Cybersecurity and AI: The challenges and opportunities
Jun 5, 2023 · AI developers have a unique responsibility to design systems that are robust and resilient against misuse. Techniques like differential privacy and federated learning can be used to protect data. At the same time, efforts like OpenAI's work on AI and cybersecurity research are vital to staying ahead of evolving threats.
Cybersecurity is on the frontline of our AI future. Here's why
Jan 15, 2024 · Harnessing AI for security resilience The solutions to increasing attacks are focused, directed applications of AI. Government agencies and industry leaders must act swiftly and prudently to apply AI-powered solutions and methodologies to strengthen the effectiveness and efficiency of their security teams to contend with this challenging landscape.
AI and cybersecurity: Navigating the risks and opportunities
Feb 29, 2024 · Although AI will augment the effectiveness of cyberattacks, their impact can be offset by using AI technologies to enhance cyber defence capabilities. Harnessing the advantages brought by AI will require global public-private cooperation to ensure its applications can be translated in an equitable and secure manner across society.
The rise of AI threats and cybersecurity: predictions for 2024
Feb 15, 2024 · One thing I can safely predict is that artificial intelligence (AI) isn’t going anywhere. A case in point: large language models have transformed organizational cybersecurity. Large language models arm security teams with the incredible power to sift large amounts of data into actionable insights through simple queries.
Why AI is the key to cutting-edge cybersecurity - The World …
Jul 21, 2022 · CUJO AI’s security data shows how close to 60% of all threats to mobile devices are related to unsafe browsing: millions of devices are accessing malware distribution, spam, and spyware sites. Alarmingly, around 20% of mobile browsing threats stem from phishing activities – one of the most difficult threats to counter due to the short-lived ...
4 ways AI can help us enter a new age of cybersecurity
Jun 17, 2021 · For example, in 2016 Google listed around 20,000 sites for having malware within their system. While humans can't scrutinize millions of websites, machine learning can. It is possible to use relevant AI solutions to analyze every visit to the site, categorize visitors based on their threat level, and deal with them accordingly.
Why we need to reflect on the need for cybersecurity of AI
Dec 5, 2023 · The global investment in wider technologies and business models, such as the Internet-of-Things and cloud services, will bring about a significant opportunity for developing AI capability – in terms of access to algorithms, models and training datasets, and in AI-as-a-service offerings and solutions that make the technology more accessible and easier to use.
What cybersecurity threats does generative AI expose us to?
Jun 28, 2023 · Generative AI can impact reverse engineering by automating the process and producing high-quality results quickly. This can be beneficial and detrimental. It can help security researchers identify and mitigate vulnerabilities, but also aid malicious actors in discovering and exploiting weaknesses in software and hardware systems.
AI could empower and proliferate social engineering cyberattacks
Oct 25, 2024 · Utilizing advanced models, AI has transformed the cybersecurity threat landscape and can cause devastating impact. The ability of AI-based attacks to reason and act renders traditional defense techniques ineffective. This development has paved the way for emerging sophisticated threats at a speed and scale far beyond human capabilities.
Resilience is key as emerging tech poses new cyber risks. | World ...
Oct 16, 2024 · 2. AI’s risk and reward profile. Less than two years after the generative AI breakthrough, new vulnerabilities include data poisoning, model manipulation and adversarial attacks such as AI-driven phishing. On the upside, AI tools can significantly enhance cybersecurity measures.