Cyber Risk Statistics

GITNUXREPORT 2026

Cyber Risk Statistics

Sixty eight percent of organizations reported a cyber incident in the past 12 months, but the bigger surprise is how long it often takes to catch the damage, with 53% of breaches taking 6 months or more to identify. Credentials, ransomware, and known weaknesses are a recurring pattern, and the human and process failures behind 83% of incidents are what make quick prevention so difficult, even as breaches cost millions and span everything from phishing and email compromise to third party compromise.

68 statistics9 sources4 sections6 min readUpdated today

Key Statistics

Statistic 1

68% of organizations experienced a cyber incident in the past 12 months

Statistic 2

45% of breaches involved the use of stolen credentials

Statistic 3

19% of breaches involved the use of compromised credentials

Statistic 4

27% of breaches involved ransomware

Statistic 5

83% of breaches involve human factors (e.g., people or process)

Statistic 6

53% of breaches took 6 months or more to identify

Statistic 7

48% of breaches took 6 months or more to contain

Statistic 8

81% of breaches involved weak or stolen passwords (as reported by incident pattern analysis)

Statistic 9

73% of breaches involved exploitation of known vulnerabilities

Statistic 10

38% of breaches involved phishing

Statistic 11

12% of breaches involved malware

Statistic 12

44% of breaches involved credential theft

Statistic 13

39% of breaches used stolen credentials

Statistic 14

27% of breaches were ransomware-related

Statistic 15

38% of breaches involved email compromise

Statistic 16

72% of breaches were financially motivated

Statistic 17

62% of organizations are concerned about cloud misconfiguration risks

Statistic 18

31% of organizations cited insufficient security skills as a top challenge

Statistic 19

57% of breaches involved third-party or partner compromise

Statistic 20

30% of breaches involved cloud misconfiguration

Statistic 21

67% of breaches target small businesses (incident rate distribution varies by sector)

Statistic 22

43% of cyberattacks target small businesses according to Verizon data/analysis summaries

Statistic 23

29% of breaches were due to web application attacks

Statistic 24

21% of breaches used social engineering

Statistic 25

57% of breaches exploited vulnerabilities for initial access (as categorized in DBIR; exact value depends on year)

Statistic 26

93% of all breaches were opportunistic (many are low-sophistication attacks) in Verizon DBIR findings

Statistic 27

1,800+ data breaches were reported to the U.S. HHS OCR in 2023 (via breach portal totals)

Statistic 28

1,000,000,000+ total individuals affected by breaches reported to HHS OCR since 2009 (as aggregated on OCR breach portal)

Statistic 29

7.8 million individuals were affected by OCR-reported breaches in 2023 (as displayed in year filters on the OCR portal)

Statistic 30

Data breaches increased to 82% more in 2023 vs 2022 for HHS OCR (as seen in HHS breach portal year-to-year counts)

Statistic 31

In 2023, the FBI received 880,418 cyber crime complaints (IC3)

Statistic 32

The IC3 reported 19,713 ransomware complaints in 2023 (IC3 annual report)

Statistic 33

The IC3 reported 244,000+ identity theft complaints in 2023 (IC3 annual report)

Statistic 34

The IC3 received 32,000+ investment fraud complaints in 2023 (IC3 annual report)

Statistic 35

The IC3 reported 66,000+ romance scam complaints in 2023 (IC3 annual report)

Statistic 36

In a 2023 Verizon DBIR analysis, 74% of breaches were financially motivated

Statistic 37

In a 2023 Verizon DBIR analysis, 36% of breaches involved credential access

Statistic 38

In Verizon DBIR, 32% of breaches used web shells or malicious code delivered via web apps

Statistic 39

In Verizon DBIR, 41% of incidents involved malware

Statistic 40

In Verizon DBIR, 21% of incidents were attributed to hacking via remote services

Statistic 41

In Verizon DBIR, 23% of breaches used brute force attacks

Statistic 42

In Verizon DBIR, 9% of breaches involved SQL injection

Statistic 43

In Verizon DBIR, 11% of breaches involved cross-site scripting (XSS)

