
Trend Micro predicts rise of deepfake-powered malicious digital twins
The report highlights a surge in AI-powered attacks and the emergence of hyper-personalised, deepfake-driven threats.
As cybercrime is projected to cost over $10 trillion in 2025, consumer data is expected to be a prime target, fuelling the underground economy. Criminals are anticipated to continue evolving their tactics to exploit vulnerabilities, with AI accelerating these efforts to enhance, speed up, and improve malicious operations, particularly through social engineering schemes that prey on user vulnerabilities.
Trend Micro predicts the emergence of malicious 'digital twins,' leveraging leaked personal information to create AI models mimicking individuals' behaviours. When paired with deepfake video/audio and compromised biometric data, these twins could drive advanced social engineering scams, such as business email compromise (BEC), fake employee schemes, and large-scale misinformation campaigns.
The 2025 Trend Micro Security Predictions report underscores Trend Micro's strong commitment to cybersecurity. This dedication is further evidenced in the Trend Micro Mid-Year Cybersecurity Report for H1 2024, which details how the company's sophisticated solutions successfully detected and blocked over 188 million threats in the MENA region.
'Cybersecurity in an AI-driven world demands foresight and expertise', said Tarek Jammoul, North Gulf & Levant Country Director, Trend Micro. 'Our deep understanding of emerging threats enabled us to craft the 2024 Security Predictions Report, equipping businesses with the insights needed to face the future with confidence. This same expertise powers our cutting-edge solutions, which detected and blocked over 4.9 million threats in Kuwait alone during H1 2024, reaffirming our commitment to securing the region's digital future'.
The 2025 Security Predictions Report also highlights critical areas of concern, including vulnerabilities like memory corruption bugs, API exploits, and legacy issues such as cross-site scripting and SQL injections, as well as the cascading risks from vulnerabilities in widely adopted systems like connected vehicle ECUs. In ransomware, threat actors are expected to outpace endpoint detection and response (EDR) advancements by exploiting under-protected environments such as cloud systems, IoT, and edge devices, while using techniques like disabling security tools, and disguising harmful codes. These developments signal the rise of faster, stealthier, and more sophisticated attack chains, underscoring the need for robust, proactive security strategies.
Image Credit: Trend Micro
Hashtags

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles


Channel Post MEA
16 hours ago
- Channel Post MEA
Trend Micro Unveils New Cyber Resilience Model
Trend Micro has unveiled a new cyber resilience model that reinvents how enterprises approach proactive security. Trend's Digital Twin capabilities will empower enterprises to simulate real-world cyber threats, validate their defenses, and adapt policies in real time across complex and diverse digital environments. Bartley Richardson , Senior Engineering Director, Agentic AI at NVIDIA: 'In today's rapidly evolving cybersecurity landscape, organizations need proactive solutions that can anticipate and counter potential threats before they occur. Powered by NVIDIA NIM microservices, Trend's cybersecurity digital twins bring AI-driven protection to enterprise infrastructure.' At the core of this model is Trend's advanced agentic AI and industry-first application of cybersecurity digital twin technology. By creating high-fidelity, continuously updated simulation of an organization's infrastructure, Trend enables security teams to visualize risk, test scenarios safely, and make rapid, data-driven decisions that improve resilience and reduce business disruptions. The shift from periodic assessments to continuous, intelligent simulation marks a major evolution in proactive cybersecurity. It allows organizations to stay ahead of adversaries, harden their environments to circumvent cybersecurity threats, and confidently secure mission-critical operations against an ever-changing threat landscape. The technology shifts security practices from static and reactive to dynamic and predictive, enabling measurable improvements across a range of critical use cases. Stuart Samples , Chief Technology Officer at Northeast Georgia Health System: 'Trend's digital twin approach completely changes our ability to understand risk in real-time. It helps us catch threats we didn't even know to look for, allowing our team to focus less on firefighting and more on confidently driving innovation.' Trend's cybersecurity Digital Twin technology is powered by NVIDIA accelerated computing and NVIDIA AI Enterprise software, including NVIDIA NIM microservices. This enterprise-grade software enables the delivery of agentic AI models, optimized inference, and secure, scalable deployment—combining the simplicity of APIs with the flexibility of self-hosted infrastructure to strengthen cybersecurity outcomes with AI-driven precision. Trend's Digital Twin model will help organizations proactively manage risk across their entire infrastructure—from on-prem to cloud, IT to OT, and legacy to next gen AI-powered systems. It comes as governments and industry leaders accelerate AI infrastructure investments. Trend's approach to digital twins enables customers to make better informed risk decisions and enhance security operations across their organization. Scenario planning: AI agents simulate threats and tactics within the Digital Twin, long before a real-world incident occurs. This helps to test current mitigation strategies in a continuous cycle, to improve resilience planning for sensitive and complex environments. Security investments: Decision makers can introduce new tools, policies, or architectural changes to see