Title: Comprehensive Guide to Cybersecurity Risk Metrics: Stay Ahead of Threats
1ersecurit
etrics
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21. Mean Time to Detect (MTTD)
u INFOSECTRA N
_at_ Description Measures the average time to
identify a security incident _at_ Formula MTTD
Time to Detect Each Incident/Total Number of
Incidents _at_ Significance Shorter MTTD means
efficient threat detection
32. Mean Time to Respond (MTTR)
u INFOSECTRA N
_at_ Description Measures the average time to
respond to a security incident _at_ Formula MTTR
Time to Respond Each Incident/Total Number of
Incidents _at_ Significance Shorter MTTR indicates
the effective incident response
43. Number of Detected Incidents
u INFOSECTRA N
_at_ Description Counts the total security
incidents detected in a timeframe _at_ Formula
/(All Security Incidents Detected Over a Specific
Period) _at_ Significance Understands threat scope
and guides resource allocation
54. Number of Successful Attacks
u INFOSECTRA N
_at_ Description Tracks total successful
security breaches _at_ Formula Total Security
Incidents Resulting in Compromise/Time
Period _at_ Significance Highlights areas
needing reinforcement
65. Vulnerability Scanning Metrics
u INFOSECTRA N
_at_ Description Assess the number of detected
vulnera ties by severity _at_ Formula Aggregate
data from vulnera ty scans _at_ Significance Priori
tizes remediation efforts
76. Phishing Success Rate
u INFOSECTRA N
_at_ Description Measures the percentage of
successful phishing attempts _at_ Formula Phishing
Success Rate (Number of Successful Phishing
Attempts/Total Number of Phishing Attempts)
x100 _at_ Significance Evaluates anti-phishing
training effectiveness
87. Compliance Metrics
u INFOSECTRA N
_at_ Description Assesses adherence to regulations
and security policies _at_ Formula
Compliance Percentage (Number of Compliant
Entities/Total Number of Entities)x100 _at_ Significa
nce Ensures regulatory compliance and enhances
security
98. False Positive/Negative Rates
u INFOSECTRA N
- _at_ Description Measures the accuracy of security
systems - _at_ Formula False Positive Rate (Number of False
- Positives/Total Number of Alerts)x 100 False
Negative Rate (Number of False Negatives/Total
Number of Incidents)x 100 - _at_ Significance Balancing these rates refines
incident detection and response accuracy
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