AI Security Trends 2025: Market Overview & Statistics | Lakera – Protecting AI teams that disrupt the world.

AI Security Trends 2025: Market Overview & Statistics

AI Security

10 min read
September 2, 2025

Currently, 49% of firms use tools like ChatGPT across departments, from IT and marketing to finance and customer service (masterofcode).

However, as businesses rely more on AI, they must carefully manage the security risks that come with it. Compliance, privacy, and ethics have always been essential for companies, but these challenges have compounded with generative AI.

AI technology may be paradoxical due to its binary security considerations. For instance, 93% of security professionals say that AI can ensure cybersecurity, but at the same time, 77% of organizations find themselves unprepared to defend against AI threats (Wifitalents).

According to Immuta’s 2024 State of Data Security Report, 80% of data experts agree that AI is making data security more challenging.

So, how are companies incorporating AI security into their operations? What are the security concerns, and how are businesses preparing to overcome them?

Let’s see the latest AI security trends to find answers to these questions!

Get a data-driven look at how teams are securing GenAI systems today. This report reveals where companies are investing, what’s keeping security leaders up at night, and how prepared the market really is.

The Lakera team has accelerated Dropbox’s GenAI journey.

“Dropbox uses Lakera Guard as a security solution to help safeguard our LLM-powered applications, secure and protect user data, and uphold the reliability and trustworthiness of our intelligent features.”

If you’re tracking how GenAI security is evolving, these reads offer deeper insights into specific threats and defensive approaches:

Artificial intelligence (AI) has become a core part of business operations.

Latest AI Security Trends

As AI adoption accelerates across industries, so do the threats against businesses, disrupting conventional security posture and readiness. Some driving factors include generative AI, AI-powered malware, evolving regulations, etc. Here, we will discuss the rapid shifts in AI security, from the searching market valuations to the emerging security concerns over adoption and regulation.

1. Market Overview

The stats mentioned below illustrate the overall size of AI in cybersecurity. The market is growing rapidly due to the high velocity, increased sophistication, sheer volume of cyber threats, and the benefits of AI-powered solutions.

Image source: Statista

2. Security Concerns

Even as investments in AI explode, it is widely accepted that defensive AI will enhance cybersecurity. While there are reasonable grounds to believe AI can improve the security of cyber systems, there's also a clear understanding of the risks and challenges it brings.

When asked about the biggest concerns regarding AI in security in a survey, respondents expressed the following concerns: (CSA)

Image source: CSA

Confidence levels in current security measures are low, with only 5% of respondents rating their confidence at five out of five.

There is uncertainty about the effectiveness of existing security approaches in protecting against sophisticated AI attacks, with 86% having moderate or low confidence levels. (Lakera)

Nearly 50% of respondents to a 2023 survey among global business and cyber leaders highlighted the advance of adversarial capabilities, such as phishing, malware development, and deepfakes, as their greatest concern regarding the impact of generative artificial intelligence (AI) on cybersecurity. (Statista)

Image source: CSA

Image source: Cisco

Image source: Cisco

3. Adoption and Regulation

Organizations are at various stages of GenAI, in particular, LLM adoption. 42% actively use and implement LLMs across various functions, indicating a significant commitment to leveraging AI capabilities for business innovation and growth.

Another 45% are exploring use cases and integration possibilities, reflecting a high level of interest and recognition of GenAI’s potential value.

Only 9% have yet to make plans to adopt LLMs, suggesting strong industry-wide momentum towards AI adoption and highlighting the competitive risk for organizations not embracing these technologies. (Lakera)

Image source: PWC

Image source: PWC

Image source: DarkTrace

4. Technological Developments

With fast-paced advancements in AI technology, its integration into the existing workflows will improve operational efficiency and reduce costs. Moreover, AI is viewed as a tool that complements the work of security professionals, not as something that will replace them.

In a survey, most professionals admitted they face challenges in threat investigation and response, with only 12% saying they have no difficulties in this area. This highlights AI's role in empowering professionals in tasks such as threat detection, incident response, etc., rather than replacing them. (CSA)

Only 12% of security professionals in that survey think AI will fully take over their jobs. At the same time, the majority believe it will either improve their skills, support their role, or take over significant parts of their tasks, allowing them to focus on other responsibilities. (CSA)

Image source: CSA

Image source: Splunk

Image source: DarkTrace

Gartner predicts that AI will positively disrupt cybersecurity in the long term and create many short-term disillusions. Security and risk management leaders must accept that 2023 was only the start of generative AI and prepare for its evolutions. (Gartner)

AI is a paradigm shift transforming how a society functions. It is an enduring and natural consequence of technological advancement. In recognition of this, most technology executives are focused on experimenting with AI-based technologies. In fact, 9 out of 10 are focusing on platforms such as ChatGPT, Bing Chat, and OpenAI. Additionally, 80% of tech leaders plan to boost their AI investments over the next year. (EY)

Key Takeaways

The state of AI security in 2024 seems to be a bit of a contradiction—global in nature and requiring coordinated efforts. With strict compliance needs, rising geopolitical tensions, and increasingly complex threats, increasing international cooperation is essential to ensuring global business and cybersecurity.

Many organizations find cybersecurity easier to handle now than in previous years. They’re working together better, detecting threats more quickly, and generally have the necessary tools and support.

However, with technology changing so quickly, organizations may find it challenging to decide where to put their focus. While GenAI is widely used in business and within security teams, those who resist might fall behind.

Ignoring generative AI could hinder innovation and lead to the rise of unregulated shadow AI. Instead, develop smart policies for using generative AI that don’t obstruct progress. Moreover, don’t rush into adopting it without understanding the risks.

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