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AI on the Frontline: Global Firms Back Innovation, Brace for New Cyber Threats

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Trend Micro (TMICY), a global AI cybersecurity leader, has released new research highlighting both the widespread adoption and growing concerns surrounding AI in cybersecurity. The study reveals that 81% of global businesses are currently using AI-driven cybersecurity tools, with an additional 16% exploring implementation.

The research indicates that 94% of businesses anticipate AI will negatively impact their cyber risk exposure in the next three to five years. At Trend's Pwn2Own event in Berlin, seven unique zero-day vulnerabilities were discovered in major AI frameworks, including the NVIDIA Triton Inference Server, Chroma, Redis, and the NVIDIA Container Toolkit.

The study, conducted by Sapio Research, surveyed 2,250 IT and cybersecurity professionals across 21 countries in Europe, North America, and APAC, spanning multiple verticals and organization sizes.

Trend Micro (TMICY), leader globale nella cybersecurity basata sull'IA, ha pubblicato una nuova ricerca che evidenzia sia la diffusione dell'adozione sia le crescenti preoccupazioni legate all'uso dell'IA nella sicurezza informatica. Lo studio mostra che l'81% delle aziende a livello mondiale utilizza attualmente strumenti di cybersecurity basati sull'IA, mentre un ulteriore 16% sta valutando l'implementazione.

La ricerca indica che il 94% delle aziende prevede un aumento del rischio informatico dovuto all'IA nei prossimi tre-cinque anni. All'evento Pwn2Own di Trend a Berlino, sono state scoperte sette vulnerabilità zero-day uniche in importanti framework di IA, tra cui NVIDIA Triton Inference Server, Chroma, Redis e NVIDIA Container Toolkit.

Lo studio, condotto da Sapio Research, ha coinvolto 2.250 professionisti IT e della cybersecurity in 21 paesi di Europa, Nord America e APAC, coprendo diversi settori e dimensioni aziendali.

Trend Micro (TMICY), líder global en ciberseguridad con IA, ha publicado una nueva investigación que destaca tanto la amplia adopción como las crecientes preocupaciones sobre la IA en la ciberseguridad. El estudio revela que el 81% de las empresas a nivel mundial están utilizando actualmente herramientas de ciberseguridad impulsadas por IA, y un 16% adicional está explorando su implementación.

La investigación indica que el 94% de las empresas anticipa que la IA aumentará su exposición al riesgo cibernético en los próximos tres a cinco años. En el evento Pwn2Own de Trend en Berlín, se descubrieron siete vulnerabilidades zero-day únicas en importantes frameworks de IA, incluyendo NVIDIA Triton Inference Server, Chroma, Redis y NVIDIA Container Toolkit.

El estudio, realizado por Sapio Research, encuestó a 2,250 profesionales de TI y ciberseguridad en 21 países de Europa, Norteamérica y APAC, abarcando múltiples sectores y tamaños de organización.

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Trend Micro (TMICY), leader mondial de la cybersécurité basée sur l'IA, a publié une nouvelle étude mettant en lumière à la fois l'adoption généralisée et les préoccupations croissantes liées à l'IA en cybersécurité. L'étude révèle que 81 % des entreprises mondiales utilisent actuellement des outils de cybersécurité basés sur l'IA, tandis que 16 % supplémentaires envisagent leur mise en œuvre.

La recherche indique que 94 % des entreprises anticipent un impact négatif de l'IA sur leur exposition aux risques cyber dans les trois à cinq prochaines années. Lors de l'événement Pwn2Own de Trend à Berlin, sept vulnérabilités zero-day uniques ont été découvertes dans des frameworks IA majeurs, notamment NVIDIA Triton Inference Server, Chroma, Redis et NVIDIA Container Toolkit.

L'étude, menée par Sapio Research, a sondé 2 250 professionnels IT et cybersécurité dans 21 pays d'Europe, d'Amérique du Nord et de la région APAC, couvrant plusieurs secteurs et tailles d'organisation.

Trend Micro (TMICY), ein weltweit führendes Unternehmen im Bereich KI-basierte Cybersicherheit, hat neue Forschungsergebnisse veröffentlicht, die sowohl die weitverbreitete Nutzung als auch die wachsenden Bedenken hinsichtlich KI in der Cybersicherheit hervorheben. Die Studie zeigt, dass 81 % der globalen Unternehmen derzeit KI-gesteuerte Cybersicherheitswerkzeuge einsetzen, während weitere 16 % deren Implementierung prüfen.

Die Forschung zeigt, dass 94 % der Unternehmen erwarten, dass KI ihre Cyberrisiken in den nächsten drei bis fünf Jahren negativ beeinflussen wird. Bei Trends Pwn2Own-Veranstaltung in Berlin wurden sieben einzigartige Zero-Day-Schwachstellen in wichtigen KI-Frameworks entdeckt, darunter der NVIDIA Triton Inference Server, Chroma, Redis und das NVIDIA Container Toolkit.

Die Studie, durchgeführt von Sapio Research, befragte 2.250 IT- und Cybersicherheitsfachleute in 21 Ländern Europas, Nordamerikas und der APAC-Region, über verschiedene Branchen und Unternehmensgrößen hinweg.

