Zscaler Finds Enterprise Use of AI/ML Tools Skyrocketed Nearly 600% Over the Last Year, Putting Enterprises at Risk
Zscaler, Inc. released its 2024 AI Security Report, revealing a 600% increase in AI transactions from April 2023 to January 2024. The report highlights manufacturing as the top industry in AI traffic, with the US leading in enterprise AI tool usage. ChatGPT is the most popular AI application, and Zscaler emphasizes the need for improved data security in the AI landscape.
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600% growth in AI/ML transactions from April 2023 to January 2024
Manufacturing leads in AI transactions, followed by Finance and Insurance
ChatGPT is the top GenAI application for enterprises
The US leads in enterprise AI tool usage globally
Zscaler stresses the importance of data security in the AI landscape
The exponential growth in enterprise AI transactions highlighted by the ThreatLabz report underscores the escalating reliance on AI tools within various industries, particularly manufacturing, finance and services. This trend is indicative of the broader digital transformation that is reshaping business operations, driving efficiency and fostering innovation.
However, the adoption of AI also amplifies the attack surface for cyber threats, necessitating advanced security measures. The report's emphasis on the need for Zero Trust security models is a testament to the evolving cybersecurity landscape where traditional perimeter-based defenses are no longer sufficient. Enterprises must adopt a data-centric approach to security, ensuring that each transaction is verified and secure, irrespective of its origin.
Furthermore, the report's findings on the geographical distribution of AI transactions reflect differing regional approaches to technology adoption and regulation. The US leading in AI transactions may be a reflection of its robust tech industry and regulatory environment conducive to AI development. In contrast, the high volume of transactions in India suggests a strategic emphasis on technology as a driver of economic growth.
The 569 TB of data shared with AI tools, as reported by ThreatLabz, raises significant concerns regarding data privacy and the protection of sensitive information. The integration of AI into business processes must be accompanied by robust data governance policies to prevent unauthorized access and data breaches.
Particular attention should be paid to the types of data being processed by AI tools, as they often include proprietary business information or personal data protected under various global privacy regulations, such as GDPR or CCPA. The report's call for better data security is a important reminder that as the volume of data increases, so does the responsibility of enterprises to safeguard it against both internal and external threats.
It is imperative for organizations to not only secure their data but also to ensure compliance with data protection laws, which can vary significantly across different regions. The need for international cooperation in establishing standards for AI data security is evident, as AI tools often operate across borders, complicating the regulatory landscape.
The prominence of ChatGPT and other AI applications in enterprise transactions reflects the rapidly advancing field of generative AI and its integration into business workflows. The report indicates that enterprises are not only adopting these tools but are doing so at a scale that suggests a transformative impact on how businesses operate.
Generative AI's ability to create content, automate interactions and enhance decision-making is revolutionizing industries. However, this also introduces new challenges, such as ensuring the integrity of the data fed into these systems and guarding against the risks of data poisoning and AI-generated misinformation.
The report's findings on the sector-specific adoption of AI tools provide valuable insights into how different industries are leveraging AI to gain a competitive edge. For instance, manufacturing's use of AI for predictive maintenance and supply chain optimization is a clear example of AI's potential to create significant efficiencies and cost savings.
03/27/2024 - 03:01 AM
ThreatLabz AI Report Reveals Enterprises Sharing 569 TB of Data to AI Tools, Stressing the Need for Better Data Security
Enterprise AI/ML transactions increased from 521 million monthly in April 2023 to 3.1 billion monthly by January 2024.Manufacturing generates the most AI traffic, totaling 21% of all AI transactions in the Zscaler security cloud , followed by Finance and Insurance (20% ) and Services (17% ).The most popular AI/ML applications for enterprises by transaction volume are ChatGPT, Drift, OpenAI, Writer, and LivePerson.The top five countries generating the most enterprise AI transactions are the US, India, the UK, Australia, and Japan.SAN JOSE, Calif., March 27, 2024 (GLOBE NEWSWIRE) -- Zscaler, Inc.
AI has already become a part of business as usual, as enterprises leverage and integrate new features and tools into their day-to-day workflows, multiplying the volume of transactions and data generated. The much higher volume is reflected in the nearly 600% increase in transactions as well as the 569 terabytes of enterprise data sent to AI tools that ThreatLabz analyzed between September 2023 and January 2024.
“Data is the lifeblood of every enterprise and the gold of this new era in the AI revolution,” said Deepen Desai, Chief Security Officer, Zscaler. “With the visibility provided by the Zscaler Zero Trust Exchange’s nearly 500 trillion daily signals combined with Avalor* Data Fabric, we believe Zscaler is uniquely positioned to fight AI with AI and improve Zero Trust security across the enterprise.”
