidence requirements.

Step 5: Run the exercise with tight documentation

During execution, treat documentation as part of the test.

Red team logs

  • Exact commands/actions (high level if sensitive), timestamps, target systems
  • Observed control behavior (blocked, allowed, logged, alerted)
  • Screenshots or exports where appropriate

Blue team casework

  • Alert triage notes and decisions
  • Escalation steps, stakeholder comms, containment actions
  • Evidence attachments in the case/ticketing system

White team oversight

  • Tracks whether objectives were met
  • Records deviations (e.g., a test paused due to risk)

Step 6: Debrief, score outcomes, and create an audit-ready remediation package

Within 48–72 hours, hold a structured debrief.

Debrief agenda

  • Timeline walkthrough: what happened vs. what was expected
  • Control performance by category (worked, partially worked, failed)
  • Root cause analysis (people/process/tech)
  • Remediation plan and retest dates

Produce three deliverables

  1. Executive summary: risks demonstrated, business impact, top remediations
  2. Technical report: detailed findings with evidence, affected scope, and reproduction steps
  3. Audit evidence bundle: approvals, tickets, logs, screenshots, and postmortem actions

Track remediation like an audit will

  • Assign owners, due dates, and acceptance criteria
  • Require retest evidence (not just “fixed”)
  • Close the loop with updated procedures and training where needed

Common pitfalls to avoid

  • Testing without evidence capture: if it isn’t documented, it effectively didn’t happen for audit purposes
  • Over-scoping: too many objectives leads to shallow results; prioritize high-risk paths
  • Unrealistic assumptions: avoid “god mode” access; use constraints attackers would face
  • Skipping resilience: detection without containment and recovery is incomplete
  • Fixing during the exercise: note issues first; remediate after, unless safety requires immediate action

A simple checklist to start next week

  • [ ] Charter approved: objectives, scope, safety, stop conditions
  • [ ] Category matrix drafted with at least one test per category
  • [ ] Test accounts and synthetic data prepared
  • [ ] Monitoring and case management ready for evidence collection
  • [ ] Exercise schedule and debrief booked
  • [ ] Reporting templates prepared (exec, technical, audit bundle)

Run the exercise, capture proof, remediate with discipline, and retest. That combination—control operation + evidence + closure—is what turns an internal red-team effort into a meaningful pre-audit advantage.

Frequently asked questions

What is AI agent governance?

AI agent governance is the set of policies, controls, and monitoring systems that ensure autonomous AI agents behave safely, comply with regulations, and remain auditable. It covers decision logging, policy enforcement, access controls, and incident response for AI systems that act on behalf of a business.

Does the EU AI Act apply to my company?

The EU AI Act applies to any organisation that develops, deploys, or uses AI systems in the EU, regardless of where the company is headquartered. High-risk AI systems face strict obligations starting 2 August 2026, including risk management, data governance, transparency, human oversight, and conformity assessments.

How do I test an AI agent for security vulnerabilities?

AI agent security testing evaluates agents for prompt injection, data exfiltration, policy bypass, jailbreaks, and compliance violations. Talan.tech's Talantir platform runs 500+ automated test scenarios across 11 categories and produces a certified security score with remediation guidance.

Where should I start with AI governance?

Start with a free AI Readiness Assessment to benchmark your current maturity across 10 dimensions (strategy, data, security, compliance, operations, and more). The assessment takes about 15 minutes and produces a prioritised roadmap you can act on immediately.

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