sf-agent-framework
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AI Agent Orchestration Framework for Salesforce Development - Two-phase architecture with 70% context reduction
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# 📑 SALESFORCE SECURITY ANALYTICAL REPORT
## Comprehensive Security Assessment & Analysis
**Report ID**: SAR-[YYYY-MM-DD]-[ORG]
**Classification**: CONFIDENTIAL
**Distribution**: Security Team, IT Leadership, Compliance Officer
## TABLE OF CONTENTS
1. [Executive Analysis](#executive-analysis)
2. [Security Metrics Deep Dive](#security-metrics-deep-dive)
3. [Layer-by-Layer Analysis](#layer-by-layer-analysis)
4. [Risk Analysis & Scoring](#risk-analysis--scoring)
5. [Compliance Assessment](#compliance-assessment)
6. [Trend Analysis & Predictions](#trend-analysis--predictions)
7. [Detailed Findings](#detailed-findings)
8. [Remediation Roadmap](#remediation-roadmap)
## 1. EXECUTIVE ANALYSIS
### 1.1 Security Posture Overview
**Overall Security Maturity Level**: [Initial/Managed/Defined/Optimized]
| Dimension | Score | Maturity | Industry Benchmark | Gap |
| -------------------- | -------- | -------- | ------------------ | ----- |
| Identity & Access | [__]/100 | [Level] | 85 | [-__] |
| Data Protection | [__]/100 | [Level] | 82 | [-__] |
| Application Security | [__]/100 | [Level] | 78 | [-__] |
| Infrastructure | [__]/100 | [Level] | 80 | [-__] |
| Compliance | [__]/100 | [Level] | 90 | [-__] |
### 1.2 Risk Exposure Analysis
**Total Risk Exposure Score**: [____] (Scale: 0-1000)
```
Risk Exposure by Category:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Data Breach Risk: ████████████░░░░ 75%
Compliance Risk: ██████░░░░░░░░░ 40%
Operational Risk: ████████░░░░░░░ 50%
Reputational Risk: ██████████░░░░░ 65%
Financial Risk: ████████░░░░░░░ 50%
```
### 1.3 Business Impact Assessment
| Risk Scenario | Probability | Impact ($) | Annual Loss Expectancy |
| -------------------- | ----------- | ---------- | ---------------------- |
| Data Breach (PII) | [_]% | $[___]K | $[___]K |
| Compliance Violation | [_]% | $[___]K | $[___]K |
| System Compromise | [_]% | $[___]K | $[___]K |
| Insider Threat | [_]% | $[___]K | $[___]K |
| **TOTAL ALE** | | | **$[___]K** |
## 2. SECURITY METRICS DEEP DIVE
### 2.1 Access Control Analytics
#### User Population Analysis
```sql
Total Users: [____]
├── Active Users: [____] ([__]%)
├── Inactive >30 days: [____] ([__]%)
├── Inactive >90 days: [____] ([__]%)
└── Never Logged In: [____] ([__]%)
User Growth Rate (YoY): [+/-__]%
Privileged User Ratio: [__]% (Target: <5%)
```
#### Privilege Distribution Matrix
| Privilege Level | User Count | % of Total | MFA Enabled | Risk Score |
| --------------- | ---------- | ---------- | ----------- | ----------- |
| System Admin | [__] | [_]% | [__]% | 🔴 Critical |
| Modify All Data | [__] | [_]% | [__]% | 🔴 Critical |
| View All Data | [__] | [_]% | [__]% | 🟠 High |
| Data Export | [__] | [_]% | [__]% | 🟡 Medium |
| API Access | [__] | [_]% | [__]% | 🟡 Medium |
| Standard User | [__] | [_]% | [__]% | 🟢 Low |
#### Authentication Security Metrics
**Multi-Factor Authentication Analysis**
```
MFA Adoption Timeline:
Month Total Users MFA Enabled Coverage %
───────────────────────────────────────────────
[M-6] [____] [____] [__]%
[M-5] [____] [____] [__]%
[M-4] [____] [____] [__]%
[M-3] [____] [____] [__]%
[M-2] [____] [____] [__]%
[M-1] [____] [____] [__]%
Current [____] [____] [__]%
Projected MFA Coverage (3 months): [__]%
Required for Compliance: 100%
Gap to Close: [__]%
```