AI transactions grow exponentially
From April 2023 to January 2024, ThreatLabz saw AI/ML transactions grow by nearly 600% , rising to more than 3 billion monthly across the Zero Trust Exchange platform in January. Despite the mounting security risk and increasing number of data protection incidents, enterprises are adopting AI tools in large numbers.
Manufacturers responsible for more than 20% of enterprise AI/ML transactions
Manufacturing was found to be the industry leader in AI transactions across the Zero Trust Exchange platform, driving nearly 20% of the total volume. From analyzing vast amounts of data from machinery and sensors to preemptively detect equipment failures to optimizing supply chain management, inventory, and logistics operations, AI is proving instrumental to manufacturers. The other notable verticals that comprise the top five are finance and insurance (17% ), technology (14% ), services sectors (13% ), and retail/wholesale (5% ).
ChatGPT leads the way as the most popular GenAI application
Research shows that ChatGPT accounted for more than half of all enterprise AI transactions (52% ), while the OpenAI application itself ranked third (8% ). Drift, the popular AI-powered chatbot, generated nearly 20% of enterprise traffic, while LivePerson and BoldChat also made the list. Writer was the favorite GenAI tool for creating written enterprise content.
The United States leads the way in enterprise AI tools usage
AI adoption trends differ globally as regulations, requirements, technology infrastructure, cultural considerations, and other factors play key roles. At 40% , the US produces the highest percentage of enterprise AI transactions globally. India was second at 16% , propelled by the country’s accelerated commitment to driving innovation.
Although the UK's share of global enterprise AI transactions is only 5.5% , it leads enterprise AI traffic in EMEA with over 20% . France (13% ) and Germany (12% ), as expected, follow closely behind as the second and third largest enterprise AI traffic generators in EMEA. However, the United Arab Emirates is a rapidly growing technological innovator in the region that has also emerged as a prominent AI adopter.
In the APAC region, ThreatLabz discovered a staggering increase of nearly 1.3 billion (135% ) more enterprise AI transactions compared to EMEA. This surge can likely be attributed to India’s extensive usage and adoption of AI tools for conducting business across the tech sector, and it may suggest a higher concentration of tech jobs, stronger willingness to adopt new innovations, and fewer barriers to usage.
AI empowered threat actors amplify enterprise risk and security challenges
As the power of AI has advanced, it has become a double-edged sword for enterprises. While AI offers immense potential for innovation and efficiency, it also brings forth a new set of risks that organizations must grapple with–namely, risks associated with leveraging GenAI tools within the enterprise and an evolving landscape of AI-assisted threats.
The utilization of GenAI tools within enterprises introduces significant risks that can be categorized into three main areas:
Protection of intellectual property and non-public information: the risk of data leakage AI application data privacy and security risks: including an expanded attack surface, new threat delivery vectors, and increased supply chain risk Data quality concerns: the concept of "garbage in, garbage out" and the potential for data poisoning Simultaneously, enterprises are constantly exposed to a barrage of cyberthreats, some of which are now AI-driven. The possibilities of AI-assisted threats are virtually limitless, as attackers can leverage AI to orchestrate sophisticated phishing and social engineering campaigns, develop highly evasive malware and ransomware, exploit vulnerabilities in enterprise attack surfaces, and amplify attacks' speed, scale, and diversity. To address this challenge, enterprises and cybersecurity leaders must effectively navigate the rapidly evolving AI landscape to harness its revolutionary potential while also mitigating the risks and defending against AI-powered attacks.
Enabling secure enterprise AI adoption with Zscaler
Zscaler is at the forefront of empowering enterprises to embrace the potential of AI applications while ensuring the safety of their data and maintaining an environment that’s secure against emerging channels for exfiltration. With the Zero Trust Exchange platform, Zscaler provides the comprehensive set of tools necessary for this transformative journey, encompassing four critical capabilities:
Full visibility into AI tool usage Granular access policy creation for AI Granular data security for AI applications Powerful controls with browser isolation By leveraging Zscaler’s Zero Trust security controls, enterprises can confidently embrace their AI transformation, fully harnessing the potential of generative AI while ensuring the highest level of security. They will gain the necessary tools to protect their business from AI-driven threats while benefiting from Zscaler’s fine-tuned AI policies and robust data protections.
Download the full version of the 2024 AI Security Report
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What was the percentage increase in AI/ML transactions from April 2023 to January 2024?
AI/ML transactions grew by nearly 600% during that period.
Which industry drives the most AI transactions across the Zscaler security cloud?
Manufacturing leads in AI transactions, accounting for over 20% of the total volume.
What is the most popular GenAI application for enterprises according to the report?
ChatGPT is the most popular GenAI application, representing over half of all enterprise AI transactions.
Which country produces the highest percentage of enterprise AI transactions globally?
The US leads with 40% of enterprise AI transactions globally.
What does Zscaler emphasize in the AI Security Report regarding enterprise AI tools?
Zscaler stresses the need for improved data security in the AI landscape.