Positive
  • 81% of global businesses already using AI-driven cybersecurity tools
  • 97% of respondents are open to using AI in some capacity
  • 42% of organizations prioritize AI and automation for cybersecurity improvement
  • Successfully identified seven zero-day vulnerabilities through Pwn2Own event
Negative
  • 94% of businesses expect negative AI impact on cyber risk exposure
  • Over half anticipate surge in scale and complexity of AI-driven attacks
  • Increased risk of sensitive data exposure and compliance challenges
  • Multiple successful exploits of major AI frameworks demonstrated at Pwn2Own

New Trend Micro research reveals widespread AI adoption in cybersecurity strategies, but mounting concerns cyber risk exposure

DALLAS, July 1, 2025 /PRNewswire/ --ÌýGlobal AI cybersecurity leaderÌýÌý(;) published new research* today revealing that while organizations are embracing artificial intelligence to strengthen their cyber defenses, many are increasingly concerned about the technology's potential to expand their attack surface and introduce new risks.

To learn more about Trend's latest research, visit: Ìý

Rachel Jin, Chief Enterprise Platform Officer at Trend: "AI holds enormous promise for strengthening cyber defenses, from identifying anomalies faster to automating time-consuming tasks. But attackers are just as eager to leverage AI for their own purposes, and that creates a rapidly shifting threat landscape. Our research and real-world testing make it clear that security must be built into AI systems from the outset. There is simply too much at stake to treat this as an afterthought."

According to the study, 81% of global businesses are already using AI-driven tools as part of their cybersecurity strategy, with a further 16% actively exploring implementation. Nearly all respondents (97%) are open to using AI in some capacity. Over half are already relying on it for essential processes such as automated asset discovery, risk prioritization and anomaly detection. AI and automation are now considered top priorities for improving cybersecurity over the next 12 months by 42% of surveyed organizations.

This optimism also comes with significant risk. An overwhelming 94% of businesses believe that AI will negatively impact their cyber risk exposure within the next three to five years. Over half expect a surge in the scale and complexity of AI-driven attacks, which they say will force them to rethink and reshape existing cybersecurity strategies. Many point to the risk of sensitive data exposure, uncertainty around how data is processed and stored by AI systems, the potential for proprietary data to be exploited by untrusted models, as well as increased compliance pressures and monitoring challenges stemming from a proliferation of new endpoints, APIs and shadow IT.

The tension between opportunity and risk was evident at Trend's Ìýin Berlin, where the AI category was introduced for the first time. The results offered a compelling snapshot of where AI security currently stands.

Twelve entries targeted four major AI frameworks, with the NVIDIA Triton Inference Server receiving the most attention. Chroma, Redis, and the NVIDIA Container Toolkit were also successfully exploited, in some cases using just a single bug to achieve full compromise. In total, seven unique zero-day vulnerabilities were uncovered in the AI frameworks. The vendors now have 90 days to patch the flaws before technical details are made public.

As AI becomes more deeply integrated in enterprise IT environments, Trend urges security leaders to proactively evaluate the evolving risk landscape and embed rigorous security practices into every stage of AI adoption.

*Trend Micro commissioned Sapio Research to interview 2250 individuals with responsibility for IT and/or cybersecurity—across multiple verticals, organization sizes and 21 countries in Europe, North America and APAC.

About Trend MicroÌý
Trend Micro, a global cybersecurity leader, helps make the world safe for exchanging digital information. Fueled by decades of security expertise, global threat research, and continuous innovation, Trend Micro's AI-powered cybersecurity platform protects hundreds of thousands of organizations and millions of individuals across clouds, networks, devices, and endpoints. As a leader in cloud and enterprise cybersecurity, Trend's platform delivers a powerful range of advanced threat defense techniques optimized for environments like AWS, Microsoft, and Google, and central visibility for better, faster detection and response. With 7,000 employees across 70 countries, Trend Micro enables organizations to simplify and secure their connected world. .

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SOURCE Trend Micro Incorporated

FAQ

What percentage of businesses are currently using AI-driven cybersecurity tools according to Trend Micro's research?

According to the research, 81% of global businesses are currently using AI-driven tools in their cybersecurity strategy, with an additional 16% actively exploring implementation.

What are the main cybersecurity risks identified in Trend Micro's AI study?

The study identified several key risks including sensitive data exposure, uncertainty in AI data processing and storage, potential exploitation of proprietary data, increased compliance pressures, and monitoring challenges from new endpoints.

How many zero-day vulnerabilities were discovered at Trend Micro's Pwn2Own event?

Seven unique zero-day vulnerabilities were discovered in AI frameworks during the event, affecting systems including NVIDIA Triton Inference Server, Chroma, Redis, and NVIDIA Container Toolkit.

What percentage of businesses expect AI to negatively impact their cyber risk exposure?

94% of businesses believe that AI will negatively impact their cyber risk exposure within the next three to five years.

How many organizations were surveyed in Trend Micro's AI cybersecurity research?

The research surveyed 2,250 IT and cybersecurity professionals across 21 countries in Europe, North America, and APAC.
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