### 2.2 Data Security Analytics
#### Data Classification Summary
| Data Type | Volume (Records) | Encrypted | Masked | Audit Trail | Risk |
| ------------ | ---------------- | --------- | ------ | ----------- | ------- |
| PII - Email | [___]K | [Y/N] | [Y/N] | [Y/N] | [Level] |
| PII - Phone | [___]K | [Y/N] | [Y/N] | [Y/N] | [Level] |
| PII - SSN | [___]K | [Y/N] | [Y/N] | [Y/N] | [Level] |
| Financial | [___]K | [Y/N] | [Y/N] | [Y/N] | [Level] |
| Health (PHI) | [___]K | [Y/N] | [Y/N] | [Y/N] | [Level] |
#### Data Access Patterns
```
Daily Data Access Volume:
├── API Calls: [___]K/day
├── Report Exports: [___]/day
├── Bulk Exports: [___]/day
└── Manual Downloads: [___]/day
Unusual Access Patterns Detected: [__]
High-Volume Exports (>10K records): [__] users
After-Hours Access: [__]% of total
```
### 2.3 Application Security Metrics
#### Code Security Analysis
```
Apex Classes Security Score: [__]/100
Static Analysis Results:
├── Critical Issues: [__]
├── High Issues: [__]
├── Medium Issues: [__]
└── Low Issues: [__]
Security Pattern Compliance:
├── With Sharing: [__]% compliant
├── CRUD/FLS Checks: [__]% compliant
├── Input Validation: [__]% compliant
└── Error Handling: [__]% compliant
```
#### Vulnerability Assessment Results
| Vulnerability Type | Count | Severity | CVSS Score | Remediated |
| ------------------------- | ----- | -------- | ---------- | ---------- |
| SOQL Injection | [__] | Critical | 9.0+ | [__]% |
| XSS | [__] | High | 7.0-8.9 | [__]% |
| Broken Access Control | [__] | High | 7.0-8.9 | [__]% |
| Sensitive Data Exposure | [__] | Medium | 4.0-6.9 | [__]% |
| Security Misconfiguration | [__] | Medium | 4.0-6.9 | [__]% |
## 3. LAYER-BY-LAYER ANALYSIS
### 3.1 Foundation Layer (Weight: 30%)
**Score: [__]/100 | Risk Level: [____]**
#### Certificate & Key Management
- **Active Certificates**: [__]
- **Expiring <90 days**: [__] ⚠️
- **Expired**: [__] 🔴
- **Key Rotation Compliance**: [__]%
#### Password Policy Effectiveness
```
Password Breach Analysis:
├── Compromised Passwords Found: [__]
├── Weak Passwords Detected: [__]
├── Policy Violations: [__]
└── Forced Resets Required: [__]
Password Age Distribution:
0-30 days: ████████████ [__]%
31-60 days: ████████ [__]%
61-90 days: ████ [__]%
>90 days: ██ [__]% ⚠️
```
### 3.2 User Experience Layer (Weight: 15%)
**Score: [__]/100 | Risk Level: [____]**
#### Session Security Analysis
| Metric | Current | Best Practice | Compliance |
| -------------------------- | --------- | ------------- | ---------- |
| Avg Session Duration | [__] mins | <120 mins | [✅/❌] |
| Concurrent Sessions | [__] | 1-2 | [✅/❌] |
| Session Hijacking Attempts | [__] | 0 | [✅/❌] |
| CSRF Attacks Blocked | [__] | N/A | [✅/❌] |
### 3.3 Application Logic Layer (Weight: 20%)
**Score: [__]/100 | Risk Level: [____]**
#### Flow Security Assessment
```
Flow Risk Distribution:
Low Risk: ████████████████ [__] flows
Medium Risk: ████████ [__] flows
High Risk: ████ [__] flows
Critical: ██ [__] flows
Remediation Required: [__] flows
Estimated Effort: [__] hours
```
### 3.4 Data Layer (Weight: 25%)
**Score: [__]/100 | Risk Level: [____]**
#### Sharing Model Effectiveness
```
Record Visibility Analysis:
├── Private Records: [__]M ([__]%)
├── Shared via Rules: [__]M ([__]%)
├── Manual Shares: [__]K ([__]%)
├── Public Access: [__]K ([__]%) ⚠️
└── Orphaned Shares: [__]K ([__]%)
Sharing Rule Complexity Score: [__]/10
Manual Sharing Risk Score: [__]/10
```
### 3.5 Integration Layer (Weight: 10%)
**Score: [__]/100 | Risk Level: [____]**
#### API Security Assessment
```
API Usage Statistics:
