The Increasing Impact of Generative AI in Cybersecurity

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Generative AI (GenAI) is reshaping cybersecurity by enhancing defenses and creating new threats.

According to the Splunk CISO Report, 52% of CISOs prioritize GenAI to address rising cyber risks, but only 33% of board members align with this focus, revealing a gap in corporate priorities.

GenAI is vital for risk identification (39%), threat intelligence (39%), and detection (35%), but cybercriminals are using AI to strengthen attacks, making existing methods more effective (32%) and creating new threats (23%).

Despite these advancements, 64% of CISOs point to insufficient budgets and board support as reasons for frequent cyberattacks. While 41% of boards believe their budgets are adequate, only 29% of CISOs agree, posing a significant risk.

The top concerns for 36% of CISOs include AI-driven cyberattacks, with cyber extortion (24%) and data breaches (23%) also major worries.

Greg Clark from OpenText Cybersecurity stresses the importance of education, as AI-enhanced phishing and insider threats demand robust training.

To tackle these challenges, 91% of organizations are offering cross-functional training.

Additionally, 86% believe AI can help address the cybersecurity skills gap. Strong passwords and multi-factor authentication are key defenses, as 80% of breaches stem from poor password security.

Companies must also evaluate third-party vendor vulnerabilities. Despite budget constraints, investing in cybersecurity is essential to protect against costly ransomware attacks and maintain trust.

Chinese AI App Surpasses ChatGPT on App Store in Just One Week

Chinese startup DeepSeek has gained significant attention with its new AI model, DeepSeek R1, which has surpassed ChatGPT to become the top app on Apple’s App Store in the United States.

The model, priced up to 95% lower than OpenAI’s offerings, has proven impressive in handling complex reasoning tasks. Developed for just $5.6 million, it’s a fraction of the typical costs tech giants spend on AI development.

Early feedback highlights the model’s effectiveness, with software developers praising its ability to generate efficient code. Users have also succeeded in tasks like web development and chess strategy.

DeepSeek R1 is particularly strong in mathematical problem-solving and coding challenges, according to benchmark tests. Additionally, the model can run on standard hardware, handling intricate tasks with ease.

Users on social media have demonstrated its capability to perform demanding computations on everyday consumer devices.

Liang Wenfeng, DeepSeek’s founder, emphasized that the company aims to democratize innovation. By offering free access to individuals and charging developers just $0.14 per million tokens, compared to OpenAI’s $7.5, the model has gained popularity.

DeepSeek’s success is even more impressive considering China’s limited access to U.S. semiconductor technology. The company managed to stockpile 10,000 Nvidia H100 chips, enabling continued development despite geopolitical challenges.


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