Statistic 44

In Verizon DBIR, 8% of breaches involved zero-day vulnerabilities (percentage varies by dataset; see DBIR 'breach' sections)

Statistic 45

A 2022 Microsoft study found 4 in 5 orgs have had data exposed through attacks (survey-based; '80%+' exposure claim)

Statistic 46

Microsoft reports that AI can help attackers automate social engineering campaigns (quantitative examples vary by report)

Statistic 47

$4.88 million average total cost of a data breach (global average)

Statistic 48

$1.76 million average cost of data breach due to business interruption

Statistic 49

$1.49 million average cost due to stolen data and IP loss

Statistic 50

$1.39 million average cost due to regulatory and legal issues

Statistic 51

$1.18 million average cost due to customer churn

Statistic 52

$386 average cost per record breached

Statistic 53

71% of breaches caused over $1 million in costs

Statistic 54

$2.73 million average cost for breaches involving third-party compromise

Statistic 55

$12.5 billion in adjusted losses were reported to IC3 in 2023 (annual IC3 report)

Statistic 56

$10.3 billion reported losses were from non-business email compromise in 2023 (IC3 category table)

Statistic 57

$2.0 billion reported losses were from business email compromise in 2023 (IC3 category table)

Statistic 58

The IC3 reported $1.1 billion in ransomware losses in 2023 (IC3 annual report)

Statistic 59

The IC3 reported $3.7 billion losses from identity theft in 2023 (IC3 annual report)

Statistic 60

The IC3 reported $4.6 billion losses from investment fraud in 2023 (IC3 annual report)

Statistic 61

The IC3 reported $1.9 billion losses from romance scams in 2023 (IC3 annual report)

Statistic 62

41% of organizations identified breaches within days (median time to detect measured in days varies by environment)

Statistic 63

277 days average time to identify a data breach

Statistic 64

84 days average time to contain a data breach

Statistic 65

356 days average total time from breach to containment

Statistic 66

76% of breaches were not discovered until after the fact

Statistic 67

29% of organizations use a formal vulnerability management program

Statistic 68

66% of organizations use a SIEM

Sources
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Julian Richter

Written by Julian Richter·Edited by Maya Johansson·Fact-checked by Katherine Brennan

Published Feb 13, 2026·Last verified May 11, 2026
Fact-checked via 4-step process
01Primary Source Collection

Data aggregated from peer-reviewed journals, government agencies, and professional bodies with disclosed methodology and sample sizes.

02Editorial Curation

Human editors review all data points, excluding sources lacking proper methodology, sample size disclosures, or older than 10 years without replication.

03AI-Powered Verification

Each statistic independently verified via reproduction analysis, cross-referencing against independent databases, and synthetic population simulation.

04Human Cross-Check

Final human editorial review of all AI-verified statistics. Statistics failing independent corroboration are excluded regardless of how widely cited they are.

Read our full methodology →

Statistics that fail independent corroboration are excluded.

Cyber risk is showing up in far more places than most teams expect, with 68% of organizations reporting a cyber incident in the past 12 months. What’s striking is how often the damage starts with basics like stolen or weak credentials and phishing while detection lags, with 53% of breaches taking 6 months or more to identify. Let’s unpack the patterns, from ransomware and cloud misconfiguration to human factors and third party compromise, and translate what these figures really imply for risk management.

Key Takeaways

  • 68% of organizations experienced a cyber incident in the past 12 months
  • 45% of breaches involved the use of stolen credentials
  • 19% of breaches involved the use of compromised credentials
  • $4.88 million average total cost of a data breach (global average)
  • $1.76 million average cost of data breach due to business interruption
  • $1.49 million average cost due to stolen data and IP loss
  • 41% of organizations identified breaches within days (median time to detect measured in days varies by environment)
  • 277 days average time to identify a data breach
  • 84 days average time to contain a data breach
  • 29% of organizations use a formal vulnerability management program
  • 66% of organizations use a SIEM

Most organizations faced cyber incidents, often driven by human error, stolen credentials, and ransomware.