├── Total API Calls (24h): [__]M
├── Unique API Users: [__]
├── Failed Auth Attempts: [__]
├── Rate Limit Violations: [__]
└── Suspicious Patterns: [__]
API Security Score: [__]/100
```
## 4. RISK ANALYSIS & SCORING
### 4.1 Risk Scoring Matrix
| Risk ID | Category | Description | Likelihood | Impact | Score | Priority |
| ------- | ----------- | ------------------------- | ---------- | -------- | ----- | -------- |
| R001 | Access | System Admins without MFA | Very High | Critical | 50 | P0 |
| R002 | Data | Unencrypted PII | High | High | 40 | P0 |
| R003 | Integration | Unapproved Apps | High | High | 35 | P1 |
| R004 | Application | Without Sharing Classes | Medium | High | 30 | P1 |
| R005 | Compliance | GDPR Violations | Medium | Critical | 45 | P0 |
### 4.2 Risk Trend Analysis
```
Risk Score Trend (6 Months):
Score
50 ┤ ╱╲
40 ┤ ╱ ╲ ╱╲
30 ┤ ╱ ╲__╱ ╲___
20 ┤_╱ ╲
10 └─────────────────────
M-6 M-5 M-4 M-3 M-2 M-1
Current Trajectory: [Improving/Stable/Deteriorating]
Projected Risk (3 months): [__]
```
### 4.3 Threat Landscape Assessment
| Threat Vector | Current Controls | Effectiveness | Gap Analysis |
| ----------------- | ---------------- | ------------- | ------------------------ |
| External Attack | Firewall, MFA | [__]% | Need IP restrictions |
| Insider Threat | Monitoring, DLP | [__]% | Enhance monitoring |
| Data Exfiltration | Export controls | [__]% | Implement DLP |
| Account Takeover | MFA, Monitoring | [__]% | Add behavioral analysis |
| Supply Chain | App review | [__]% | Vendor assessment needed |
## 5. COMPLIANCE ASSESSMENT
### 5.1 Regulatory Compliance Status
#### GDPR Compliance Analysis
| Article | Requirement | Current State | Gap | Remediation |
| ------- | ------------------------- | ------------- | ------------- | ----------- |
| Art. 25 | Data Protection by Design | [__]% | [Description] | [Action] |
| Art. 32 | Security of Processing | [__]% | [Description] | [Action] |
| Art. 33 | Breach Notification | [__]% | [Description] | [Action] |
| Art. 17 | Right to Erasure | [__]% | [Description] | [Action] |
#### HIPAA Compliance (if applicable)
| Section | Control | Implementation | Evidence | Status |
| ---------- | --------------------- | -------------- | -------- | ---------- |
| 164.308(a) | Access Controls | [__]% | [Doc] | [✅/⚠️/❌] |
| 164.312(a) | Access Control | [__]% | [Doc] | [✅/⚠️/❌] |
| 164.312(e) | Transmission Security | [__]% | [Doc] | [✅/⚠️/❌] |
### 5.2 Industry Standards Compliance
```
ISO 27001 Control Coverage:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━
A.5 Security Policies: ████████████░░ 85%
A.9 Access Control: ██████████░░░░ 70%
A.12 Operations Security: ████████░░░░░░ 60%
A.13 Communications: ██████████████ 95%
A.14 System Development: ██████░░░░░░░░ 45%
Overall ISO 27001 Readiness: [__]%
```
## 6. TREND ANALYSIS & PREDICTIONS
### 6.1 Historical Security Metrics
```
12-Month Security Score Trend:
┌─────────────────────────────────────────┐
│ Month Score Δ Critical Resolved │
├─────────────────────────────────────────┤
│ [M-12] 65 -- 12 8 │
│ [M-11] 68 +3 10 11 │
│ [M-10] 67 -1 11 9 │
│ [M-9] 70 +3 8 10 │
│ [M-8] 72 +2 6 8 │
│ [M-7] 71 -1 7 6 │
│ [M-6] 73 +2 5 7 │
│ [M-5] 75 +2 4 5 │
│ [M-4] 74 -1 5 4 │
│ [M-3] 76 +2 3 5 │
│ [M-2] 78 +2 2 3 │
│ [M-1] 77 -1 3 2 │
│ Current [__] [±_] [_] [_] │
└─────────────────────────────────────────┘
```
### 6.2 Predictive Analytics
**Security Score Projection (Next 6 Months)**
```
Scenario Analysis:
Best Case (all remediations): 92/100
Likely Case (priority only): 85/100
