The Ultimate List: 70+ AI-Powered Cybersecurity Stats & Trends

Blog Overview: AI is rapidly transforming cybersecurity, with organizations leveraging it for threat detection, automated response, and risk mitigation. This blog explores key 2025 statistics on AI-powered attacks, phishing, deepfakes, and enterprise adoption, revealing how AI is reshaping security strategies while exposing new vulnerabilities. Discover the data behind this evolving landscape.

As cyber threats evolve in complexity and scale, the need for advanced defense mechanisms has never been more urgent. Traditional cybersecurity strategies are increasingly inadequate against sophisticated attacks like zero-day exploits, ransomware, supply chain compromises, and AI-powered phishing attempts. In this context, Artificial Intelligence (AI) has emerged as a critical component of modern cybersecurity, offering both unprecedented opportunities for defense and new avenues for cyber threats.

As we move forward by adopting digital infrastructure, understanding the statistical landscape of AI’s integration into cybersecurity is crucial for organizations. Backed by data-driven research and key statistics, we’ll explore the current landscape of AI adoption—its role in preventing data breaches, the challenges organizations face, and the broader economic impact of this evolving technology.

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Artificial Intelligence (AI) In Cybersecurity Market Key Takeaways

As per the market research, the global AI in cybersecurity market size was estimated to reach USD 25.35 billion in 2024 and is expected to rise from 2025 to 2030 with a CAGR of 24.4%.

• The AI in cybersecurity market is projected to surpass around USD 146.52 billion by 2034, with a CAGR of 19.43% between 2024 and 2034.
• Valued at 24.3 billion U.S. dollars in 2023, it is projected to double by 2026 and reach nearly 134 billion U.S. dollars by 2030.
• A 2024 survey revealed that 54% of U.S. respondents identified this application as their primary AI-enabled cybersecurity strategy.
• The North America artificial intelligence (AI) in cybersecurity market size is calculated at USD 9.43 billion in 2024 and is expected to grow at a fastest CAGR of 19.57% during the forecast year.

The U.S. artificial intelligence (AI) in cybersecurity market size is exhibited at USD 6.60 billion in 2024. Moreover, it’s expected to be worth around USD 39.77 billion by 2034, growing at a CAGR of 19.64% from 2024 to 2034.

As per MarketsandMarkets research, the global Artificial Intelligence in Cybersecurity Market size was valued at USD 22.4 billion in 2023 and is expected to grow at a CAGR of 21.9% from 2023 to 2028. The revenue forecast for 2028 is projected to reach $60.6 billion.

• Geography: North America accounted for the largest share of global revenue in 2023, contributing approximately 38%.
• Type: The network security segment is expected to make a substantial contribution to the total revenue.
• Offering: Services are projected to hold a significant share, representing around 36% of the overall revenue.
• Technology: Machine learning led the technology segment, capturing over 47% of the total revenue.
• Vertical: The enterprise sector emerged as a major contributor, generating more than 24% of the revenue.
• Application: Fraud detection and anti-fraud applications accounted for over 22% of the total market revenue.
• There are 3,194 Artificial Intelligence (AI) companies in Cybersecurity worldwide. The leading companies include Splunk, Palo Alto Networks, Darktrace, CrowdStrike, Ping Identity, ZeroThreat, and Fortinet.
• Over the past 10 years, an average of 221 new companies have been launched annually.
• Over the past few months, the banking sector has experienced a 280% surge in cyber-attacks, a threat that can be significantly mitigated with AI-driven defenses.

• 90% of organizations are actively implementing or planning to explore large language model (LLM) use cases, while only 5% feel highly confident in their AI security preparedness.
• The AI in cybersecurity market is projected to grow by $8.3 billion over the next five years, reflecting its rising adoption across industries.
• Approximately 61% of organizations report they cannot effectively respond to breach attempts without AI support.
• In recent years, more than half of cybercrimes have involved the use of AI and machine learning, highlighting the dual-use nature of these technologies.
• Up to 75% of security awareness professionals are expected to implement AI-based solutions into their daily operations.
• Currently, 63% of security breaches are detected more quickly when AI is integrated into cybersecurity systems.
• 69% of companies believe they cannot effectively respond to cyber threats without AI assistance.
• Reflecting a major shift in cyber warfare, cybercriminals are reportedly freeing up to 60% of their time through the use of AI-driven automation.