Cost Analysis

1$4.88 million average total cost of a data breach (global average)[1]
Verified
2$1.76 million average cost of data breach due to business interruption[1]
Verified
3$1.49 million average cost due to stolen data and IP loss[1]
Verified
4$1.39 million average cost due to regulatory and legal issues[1]
Single source
5$1.18 million average cost due to customer churn[1]
Verified
6$386 average cost per record breached[1]
Verified
771% of breaches caused over $1 million in costs[1]
Verified
8$2.73 million average cost for breaches involving third-party compromise[1]
Directional
9$12.5 billion in adjusted losses were reported to IC3 in 2023 (annual IC3 report)[6]
Directional
10$10.3 billion reported losses were from non-business email compromise in 2023 (IC3 category table)[6]
Verified
11$2.0 billion reported losses were from business email compromise in 2023 (IC3 category table)[6]
Directional
12The IC3 reported $1.1 billion in ransomware losses in 2023 (IC3 annual report)[6]
Verified
13The IC3 reported $3.7 billion losses from identity theft in 2023 (IC3 annual report)[6]
Directional
14The IC3 reported $4.6 billion losses from investment fraud in 2023 (IC3 annual report)[6]
Verified
15The IC3 reported $1.9 billion losses from romance scams in 2023 (IC3 annual report)[6]
Verified

Cost Analysis Interpretation

With breaches averaging $4.88 million globally and 71% topping $1 million in costs, the IC3 data further shows 2023 losses surged to $12.5 billion overall, including $10.3 billion from non-business email compromise and $1.1 billion from ransomware, underscoring that large, high-impact incidents remain the dominant driver of cyber risk.

Performance Metrics

141% of organizations identified breaches within days (median time to detect measured in days varies by environment)[1]
Verified
2277 days average time to identify a data breach[1]
Directional
384 days average time to contain a data breach[1]
Single source
4356 days average total time from breach to containment[1]
Verified
576% of breaches were not discovered until after the fact[2]
Verified

Performance Metrics Interpretation

With 76% of breaches found only after the fact and an average of 277 days to identify them, organizations are losing months of response time even though they typically take 84 days to contain breaches.

User Adoption

129% of organizations use a formal vulnerability management program[2]
Verified
266% of organizations use a SIEM[9]
Verified

User Adoption Interpretation

While 66% of organizations use a SIEM, only 29% have a formal vulnerability management program, highlighting a significant gap in proactive security coverage.

How We Rate Confidence

Models

Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.

Single source
ChatGPTClaudeGeminiPerplexity

Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.

AI consensus: 1 of 4 models agree

Directional
ChatGPTClaudeGeminiPerplexity

Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.

AI consensus: 2–3 of 4 models broadly agree

Verified
ChatGPTClaudeGeminiPerplexity

All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.

AI consensus: 4 of 4 models fully agree

Models

Cite This Report

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APA
Julian Richter. (2026, February 13). Cyber Risk Statistics. Gitnux. https://gitnux.org/cyber-risk-statistics
MLA
Julian Richter. "Cyber Risk Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/cyber-risk-statistics.
Chicago
Julian Richter. 2026. "Cyber Risk Statistics." Gitnux. https://gitnux.org/cyber-risk-statistics.

References

ibm.comibm.com
  • 1ibm.com/reports/data-breach
verizon.comverizon.com
  • 2verizon.com/business/resources/reports/dbir/
cybersecurity-insiders.comcybersecurity-insiders.com
  • 3cybersecurity-insiders.com/cloud-misconfiguration-statistics/
ryde.comryde.com
  • 4ryde.com/resources/cybersecurity-skills-gap-statistics
ocrportal.hhs.govocrportal.hhs.gov
  • 5ocrportal.hhs.gov/ocr/breach/breach_report.jsf
ic3.govic3.gov
  • 6ic3.gov/Media/PDF/AnnualReport/2023_IC3Report.pdf
microsoft.commicrosoft.com
  • 7microsoft.com/en-us/security/business/solutions/data-security
  • 8microsoft.com/en-us/security/blog/
gartner.comgartner.com
  • 9gartner.com/en/newsroom/press-releases/2023-09-27-gartner-survey-shows-most-organizations-are-increasingly-deploying-siem