Worst Case (no action): 71/100
Recommended Target: 88/100
Investment Required: $[___]K
ROI (Risk Reduction): [__]%
```
### 6.3 Emerging Threat Analysis
| Threat | Probability | Timeline | Preparedness | Action Required |
| ----------------------- | ----------- | -------- | ------------ | ------------------ |
| AI-Powered Attacks | High | 6-12mo | Low | Enhance monitoring |
| Supply Chain Compromise | Medium | 3-6mo | Medium | Vendor assessment |
| Ransomware | Medium | Ongoing | High | Maintain backups |
| Zero-Day Exploits | Low | Unknown | Medium | Patch management |
## 7. DETAILED FINDINGS
### 7.1 Critical Findings (Immediate Action Required)
#### Finding #1: System Administrator Access Control
- **Risk Score**: 10/10
- **Affected Users**: [__]
- **Business Impact**: Complete system compromise possible
- **Evidence**: [Query results showing users without MFA]
- **Recommendation**: Enable MFA immediately
- **Effort**: 2 hours
- **Cost**: $0
#### Finding #2: Unencrypted PII Data
- **Risk Score**: 9/10
- **Affected Records**: [___]K
- **Business Impact**: GDPR fines up to $[__]M
- **Evidence**: [Field analysis showing unencrypted fields]
- **Recommendation**: Implement Platform Encryption
- **Effort**: 40 hours
- **Cost**: $[__]K/year
### 7.2 High Priority Findings
[Continue with detailed findings...]
## 8. REMEDIATION ROADMAP
### 8.1 Remediation Timeline
```
Week 1-2: Critical Issues
├── Enable MFA for all System Admins
├── Remove unnecessary Modify All permissions
├── Encrypt PII fields
└── Approve/remove connected apps
Week 3-4: High Priority
├── Implement IP restrictions
├── Fix Apex sharing violations
├── Configure session security
└── Review guest user access
Month 2: Medium Priority
├── Implement field audit trail
├── Optimize sharing model
├── Deploy monitoring solution
└── Conduct security training
Month 3: Enhancement
├── Implement Shield
├── Deploy Event Monitoring
├── Automate compliance checks
└── Establish security metrics
```
### 8.2 Resource Requirements
| Phase | Duration | Resources | Cost | Risk Reduction |
| ----------- | ------------ | ----------- | ---------- | -------------- |
| Critical | 2 weeks | 2 FTE | $[__]K | 40% |
| High | 2 weeks | 3 FTE | $[__]K | 25% |
| Medium | 4 weeks | 2 FTE | $[__]K | 20% |
| Enhancement | 4 weeks | 2 FTE | $[__]K | 15% |
| **TOTAL** | **12 weeks** | **2-3 FTE** | **$[__]K** | **70%** |
### 8.3 Success Metrics
```
Target KPIs (90 days):
├── Security Score: ≥85/100
├── MFA Coverage: 100%
├── Critical Findings: 0
├── High Findings: ≤3
├── Compliance Score: ≥95%
└── Mean Time to Detect: ≤1 hour
```
## APPENDICES
### Appendix A: SOQL Query Results
[Detailed query results and raw data]
### Appendix B: Technical Configuration Details
[Current security settings and configurations]
### Appendix C: Compliance Evidence
[Screenshots and documentation]
### Appendix D: Remediation Scripts
[Automation scripts and tools]
### Appendix E: Security Policies
[Recommended policy templates]
## DOCUMENT CONTROL
| Version | Date | Author | Changes | Approved By |
| ------- | ------ | ------ | -------------- | ----------- |
| 1.0 | [Date] | [Name] | Initial Report | [Name] |
| 1.1 | [Date] | [Name] | [Changes] | [Name] |
**Classification**: CONFIDENTIAL
**Retention**: 7 years
**Next Review**: [Date]
## SIGNATURES
**Prepared By:**
[Name], Security Analyst
Date: **\*\***\_\_\_**\*\***
**Reviewed By:**
[Name], Security Manager
Date: **\*\***\_\_\_**\*\***
**Approved By:**
[Name], CISO
Date: **\*\***\_\_\_**\*\***
_End of Report - Page [__] of [__]_