GITNUXREPORT 2025

AI In The It Security Industry Statistics

AI revolutionizes cybersecurity, improving detection, response, and threat mitigation rapidly.

Jannik Linder

Co-Founder of Gitnux, specialized in content and tech since 2016.

First published: April 29, 2025

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Rigorous fact-checking • Reputable sources • Regular updatesLearn more

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69% of organizations believe AI is essential for their cybersecurity strategy

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80% of security vendors are integrating AI into their solutions

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The use of machine learning, a subset of AI, in cybersecurity solutions increased by 58% in 2022

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The global investment in AI cybersecurity startups reached $2.3 billion in 2022

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71% of organizations are planning to expand their AI security investments in the next 12 months

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The integration of AI with IoT security solutions increased 65% from 2020 to 2023

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AI and machine learning are used in 76% of advanced endpoint detection solutions

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47% of threat detection solutions now incorporate some form of AI

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AI-based predictive analytics in cybersecurity is expected to grow at a CAGR of 25% through 2028

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60% of security professionals say AI has reduced their incident response times

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72% of IT security experts believe that AI will be a critical component in detecting advanced threats

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AI-based threat detection accuracy has improved by 40% over the last three years

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55% of organizations report that AI helps identify zero-day vulnerabilities faster

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65% of cybersecurity alerts are false positives, which AI can help reduce significantly

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45% of organizations have experienced a security breach caused by AI or machine learning system failures

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78% of cybersecurity professionals believe that AI will automate significant parts of security management by 2025

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55% of cybersecurity teams say AI has helped enhance their threat intelligence capabilities

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70% of cybersecurity organizations acknowledge that AI can help identify insider threats more effectively

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53% of security leaders see AI as a way to reduce the number of security personnel needed

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AI-based security tools can detect ransomware activity with 85% accuracy

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69% of security analysts believe AI can help predict and prevent future cyber attacks

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AI-driven security automation reduces incident response time by an average of 42%

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In 2023, AI-based anomaly detection solutions prevented an estimated 120,000 cyber threats globally

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AI-powered detection systems can identify 92% of known cyber threat signatures

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77% of companies using AI in cybersecurity reported improved threat detection capabilities

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58% of security professionals believe AI helps detect insider threats more accurately

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Companies using AI for threat hunting report 35% faster identification of threats

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AI-powered identity verification solutions reduced fraud rates by 46% in 2022

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70% of organizations say AI reduces the workload of cybersecurity teams

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37% of organizations report that AI has helped them meet compliance requirements more efficiently

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AI-enabled phishing detection systems can block 89% of phishing attempts in real-time

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69% of enterprises believe that AI enhances their ability to recover from breaches faster

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The global AI security market size was valued at $8.84 billion in 2022 and is projected to reach $48.65 billion by 2028

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The use of AI in cybersecurity by enterprises increased 70% between 2020 and 2022

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42% of organizations plan to increase their AI security budget by over 50% in the next two years

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Implementations of AI in cybersecurity saw a 65% growth in enterprise environments from 2021 to 2023

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The use of AI for malware detection is expected to grow at a CAGR of 22.5% through 2027

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The adoption of AI in cybersecurity solutions has increased by 50% year-over-year since 2021

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The use of AI in security operations centers (SOCs) has increased 60% since 2020

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The annual growth rate of AI investment in cybersecurity has been 58% over the past three years

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85% of cybersecurity firms plan to increase AI R&D spending over the next two years

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The adoption of AI for compliance monitoring increased by 48% in 2022

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In 2023, 40% of cyber attacks used AI-based tactics such as deepfakes and automated phishing

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67% of security incidents in 2022 involved AI or automation at some stage of the attack lifecycle

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Phishing attacks utilizing AI increased by 33% in 2022

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62% of organizations experienced a data breach linked to AI or automated systems failure

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49% of cyber incidents in 2022 involved some form of automation powered by AI

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65% of cyberattacks in 2023 involved some AI-driven component

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60% of threat actors use AI for adversarial attacks

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Sources

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Key Highlights

69% of organizations believe AI is essential for their cybersecurity strategy
The global AI security market size was valued at $8.84 billion in 2022 and is projected to reach $48.65 billion by 2028
60% of security professionals say AI has reduced their incident response times
72% of IT security experts believe that AI will be a critical component in detecting advanced threats
The use of AI in cybersecurity by enterprises increased 70% between 2020 and 2022
AI-based threat detection accuracy has improved by 40% over the last three years
55% of organizations report that AI helps identify zero-day vulnerabilities faster
80% of security vendors are integrating AI into their solutions
The use of machine learning, a subset of AI, in cybersecurity solutions increased by 58% in 2022
65% of cybersecurity alerts are false positives, which AI can help reduce significantly
45% of organizations have experienced a security breach caused by AI or machine learning system failures
78% of cybersecurity professionals believe that AI will automate significant parts of security management by 2025
In 2023, 40% of cyber attacks used AI-based tactics such as deepfakes and automated phishing

As cyber threats become more sophisticated and pervasive, AI is revolutionizing the IT security industry, with 69% of organizations now considering it essential and the market expected to soar from $8.84 billion in 2022 to $48.65 billion by 2028.

