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Report reveals most common types of cyber crime

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The prevalence of cybercrime has emerged as a big worry for businesses, with a myriad of illicit activities posing significant threats to individuals and organisations.

Recent reports shed light on the most common types of cybercrime, underscoring the need for heightened vigilance and robust cybersecurity measures.

Among the myriad of nefarious activities, several types of cybercrime stand out as particularly prevalent and pervasive.

Phishing emerges as a leading tactic employed by cybercriminals, involving deceptive attempts to obtain sensitive information such as login credentials and financial data through fraudulent emails, websites, or messages.

With increasingly sophisticated techniques, phishing attacks continue to target unsuspecting individuals and organizations, highlighting the importance of vigilance and skepticism when engaging with digital communications.

Ransomware, another prominent cyber threat, has garnered widespread attention for its disruptive and financially motivated nature.

This form of malware encrypts files or locks users out of their systems, demanding ransom payments in exchange for restoring access.

The report underscores the devastating impact of ransomware attacks on businesses, governments, and individuals, emphasizing the urgent need for robust cybersecurity defenses and incident response strategies.

Most common threats

Identity theft remains a pervasive concern in the digital age, with cybercriminals leveraging stolen personal information for fraudulent purposes, including financial fraud and identity fraud.

From social security numbers to credit card details, sensitive data is increasingly targeted by malicious actors seeking to exploit vulnerabilities in digital systems and processes.

Other common types of cybercrime highlighted in the report include malware, data breaches, cyberbullying, online scams, DDoS attacks, cyber espionage, and cyber stalking.

Each presents unique challenges and risks, necessitating comprehensive cybersecurity strategies to mitigate potential harm and safeguard digital assets.

As cyber threats continue to evolve in sophistication and scale, the imperative for proactive cybersecurity measures has never been greater. From robust encryption protocols to user awareness training, organisations and individuals must remain vigilant and proactive in defending against cybercrime.

By staying informed about emerging threats and implementing effective security practices, stakeholders can enhance digital resilience and mitigate the risks posed by cyber adversaries.

Ahron Young is an award winning journalist who has covered major news events around the world. Ahron is the Managing Editor and Founder of TICKER NEWS.

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OpenAI releases GPT-5.1 with enhanced conversational features

OpenAI launches GPT-5.1, enhancing ChatGPT with personality controls and improved conversational abilities for paid users

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OpenAI launches GPT-5.1, enhancing ChatGPT with personality controls and improved conversational abilities for paid users

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In Short:
– OpenAI launched GPT-5.1 with two models to improve ChatGPT’s conversation and user control.
– The update, initially for paid users, addresses prior complaints and introduces adaptive reasoning and personality presets.
OpenAI launched GPT-5.1 today, featuring two upgraded models aimed at enhancing ChatGPT’s conversational abilities and providing users better control over its personality.The update started rolling out to paid subscribers on November 12, introducing GPT-5.1 Instant and GPT-5.1 Thinking, both designed to address complaints regarding the original GPT-5 release in August.

GPT-5.1 Instant is said to be “warmer by default and more conversational,” with early testers noting its playfulness while remaining clear and useful.

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The launch follows a backlash from users after GPT-5’s release, who criticized its “colder” tone and the removal of previous models like GPT-4o. OpenAI’s CEO, Sam Altman, admitted that discontinuing GPT-4o “was a mistake” and acknowledged the emotional attachment users had to specific models.

Adaptive Reasoning

GPT-5.1 Instant introduces adaptive reasoning, which helps it determine when to “think before responding” to complex questions.

This leads to marked improvements in mathematical and coding tasks. GPT-5.1 Thinking adjusts processing time based on the task, resulting in clearer explanations and improved ease of use for various tasks.

The new version includes six personality presets, allowing users to tailor interactions. OpenAI aims for the model to integrate cognitive and emotional intelligence effectively.

For now, the rollout is for paid users, with free access occurring soon. Both models will be available via API, and legacy models will remain accessible for three months.


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Apple postpones iPhone Air sequel due to poor sales

Apple delays iPhone Air 2 indefinitely after lacklustre sales of first model

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Apple delays iPhone Air 2 indefinitely after lacklustre sales of first model

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In Short:
– Apple has postponed the iPhone Air’s launch due to poor sales of the current model.
– Production of the iPhone Air will stop, with Foxconn and Luxshare ceasing manufacturing by November and October respectively.
Apple has delayed the launch of its second-generation iPhone Air, which was scheduled for fall 2026, due to disappointing sales of the current model that debuted two months ago, as reported by The Information.Engineers and suppliers have been informed that the iPhone Air will be removed from the production schedule without a new release date.

The decision coincides with a significant reduction in the production of the existing model. Foxconn is expected to cease all manufacturing by the end of November, while Luxshare will stop production by the end of October.

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Sales for the iPhone Air have not met Apple’s expectations since its launch in September. Foxconn has limited its production lines for the device, and future orders are projected to decrease significantly. A survey indicated nearly no demand for the iPhone Air, with consumers instead choosing the iPhone 17 and iPhone 17 Pro models.

Production Challenges

The underperformance of the iPhone Air continues a trend of failed attempts by Apple to add a fourth model to its lineup.

The iPhone mini was previously discontinued after poor sales, followed by the larger Plus models, which faced similar challenges.

Apple had intended to develop a lighter second-generation iPhone Air with improved specifications but may now reconsider its design approach. The company also has plans for a staggered launch of the iPhone 18 lineup set for 2026 and early 2027.


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Tech giants’ $47 billion AI infrastructure deals announced

Tech giants commit $47.7 billion to AI deals as demand for computing power soars and market diverges

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Tech giants commit $47.7 billion to AI deals as demand for computing power soars and market diverges

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In Short:
– Wall Street started November mixed as AI deals boosted tech stocks, especially Amazon’s share price after a major agreement.
– OpenAI plans $1.4 trillion investment for computing resources, with Big Tech predicting over $250 billion AI infrastructure spending this year.
Wall Street began the month with mixed performances as major artificial intelligence deals influenced tech stocks positively, while broader market indices diverged.
Amazon’s shares rose over 5% following a significant $38 billion cloud services agreement with OpenAI, contributing to gains for the Nasdaq despite a decline in the Dow.The seven-year collaboration with Amazon Web Services marks OpenAI’s first major partnership with AWS, offering access to Nvidia graphics processing units essential for its AI expansion.

Amazon commented on the soaring demand for computing power resulting from rapid AI advancements, aiming for full capacity deployment by the end of 2026.

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Microsoft also sealed a $9.7 billion agreement with IREN, highlighting the industry’s insatiable need for cloud capacity.

The collaborations depict Big Tech’s ongoing commitment to AI infrastructure, with significant investments aimed at catering to the escalating demand for computing resources.

Investment Perspective

OpenAI CEO Sam Altman revealed intentions to invest $1.4 trillion to create 30 gigawatts of computing resources.

Major players, including Microsoft, Alphabet, Amazon, and Meta, have adjusted their capital expenditure forecasts for 2025, anticipating AI infrastructure spending to surpass $250 billion this year.

Despite market caution regarding inflated valuations, analysts remain optimistic about growth in the sector. Even amidst fears of an AI bubble, industry leaders assert ongoing investments will continue to bolster market performance through 2026.


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