how they perform in the virtual environment. This results in better informed, data-driven investment decisions. Business resilience optimization: Digital Twin technology can be used to simulate business-critical failure scenarios to highlight how data flows, how decisions are made, and how disruptions ripple across IT/OT systems and teams. These real-time risk insights boost enterprise security planning capabilities without risking disruption to production systems. Frank Dickson , Group Vice President, Security & Trust at IDC: 'As threats migrate to OT, proactive security is critical. Trend Micro's Digital Twin technology introduces a new operational model for enterprise cyber security: simulation. Sometimes even probing a production network can result in downtime, often making it extremely difficult to expose vulnerabilities and confirm compensating measures. A continuous cycle of adversary simulation and defensive validation becomes a value tool to ensure that organizations stay ahead of cyber threats, while being sensitive to the fragility of some operational environments.' The announcement is the latest in a line of innovation-led projects from Trend designed to help network defenders harness AI, close skill gaps, and improve security outcomes. Most recently, Trend announced it would open source its Trend Cybertron AI model and agent framework in a bid to accelerate the development of autonomous cybersecurity agents. Its work has also expanded to cover protection for GenAI workloads and advances to sovereign AI infrastructure. Rachel Jin , Chief Enterprise Platform Officer at Trend: 'Enterprises are struggling to defend complex, dynamic infrastructure environments from highly adaptive, AI-powered adversaries. Rapid shifts in threat actor tactics and IT infrastructure mean reactive, point-in-time risk assessments are no longer fit for purpose. Our Digital Twin technology empowers customers to simulate threats and safely validate security controls without touching production systems—to finally close the gap between digital transformation and defensive readiness.'


Channel Post MEA
4 days ago
- Channel Post MEA
Trend Micro & Google Cloud To Advance AI-Security and Sovereign Cloud
Trend Micro has announced the expansion of its strategic alliance with Google Cloud. The partnership brings together deep cybersecurity expertise and leading cloud innovation to secure the connected world through a multi-cloud, AI-first environment, supporting sovereignty requirements, enhancing consumer and enterprise protection, and building digital trust at scale. Karan Bajwa, President, Google Cloud Asia Pacific: 'Our long-time partnership with Trend Micro underscores our shared commitment to enterprise-grade security. By seamlessly extending Google Cloud's native security with Trend Micro's specialized defenses, we empower organizations to accelerate their cloud transformation journeys. This enables them to innovate securely and scale confidently in a dynamic AI era.' Kevin Simzer, COO of Trend Micro: 'Among hyperscalers, we've seen Google Cloud accelerate as the most in tune with real-world demands, standing out not only for its cloud infrastructure but also for its leadership across AI, data analytics and multiple other domains. Google Cloud's hybrid and multi-cloud approach—seamlessly supporting both public and private cloud models—reflects the growing enterprise demand for flexibility.' Trend and Google Cloud are introducing key innovations addressing real-world demands, including: Delivering Enterprise AI Security with Google Cloud : Trend Vision One Sovereign and Private Cloud has been certified for Google Cloud Assured Workloads . Trend provides enterprises with the flexibility to secure critical workloads on Google Cloud's public, hybrid, and even air-gapped on-premise cloud environments. This provides enterprises with the flexibility to secure critical workloads while maintaining control over their most sensitive data. Critically, this also enables organizations in highly regulated and emerging markets to optimize security, compliance, and data sovereignty needs while accelerating their digital transformation. : . Trend provides enterprises with the flexibility to secure critical workloads on Google Cloud's public, hybrid, and even cloud environments. This provides enterprises with the flexibility to secure critical workloads while maintaining control over their most sensitive data. Critically, this also enables organizations in highly regulated and emerging markets to optimize security, compliance, and data sovereignty needs while accelerating their digital transformation. Access via the Google Cloud Marketplace : Trend solutions including Trend Vision One and Trend Vision One Sovereign and Private Cloud are now available on the Google Cloud Marketplace, enabling enterprises to streamline deployment and management in cloud environments. : Trend solutions including Trend Vision One and Trend Vision One Sovereign and Private Cloud are now available on the Google Cloud Marketplace, enabling enterprises to streamline deployment and management in cloud environments. Continued expansion on the Google Workspace Marketplace : To date, Trend has seen over 4 million downloads of Trend Micro Cloud App Security on the Google Workspace Marketplace for enterprise-wide deployments. : To date, Trend has seen over 4 million downloads of on the Google Workspace Marketplace for enterprise-wide deployments. Fighting online scams with AI: Trend is working with Google Cloud to pursue areas of collaboration to protect millions of consumers from the $1 trillion+ losses to online scams, as evidenced by Trend Micro ScamCheck . ScamCheck is the first anti-scam app of its kind, and it now utilizes Gemini models through Vertex AI for some of its most innovative capabilities. This includes the ability to verify images and SMS content that scammers may be using to target users.


