Soc2 ccm continuous monitoring

SOC 2 CCM Continuous Monitoring

Overview

Continuous Control Monitoring (CCM) satisfies SOC 2 CC4.1 (monitoring activities) and CC7.x (system monitoring) by automating control tests on a schedule and alerting on drift. This skill operationalizes monitoring between annual audits—replacing point-in-time compliance with always-on assurance.

Components:

1. Control test automation: scheduled scripts/MCP jobs per TSC control
2. Drift detection: baseline vs current config comparison
3. Predictive risk scores: weighted FAIL trends, mean-time-to-remediate
4. Alert routing: Slack MCP, SIEM, ticketing integration

When to Use

Use this skill when:

• Implementing always-on SOC 2 monitoring (Vanta/Drata-style continuous controls)
• Detecting configuration drift (IAM, firewall, MCP tool allowlists, agent skills)
• Building executive risk dashboards with control health scores
• Transitioning from Type I point-in-time to Type II period-of-time readiness
• Alerting on regression after remediation (control was PASS, now FAIL)
• Integrating compliance scans into CI/CD (Terraform, OPA policy checks)

Do not use this skill when:

• One-time audit evidence packaging (use soc2-evidence-collection)
• Initial control design gap analysis (use soc2-trust-services-criteria)
• PCI weekly script tamper detection (use pci-dss-script-audit 11.6.1 workflow)

Core Process

Execute steps in order.

Step 1: Control inventory for monitoring

1. Import TSC control matrix from soc2-trust-services-criteria output.
2. Filter controls suitable for automated testing (target ≥70% automation for CC6/CC7):
   • MFA enforcement, password policy, encryption at rest flags
   • Public S3 bucket detection, security group overly permissive rules
   • MCP OAuth scope drift, agent skill directory checksum changes
   • Failed login rate thresholds, backup success signals
3. Mark each control: AUTOMATED, SEMI-AUTO, MANUAL.
4. Artifact: ccm-control-inventory-{id}.json.

Step 2: Baseline establishment

1. For each AUTOMATED control, capture golden baseline:
   • IAM policy JSON hash, SG rule set, MCP server config manifest
   • Authorized agent skills SHA-256 list from skills/ directory
   • Presidio redaction config hash from redaction.py entity types
2. Store baselines in Postgres evidence schema with version IDs.
3. Require human approval before baseline promotion to production CCM.

Step 3: Test schedule definition

Control frequency	Examples	Minimum interval
Real-time	Critical IAM changes, new MCP tool registration	Event-driven
Daily	Public exposure scans, cert expiry	24h
Weekly	Script/header monitoring (PCI overlap), access anomaly	7d
Monthly	Full IAM review sample, backup restore test	30d
Quarterly	Access certification, policy review attestation	90d

Document schedule in ccm-schedule-{id}.yaml with cron expressions and owners.

Step 4: Drift detection implementation

For each baselined asset:

1. Collect current state via same method as baseline (API, MCP, git).
2. Diff current vs baseline:
   • Added/removed/changed rules, policies, tools, skills
3. Classify drift:
   • AUTHORIZED: matching change ticket ID in ITSM
   • UNAUTHORIZED: no ticket → alert CRITICAL
   • EXPECTED: automated rotation with documented pattern
4. Store drift events with UTC timestamp and diff artifact.

Agent/MCP-specific drift checks

• skills/ directory: new SKILL.md without CI validation → alert
• MCP tool manifest: tool added outside allowlist → alert
• agent.py redaction gate bypass (run without redact) → CRITICAL alert
• Playwright baseline DOM hash drift on monitored pages → cross-skill alert to PCI 11.6.1

Step 5: Predictive risk scoring

1. Define score formula per control (example):

   risk_score = severity_weight × fail_count × (1 + days_open/30)
   

2. Aggregate to category level (CC6, CC7, CC8) and overall control health %.
3. Trend weekly; flag negative trajectory (health declining 2+ weeks).
4. Surface top 10 risks in executive dashboard—no raw ePHI in dashboard exports.

Step 6: Alerting and escalation

1. Route alerts by severity:
   • CRITICAL: Slack MCP + PagerDuty analog, 15-minute response SLA
   • HIGH: Slack channel, 4-hour SLA
   • MEDIUM/LOW: daily digest ticket
2. Include: control ID, drift summary, baseline version, remediation runbook link.
3. Suppress duplicate alerts with correlation ID; do not alert-fatigue into ignored channels.

Step 7: Evidence auto-capture for Type II

1. On each scheduled test PASS/FAIL, auto-append to evidence store:
   • Test output JSON, timestamp, hash
2. Enables soc2-evidence-collection to pull period samples without manual reruns.
3. Retain per organizational policy (typically examination period + 12 months).

Step 8: CCM program review

1. Monthly: false positive rate, missed drift postmortems, control coverage %
2. Quarterly: recalibrate baselines, update automation for new TSC mappings
3. Annual: align with SOC 2 auditor on acceptable CCM evidence for Type II

Common Rationalizations

Excuse the agent might generate	Required rebuttal
"Annual audit is enough; CCM is redundant."	Type II requires operating effectiveness over time—CCM generates period-of-time proof.
"We'll monitor manually when someone remembers."	Manual monitoring fails CC4.1 consistency requirements—automate or document systematic manual process with evidence.
"Drift without a ticket is probably fine."	Unauthorized drift is a CC8 change management failure until proven otherwise.
"Risk scores are vanity metrics."	Scores must drive prioritized remediation with tracked MTTR—otherwise discard the metric.
"Alert on everything so we never miss anything."	Alert fatigue causes ignored CRITICAL items—tune severity and deduplication.
"CCM replaces soc2-evidence-collection entirely."	CCM feeds evidence collection—auditors may still request ad hoc samples.

Red Flags

• CCM baselines never updated after authorized changes (constant false positives)
• CRITICAL drift alerts disabled to reduce noise
• Agent redaction bypass undetected for >24 hours
• No event-driven monitoring on IAM/MCP tool registration
• CCM evidence retention shorter than SOC 2 examination period
• Risk scores published with customer ePHI in alert payloads
• 100% MANUAL control inventory claimed as CCM

Verification

• CCM control inventory with AUTOMATED/SEMI-AUTO/MANUAL classification
• Baselines captured, versioned, and human-approved for production
• Test schedules documented with owners and cron/event triggers
• Drift detection running with AUTHORIZED/UNAUTHORIZED classification
• Agent/MCP-specific drift checks enabled (skills, tools, redaction gate)
• Risk scoring formula documented with weekly trend output
• Alert routing tested for CRITICAL and HIGH severities
• Auto-captured test results stored with hashes for Type II evidence
• Monthly/quarterly CCM review cadence scheduled
• False positive rate tracked with tuning backlog