AI Adoption and Investment in Cybersecurity

69% of organizations believe AI is essential for their cybersecurity strategy
80% of security vendors are integrating AI into their solutions
The use of machine learning, a subset of AI, in cybersecurity solutions increased by 58% in 2022
The global investment in AI cybersecurity startups reached $2.3 billion in 2022
71% of organizations are planning to expand their AI security investments in the next 12 months
The integration of AI with IoT security solutions increased 65% from 2020 to 2023

AI Adoption and Investment in Cybersecurity Interpretation

With 69% of organizations deeming AI vital to cybersecurity and an 80% vendor integration rate, it's clear that in the rapidly evolving digital battleground, AI is no longer just a tool but the strategic armor—and the investment surge, including a $2.3 billion boost in startups, signals an unwavering consensus that AI's intelligence will be the frontline defense in the future of IT security.

AI Applications and Technologies in Security

AI and machine learning are used in 76% of advanced endpoint detection solutions
47% of threat detection solutions now incorporate some form of AI
AI-based predictive analytics in cybersecurity is expected to grow at a CAGR of 25% through 2028

AI Applications and Technologies in Security Interpretation

With AI now embedded in nearly all advanced endpoint detection and threat detection solutions—projected to grow at a 25% CAGR—cybersecurity's future hinges on machines not just keeping pace, but outthinking threats before they strike.

Impact and Effectiveness of AI in Cybersecurity

60% of security professionals say AI has reduced their incident response times
72% of IT security experts believe that AI will be a critical component in detecting advanced threats
AI-based threat detection accuracy has improved by 40% over the last three years
55% of organizations report that AI helps identify zero-day vulnerabilities faster
65% of cybersecurity alerts are false positives, which AI can help reduce significantly
45% of organizations have experienced a security breach caused by AI or machine learning system failures
78% of cybersecurity professionals believe that AI will automate significant parts of security management by 2025
55% of cybersecurity teams say AI has helped enhance their threat intelligence capabilities
70% of cybersecurity organizations acknowledge that AI can help identify insider threats more effectively
53% of security leaders see AI as a way to reduce the number of security personnel needed
AI-based security tools can detect ransomware activity with 85% accuracy
69% of security analysts believe AI can help predict and prevent future cyber attacks
AI-driven security automation reduces incident response time by an average of 42%
In 2023, AI-based anomaly detection solutions prevented an estimated 120,000 cyber threats globally
AI-powered detection systems can identify 92% of known cyber threat signatures
77% of companies using AI in cybersecurity reported improved threat detection capabilities
58% of security professionals believe AI helps detect insider threats more accurately
Companies using AI for threat hunting report 35% faster identification of threats
AI-powered identity verification solutions reduced fraud rates by 46% in 2022
70% of organizations say AI reduces the workload of cybersecurity teams
37% of organizations report that AI has helped them meet compliance requirements more efficiently
AI-enabled phishing detection systems can block 89% of phishing attempts in real-time
69% of enterprises believe that AI enhances their ability to recover from breaches faster

Impact and Effectiveness of AI in Cybersecurity Interpretation

As AI revolutionizes cybersecurity with faster response times, smarter threat detection, and reduced false positives, it’s clear that while AI is our digital sentinel enhancing defenses and efficiency, organizations must remain vigilant against the risks of over-reliance and system failures to truly harness its protective power.

Market Trends, Growth, and Industry Perspectives

The global AI security market size was valued at $8.84 billion in 2022 and is projected to reach $48.65 billion by 2028
The use of AI in cybersecurity by enterprises increased 70% between 2020 and 2022
42% of organizations plan to increase their AI security budget by over 50% in the next two years
Implementations of AI in cybersecurity saw a 65% growth in enterprise environments from 2021 to 2023
The use of AI for malware detection is expected to grow at a CAGR of 22.5% through 2027
The adoption of AI in cybersecurity solutions has increased by 50% year-over-year since 2021
The use of AI in security operations centers (SOCs) has increased 60% since 2020
The annual growth rate of AI investment in cybersecurity has been 58% over the past three years
85% of cybersecurity firms plan to increase AI R&D spending over the next two years
The adoption of AI for compliance monitoring increased by 48% in 2022

Market Trends, Growth, and Industry Perspectives Interpretation

As AI's security prowess skyrockets—from a market set to hit nearly $49 billion by 2028 to a 70% surge in enterprise use since 2020—it's clear that in today's digital battleground, organizations are not just investing in smarter defenses but betting heavily that machines will be their best line of cyberfire.

Threats, Attacks, and Adversarial Use of AI

In 2023, 40% of cyber attacks used AI-based tactics such as deepfakes and automated phishing
67% of security incidents in 2022 involved AI or automation at some stage of the attack lifecycle
Phishing attacks utilizing AI increased by 33% in 2022
62% of organizations experienced a data breach linked to AI or automated systems failure
49% of cyber incidents in 2022 involved some form of automation powered by AI
65% of cyberattacks in 2023 involved some AI-driven component
60% of threat actors use AI for adversarial attacks

Threats, Attacks, and Adversarial Use of AI Interpretation

As AI continues to embed itself into the fabric of cyber warfare, organizations face a stark reality: in 2023, nearly two-thirds of cyber threats leverage AI, transforming defense into a high-stakes game of cat and mouse where attackers wield machine intelligence as both sword and shield.