Arabian Post
24-07-2025
- Arabian Post
Oil Demand Peaks in Summer, Not Winter
Arabian Post Staff -Dubai Global oil consumption has shifted, with demand now peaking in the third quarter instead of the traditional fourth, signalling a structural change reshaping markets during the summer months. Analysts point to stronger consumption from Asia—particularly China and India—alongside diminished heating fuel use in advanced economies as key drivers behind this trend, which carries significant implications for trading patterns, strategic reserves and pricing dynamics. Industry data show that consumption of heating oil and kerosene in wealthy nations has declined steadily. In the US, fewer households rely on refined petroleum for heating—dropping from 17 % in 1990 to just 9 % today—while Europe has seen even steeper falls. Conversely, jet fuel use during Northern Hemisphere summers has grown, especially as holiday travel resumes. This has pushed demand peaks into July–September, reversing a long-standing seasonal rhythm. Fuel consumption patterns in emerging economies present a stark contrast. Many countries, including those closer to the equator, rely on oil year-round for industrial power, electricity generation, and water desalination. Saudi Arabia, for instance, burned over 800,000 barrels per day of crude in just one summer to power air conditioning—a volume comparable to Belgium's entire daily petroleum demand. ADVERTISEMENT Climate change compounds the shift. Milder winters reduce heating demand, while hotter summers elevate energy needs for cooling and travel. In 2025 so far, global oil consumption in the third quarter is projected to exceed fourth-quarter levels by approximately 500,000 barrels per day—the fifth recorded year this has happened since 1991. This transformation carries consequences for market tightness and pricing. Although OPEC+ and rising non‑OPEC output have attempted to balance supply, physical markets appear increasingly tight during summer months. In mid-July, Brent crude hovered in the mid‑US$60s, reflecting supply constraints despite softening from spring lows. Speculative traders, noting robust seasonal demand, have also increased their net long positions in Brent and gasoil contracts. Asia's role has been pivotal. China ramped refinery runs to over 80 % of capacity in June—the highest levels in five years—as stockpiling alongside consumption drove strong throughput. Meanwhile, Asia's crude imports rose by around 510,000 bpd in the first half of 2025, underscoring the region's impact. Despite cautious forecasts from the IEA and OPEC—projecting crude demand growth of 700,000 bpd and 1.29 million bpd respectively—actual refinery intake and imports suggest potential underestimation. India's fuel consumption trends provide further insights. June data from the Petroleum Planning and Analysis Cell show fuel demand was 20.31 million tonnes—down 4.7 % from May but up 1.9 % year-on-year—reflecting monsoon-related dips typical through August and September. Diesel usage, especially linked to industry and logistics, is a key part of India's expanding consumption profile. OPEC+ has responded to these dynamics. In August, the alliance approved production increases of roughly 548,000 bpd aiming to satisfy peak Q3 demand. Simultaneously, US shale output remains robust; American producers reported nearly 13.5 million bpd in April, although well completion rates have slowed, reflecting the dependency on prices. Nevertheless, the market outlook grows more uncertain as it heads into fourth quarter. The EIA forecasts OECD inventories will build to 62 days' worth of supply in the second half of 2025—rising further to 66 days by end-2026—signalling a potential surplus as summer demand wanes. EIA projections for 2026 also expect US production to decline, with WTI prices retreating toward US$53 per barrel. Pricing reflects this shift. Oil markets have shown summer tightness in 2025, but expectations for a Q4 surplus weigh on medium-term prices. The IEA forecasts refinery throughput will drop from a projected August peak of 85.4 million bpd to about 81.7 million bpd by October, implying weaker demand later in the year. The shift in seasonality thus becomes a critical market pivot. Traders, refiners and producers must recalibrate strategies around production schedules, storage cycles and investment decisions. Q3 now demands heightened vigilance—from physical balancing to hedging strategies—while Q4 may require reassessment of storage utilisation and pricing risk.