US authorities have dismantled QTFY’s QScan and QTRouter platforms, exposing a China-linked service model that blended exploit trading, automated scanning and hijacked IoT devices to reach critical infrastructure while concealing where attacks began.
The AI race is accelerating faster than the real economy can adapt. Sam Altman concedes adoption is slower than expected, while Nvidia’s record results, Musk’s ambitions, Chinese open models and new jailbreak risks reveal an intensifying contest for compute, influence and control. Across the world.
Brazil is investing US$444 million in AI infrastructure spanning Chinese and US technology. Its strategy avoids dependence on one power, using rival suppliers to build sovereign compute, domestic models and leverage, although genuine autonomy will depend on its energy, skills and strong execution.
As 2025 begins, 2024’s AI breakthroughs stand out, but so do the cyber threats that accompanied them. From AI-powered phishing to deepfakes and cloud breaches, the year highlighted the delicate balance between innovation and security risks.
As we step into 2025, the technological advancements of 2024 remain fresh in our minds. Last year will be remembered for its extraordinary leaps in artificial intelligence (AI), which reshaped industries and society at an unprecedented pace. However, it was also a year defined by a rising tide of cyber threats. From deepfakes to sophisticated AI-driven malware and phishing attacks, 2024 highlighted the fine line between innovation and risk.
In 2024, the explosive growth of generative AI technology proved both transformative and perilous. While platforms like ChatGPT and MidJourney expanded creative possibilities and problem-solving capabilities, they simultaneously opened the door for cybercriminals to exploit these tools for malicious purposes. AI-driven cyberattacks surged, with platforms such as WormGPT and FraudGPT automating phishing schemes and malware creation, significantly increasing the scale and sophistication of online threats.
One of the most concerning developments this year was the weaponization of deepfake technology. AI-generated videos, audio clips, and images were used in disinformation campaigns, financial fraud, and even corporate extortion. The ability to create highly convincing but entirely fabricated content raised alarms about the erosion of trust in digital media. High-profile incidents, such as deepfake impersonations of political figures and business leaders, highlighted the devastating potential of this technology to deceive and manipulate public opinion.
AI’s role in spreading misinformation took a particularly insidious turn in the realm of politics. In the lead-up to elections, AI-generated deepfakes and synthetic content flooded social media, making it increasingly difficult to discern fact from fiction. Notable examples, including manipulated videos of U.S. political figures, demonstrated how easily public perception could be swayed by these tools. As the year progressed, the weaponization of AI in this manner became a significant concern, underscoring the urgent need for better detection systems and regulations to mitigate its impact on society.
The shift to cloud computing continued unabated, but with it came an alarming 75% increase in cloud breaches in 2024. Attackers leveraged AI to exploit vulnerabilities in supply chains and manipulate software dependency chains, creating a new class of attacks such as "Package Illusion." These sophisticated intrusions bypassed traditional defenses, underscoring the need for a paradigm shift in cybersecurity.
Microsoft’s Digital Defense Report 2024 highlighted the potential for generative AI to wreak havoc in cloud environments as the technology matures. While AI-generated attacks remain relatively low, the future promises more advanced tactics that will require proactive defense strategies.
In the unfolding narrative of modern cyber threats, social engineering has emerged as the ultimate confidence trick, cleverly recast for the digital age. Leveraging artificial intelligence tools capable of mimicking the subtle quirks of human communication, cybercriminals now deliver phishing lures that feel startlingly genuine. The result? Messages so finely tuned to their targets’ interests, fears, and routines that even the most vigilant recipients may be coaxed into betraying closely guarded secrets.
This narrative took an especially ominous turn as ransomware assaults skyrocketed. The rise of Ransomware-as-a-Service (RaaS) allowed relative newcomers to unleash attacks once reserved for seasoned criminal syndicates. In August 2024, CNC reported a chilling twist in a notorious storyline: the group behind last year’s ransomware siege on Dallas has rebranded itself as “BlackSuit,” leaving its past identity as “Royal” in the shadows. Today, the FBI and the Cybersecurity and Infrastructure Security Agency (CISA) confirm that these reinvented villains are now demanding over $500 million in ransom from terrified targets.
A freshly updated federal advisory lays out the sordid details behind BlackSuit’s tactics, helping defenders anticipate their every move. Investigators note ransom demands once soared to $60 million, and the group’s shift in identity was spotted as early as November. With fresh attacks under this new banner, the lesson is clear: the rules of engagement have changed.
“We’re witnessing a cybercriminal renaissance,” said CISA Director Jen Easterly. “Because of ransomware attacks, people are waking up to the idea of ‘what do I need to do to protect my family and my community?"
At the heart of this transformed landscape lies artificial intelligence. From the initial reconnaissance to the final act of exploitation, AI injects criminal campaigns with a ruthless efficiency that was once unimaginable.
Governments and corporations scrambled to respond to these growing threats. Nations like the United States and members of the European Union strengthened regulatory frameworks for AI, while Australia and Japan prioritized international cooperation to tackle cross-border cybercrime.
Tech giants like Microsoft and Google doubled down on AI-driven cybersecurity measures. Microsoft emphasized integrating AI into defense strategies, focusing on mitigating ransomware, identity theft, and fraud. Google, on the other hand, invested in predictive analytics to identify potential threats before they materialized. Despite these efforts, the sheer pace of AI-driven cyberattacks often outstripped defense mechanisms, revealing critical gaps in global preparedness.
The AI race is accelerating faster than the real economy can adapt. Sam Altman concedes adoption is slower than expected, while Nvidia’s record results, Musk’s ambitions, Chinese open models and new jailbreak risks reveal an intensifying contest for compute, influence and control. Across the world.
NVIDIA’s latest earnings have reset the AI trade. Revenue is surging, Rubin is ramping faster than expected, and Wall Street is warming again. Yet the next test is physical: can chipmakers, memory suppliers, power grids and capital markets keep pace with AI demand? as global AI demand accelerates.
Unitree’s Shanghai IPO puts a fast-growing humanoid-robot maker at the centre of China’s effort to turn embodied AI from a laboratory theme into an exportable industrial platform.
NVIDIA is asking Wall Street to underwrite AI compute as productive infrastructure. Its new financing platforms aim to mobilise more than US$500 billion, but the announced memoranda are not yet completed funding commitments.
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