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Impact of AI on Cybersecurity – Key Statistics

• AI-based solutions reduce IoT security risks by 60%.
• AI automates up to 80% of cybersecurity operations.
• AI-powered behavioral analysis reduces cyberattack success rates by 73%.
• AI predicts 85% of data breaches before they occur.
• 60% of cybercriminal groups now use generative AI for attacks.
• AI enhances dark web threat intelligence by 68%.
• AI improves Security Operations Center (SOC) efficiency by 95%.
• AI-driven spear phishing emails have a 92% higher success rate.
• AI-driven network security reduces breach likelihood by 83%.
• 80% of AI-driven security systems have been tested against adversarial AI attacks.
• AI-driven endpoint security reduces attacks by 72%.
• AI-based cloud security tools reduce misconfigurations by 65%.
• AI-powered email filtering reduces spam and malicious emails by 94%.
• AI-powered tools can crack 51% of passwords in less than a minute.
• AI improves zero-day vulnerability detection rates by 70%, significantly enhancing organizations’ ability to identify and mitigate previously unknown threats.
• AI helps reduce insider threats by 45%, enabling organizations to detect unusual behavior patterns and prevent internal security breaches more effectively.
• Companies using AI-driven security save an average of $3.81 million per breach, highlighting the significant cost advantage of proactive, AI-powered threat detection and response.

Adoption of AI in Cybersecurity

The adoption of AI in cybersecurity is accelerating across industries. Now is the time to get deeper into how organizations and security professionals perceive AI’s impact—its growing importance, practical applications, and potential to reshape the future of cyber defense.

• 55% of organizations are planning to adopt GenAI solutions within the year. This reflects a significant shift toward AI-driven cybersecurity strategies and widespread industry adoption.
• 48% of cybersecurity professionals express confidence in their organization's ability to implement an AI-based security strategy. While this data shows growing readiness, it also highlights a gap where many teams may still require additional resources or training.
• Only 12% of security professionals believe AI will fully replace their roles. This suggests that the majority view AI as an enhancement to human expertise, not a substitute.
• 68% of these businesses in the survey were currently using at least one AI technology, while 32% had plans to adopt AI in the future.
• Among businesses currently leveraging AI, 64% are utilizing a single type of AI technology, while 22% have adopted two types, and 14% are employing three or more AI technologies—indicating a growing trend toward multi-layered AI integration in cybersecurity strategies.
• Among businesses currently leveraging AI, natural language processing and generation is the most prevalent, with 38% of organizations adopting it. This is followed by machine learning at 27%, and computer vision, image processing, and generation at 25%.
• 9% of businesses reported using AI-related hardware, while 8% are implementing RPA, showcasing a broad spectrum of AI technologies being integrated into operations.
• 38% to 60% of businesses adopted AI technologies primarily through the purchase of external software or ready-to-use systems.
• 21% of businesses reported developing machine learning technologies in-house.
• 34% of organizations chose to outsource development of AI-related hardware, making it the most commonly outsourced AI function.
• Among current AI users, 47% reported having no specific cybersecurity practices in place for AI technologies, while 13% were unsure about their organization's practices.
• Of those planning to adopt AI in the future:
  1. 25% stated their organization would not implement dedicated cybersecurity measures for AI.
  2. Another 25% were unsure whether such practices would be established.
• Among organizations without — or not intending to implement — specific AI-related cybersecurity practices:
  1. 14% admitted they had not considered the need or lacked sufficient knowledge.
  2. Another 14% believed that AI was not being used for sensitive applications, thus didn't require special security measures.
• A report from BlackBerry suggests that 95% of IT decision-makers believe that governments should take responsibility for regulating advanced technologies like ChatGPT.
• ChatGPT usage has surged by 634.1%, making it the fastest-growing AI application—despite also being the most-blocked by enterprises.
• 85% of organizations feel confident in their data security strategies to keep pace with the rapid evolution of AI.
• 35% of companies report they are already leveraging AI across various business functions.

The Hidden Risks Behind AI Adoption

As investments in AI surge, there's broad consensus that defensive AI will play a critical role in strengthening cybersecurity. While the technology offers promising advantages in threat detection, prevention, and response, it also introduces new risks and complex challenges that cannot be overlooked.

In a recent survey conducted by the Cloud Security Alliance (CSA), respondents highlighted several key concerns regarding the use of AI in cybersecurity:

Confidence in current security measures remains notably low. Only 5% of respondents rated their confidence at the highest level—five out of five.

According to a survey by Lakera, a significant 86% of participants expressed moderate to low confidence in their existing security strategies’ ability to defend against advanced AI-driven attacks, reflecting widespread uncertainty about current preparedness.

• According to a Statista report, nearly 50% of global business and cybersecurity leaders cited the advancement of adversarial techniques, including phishing, malware development, and deepfakes, as their top concern regarding the impact of generative AI on cybersecurity.
• Meanwhile, 60% of organizations admit they are not adequately prepared to defend against AI-driven cyberattacks.
• In a striking indicator of rising caution, enterprises are now blocking 18.5% of all AI/ML transactions—a 577% increase over just nine months—highlighting escalating fears around AI data security and a growing hesitance to implement AI policies.
• A staggering 77% of companies reported experiencing security breaches in their AI systems within the past year, underscoring the growing risks associated with AI integration.
• Additionally, over 95% of respondents believe that the use of dynamic content generated by large language models (LLMs) has made phishing detection significantly more difficult, raising new concerns around AI-fueled social engineering.

• As concerns around data security intensify, 63% of organizations have implemented restrictions on the type of data that can be input into generative AI tools, while 27% have taken a stricter stance by banning GenAI applications entirely. (Cisco)

• 55% of data leaders identify the inadvertent exposure of sensitive information by large language models (LLMs) as one of the most serious threats in today’s AI landscape.
• 57% report a significant surge in AI-powered attacks over the past year—highlighting the dual challenge of protecting data while combating increasingly intelligent threats.

• In a recent survey, 36% of respondents ranked AI-powered attacks as their top cybersecurity concern, reflecting growing anxiety over the offensive use of generative technologies.
• 51% of IT decision-makers believe that a major cyberattack will be publicly attributed to ChatGPT or similar AI tools within the next year.
• 51% of IT professionals believe that successful cyberattacks in 2024 could be attributed to ChatGPT or similar AI tools.
• 53% of IT professionals identify the biggest concern with ChatGPT as its ability to help cybercriminals craft more convincing and legally sound phishing messages.
• 71% of IT professionals suspect that nation-states may already be leveraging ChatGPT for hacking and phishing operations targeting other countries.
• 43% of cybersecurity experts have observed a rise in machine-driven cyberattacks, reflecting a growing trend in AI-powered threats.

• 36% of respondents said they haven’t used AI or ML for cybersecurity yet, but are now seriously exploring generative AI tools.
• 37% of data leaders report having a comprehensive strategy in place to stay compliant with current and emerging AI regulations and data security demands.
• 71% of organizations have already taken proactive steps to reduce risks associated with AI adoption.

• As per McKinsey report, 65% of respondents say their organizations regularly use generative AI—nearly double the figure from a survey conducted just ten months earlier.

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Technological Advancements

With the rapid evolution of AI technology, its integration into existing workflows is expected to significantly enhance operational efficiency and reduce costs. Rather than replacing cybersecurity professionals, AI is increasingly seen as a powerful ally, augmenting human expertise, automating routine tasks, and enabling faster, smarter decision-making in threat detection and response.

• In a recent survey by CSA, only 12% of professionals reported facing no challenges in threat investigation and response, emphasizing the need for tools like AI to support and enhance these critical security functions.
• Just 12% of security professionals believe AI will completely replace their jobs, while the majority see it as a way to augment their skills, assist in their roles, or automate routine tasks, freeing them to focus on higher-level responsibilities.

• Organizations are applying AI across various cybersecurity use cases, with the top areas being rule creation (21%), attack simulation (19%), and compliance violation detection (19%).

Data leaders are increasingly interested in AI's potential as a data security enabler. According to respondents, some of the key advantages of using AI in data security operations include:

1. Anomaly detection (14%)
2. Security app development (14%)
3. Phishing attack identification (13%)
4. Security awareness training (13%)

• Two-thirds of organizations now utilize AI and automation in their Security Operations Centers (SOCs)—a 10% increase compared to the previous year.
• Organizations without AI and automation in their security stack face an average breach cost of $5.72 million, while those with extensive AI adoption report significantly lower costs, averaging $3.84 million—a savings of $1.88 million.
• Defensive AI is anticipated to have a major impact across cloud, data, and network security, enhancing protection and response capabilities across digital environments.

• 71% of security stakeholders express confidence in AI-powered security tools, believing they are more effective at blocking AI-driven threats than traditional solutions.
• 69% of enterprise executives agree that AI will be essential for responding to cyberattacks, underlining its growing strategic importance. In the telecom sector, a notable 80% of companies are relying on AI to detect threats and prevent attacks, reflecting industry-specific confidence in AI’s defensive capabilities. (Capgemini Research Institute)
• As per Gartner, by 2028, the use of multi-agent AI in threat detection and incident response is projected to grow from 5% to 70% of AI applications—primarily designed to assist cybersecurity teams, not replace them.

• Through 2025, the rise of generative AI is expected to drive a 15%+ increase in application and data security spending, as organizations invest more resources to secure AI systems.
• By 2026, 40% of development teams are projected to routinely use AI-powered auto-remediation tools from Application Security Testing (AST) vendors—up from less than 5% in 2023.

AI Phishing Statistics

• 40% of phishing emails targeting businesses are now generated by AI.
• Harvard Business Review suggests that 60% of recipients fall victim to AI-generated phishing emails, a rate comparable to traditional phishing attacks.
• Using large language models (LLMs), spammers can reduce campaign costs by 95% when creating phishing emails.
• As per IBM, the average cost of a phishing-related breach is $4.88 million.

AI Deepfake Statistics

• 61% of organizations reported an increase in deepfake attacks over the past year. (Deep Instinct)
• Deepfake attacks are expected to grow by 50% to 60% in 2024, with 140,000 to 150,000 incidents worldwide.
• 75% of deepfake attacks involve impersonation of a CEO or other C-suite executives. (Deep Instinct)
• Generative AI is projected to increase losses from deepfakes and related attacks by 32%, reaching $40 billion annually by 2027. (Deloitte)
• Impersonation scams led to $12.5 billion in losses nationally in 2023. (Federal Bureau of Investigation)

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AI Ransomware Statistics

• 48% of security professionals believe AI will drive future ransomware attacks. (Netacea)
• The average cost of a ransomware attack on companies is $4.45 million. (IBM)
• Ransomware attacks increased by 13 times in the first half of 2023 as a share of total malware detections. (Fortinet)

Cybersecurity Risks

• 60% of IT professionals feel their organizations are unprepared to defend against AI-generated threats. (Darktrace)
• While 79% of IT security executives report taking steps to mitigate AI risks, only 54% of hands-on practitioners share that confidence. (Darktrace)
• 41% of organizations still rely on endpoint detection and response (EDR) to stop AI-driven attacks. (Deep Instinct)
• Prior research indicates that over 50% of organizations find EDR solutions ineffective against emerging threats.
• Despite these limitations, 31% of organizations plan to increase investment in EDR solutions. (Deep Instinct)

AI-powered Cybersecurity Prevention Tools

A promising trend from the 2025 research shows that, despite adoption challenges, an increasing number of organizations believe AI is enhancing their security posture.

Specifically, AI is helping organizations better prioritize threats and vulnerabilities (56%, up from 50%), boost the efficiency of their Security Operations Center (SOC) teams (51%, up from 43%), and accelerate the speed of threat analysis (43%, up from 36%).

• Key barriers limiting the effectiveness of AI-based security technologies include interoperability issues (63%, up from 60%), challenges in applying AI-based controls enterprise-wide (59%, slightly down from 61%), and difficulties in creating a unified view of AI users across the organization (56%, down from 58%).
• A notable trend is the growing reliance on legacy IT environments, which has risen from 36% to 45%. Additionally, 70% of respondents report that integrating AI-based security tools with legacy systems remains a significant challenge.

The average IT security budget for 2025 is $36.8 million, with approximately 21% ($7.9 million) dedicated specifically to AI and machine learning investments.

More organizations are assessing AI’s effectiveness by measuring their SOC teams’ improved ability to detect and respond to threats, rising from 52% to 61% of respondents.

As shown, Looka and ChatGPT are the most frequently used tools, with 36% and 34% of respondents reporting usage, respectively.

To evaluate the effectiveness of AI-powered cybersecurity solutions, organizations track improved response times (45%), reduction in alerts within a given period (37%), and cost reduction (36%).

More organizations are adopting a unified approach to managing both AI and privacy security risks, increasing from 37% to 52% of respondents.

• 70% of cybersecurity professionals say AI is highly effective at detecting threats that would have previously gone unnoticed.
• 73% of cybersecurity teams want to shift their focus toward an AI-powered preventive strategy.
• 53% of security teams report their organization is still in the early stages of adopting AI cybersecurity tools.
• 65% of security teams face challenges integrating AI solutions with legacy systems.
• Only 18% of security teams say their organization has fully adopted and implemented AI cybersecurity tools.
• 63% of cybersecurity professionals primarily use AI to create rules based on known security patterns and indicators.
• 50% of organizations use AI to address cybersecurity skills gaps.
• Only 15% of stakeholders believe that non-AI cybersecurity tools are effective at detecting and stopping AI-generated threats.

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Conclusion

We must accept that the future of consumer cybersecurity lies in adopting AI, especially when addressing the potential threats and cyber-attacks posed by social engineering and IoT malware. With AI at its core, cybersecurity is entering a new era—defined by faster response times, adaptive defenses, and unprecedented threat detection and mitigation levels.

AI-powered prevention tools are enhancing detection, accelerating response times, reducing false positives, and saving millions in operation costs. Adoption is rapidly becoming universal across industries, driven by executive backing and recognition of AI’s vital role. Still, challenges remain in fully integrating AI within legacy systems and scaling adoption effectively.

AI in cybersecurity brings both opportunity and risk—but with ZeroThreat, you don’t have to choose between innovation and security.

As organizations seek to balance the promise and pitfalls of AI and ML in application protection, ZeroThreat helps you navigate this evolving landscape with precision. By combining advanced automation, near-zero false positives, and real-time defense, we empower security teams to embrace the future of AI with confidence.