Tracking Global Conflicts: AI for real-time insights

17

October

2023

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Nowadays it’s almost impossible to miss all the conflicts that currently take place in the world. Currently we live in a highly digitalized world with more than 110 ongoing conflicts and access to a vast amount of options to share information. This creates an abundance of data which makes it even harder to find and filter out the most relevant and reliable information regarding ongoing conflicts (Geneva Academy, z.d.). Live Universal Awareness Map, also known as Liveuamap has solved this problem by changing the way we consume information about- and track events related to conflicts worldwide.

Let’s start with a little bit of general info about liveuamap. Liveuamap is an online platform which uses AI algorithms to gather data from a variety of sources, such as social media, news sites, and official publications, and then analyzes and categorizes this data to produce dynamic news reports. With real-time updates, in-depth maps, and interactive elements that improve the user experience, the platform can provide users with a comprehensive and up-to-date perspective of conflicts thanks to its AI-driven methodology. Its results are in turn shared by providing the user with a world map filled of a wide range of recent events including the AI’s and experts’ interpretation of the event, images, videos, and URL’s to the original source, allowing full transparency.

As I always have been really interested in what happens around the world, I was really enthused when I found out about the release of liveuamap. At first, I sometimes spend hours scrolling through loads of articles and social media posts (and that excludes fact-checking). But after the release of this platform I not only instantly benefited from the amount of time saved from scrolling through data, thanks to the AI I got access to the most recent updates whenever I wanted to. In my opinion again a great example of how AI can improve our world of information. This also got me wondering about the potential use cases of AI in the future regarding to event monitoring. I would love to hear your opinions on that.

Bibliography

Geneva Academy. (z.d.). Today’s armed conflicts – The Geneva Academy of International Humanitarian Law and Human Rights. Geneva-Academy.ch. Geraadpleegd op 17 oktober 2023, van https://geneva-academy.ch/galleries/today-s-armed-conflicts

LiveUAmap. (z.d.). About. Liveuamap.com. Geraadpleegd op 17 oktober 2023, van https://liveuamap.com/about#history

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AI and cyber security: How AI revolutionizes cyber defense

13

October

2023

No ratings yet. In our modern and highly digitalized world, the fight against cyber-attacks has become more difficult and persistent than ever before. Hackers continuously improve their hacking techniques, forcing organization to constantly adapt and innovate their cybersecurity efforts. In addition, not only did their techniques improve, COVID-19 has also caused a shift to hybrid working, taking computers out of firms’ protected environments, increasing their vulnerability (Cisco, 2022; Dua et al., 2022). Artificial Intelligence (AI) could be one of the most revolutionizing weapons in this everlasting fight thanks to its capacity to examine massive databases, find anomalies, and quickly respond to those threats. Below I will further elaborate on just a couple of areas of cybersecurity, I found AI is a useful tool.

1. Behavioral analysis
Due to AI’s capabilities of analyzing and comparing vast amounts of data, Artificial Intelligence could be employed to constantly observe user and system behavior to identify and report suspicious behavior (VMware, 2023). Being able to identify suspicious behavior enables security teams to quickly respond to threats and identify new vulnerabilities.

2. Improving defense against phishing
Almost everyone has ever encountered phishing emails in its life as phishing is one of the most used methods used by cyber criminals (Cisco, 2023). The success of this technique relies heavily on human errors, which is a huge vulnerability for security matters. As hackers improve their phishing techniques, recognizing malicious emails becomes much harder. AI could be implemented in this field for thoroughly examining messages and blocking any harmful phishing attempts and informing users on suspicious details they might have missed (Visua, 2022).

3. Network surveillance
Network surveillance is the practice of monitoring computer networks for vulnerabilities such as unauthorized access or other suspicious behavior (Rouse, 2016). On this field of cyber security, AI could be used for continuously performing surveillance tasks such as packet sniffing, screening systems trying to access the network, and analyzing logs and flows. This is crucial for maintaining the security and integrity of corporate networks.

Bibliography
Cisco. (2022). How Modern Security Teams Fight Today’s Cyber Threats. In Cisco Umbrella. Retrieved October 13, 2023, from https://umbrella.cisco.com/info/ebook-how-modern-security-teams-fight-todays-cyber-threats
Cisco. (2023, October 5). What is a cyberattack? Cisco.com. Retrieved October 13, 2023, from https://www.cisco.com/c/en/us/products/security/common-cyberattacks.html
Dua, A., Ellingrud, K., Kirschner, P., Kwok, A., Luby, R., Palter, R., & Pemberton, S. (2022). Americans are embracing flexible work—and they want more of it. McKinsey & Company. https://www.mckinsey.com/industries/real-estate/our-insights/americans-are-embracing-flexible-work-and-they-want-more-of-it
Rouse, M. (2016, March 16). Network Surveillance. Techopedia. Retrieved October 13, 2023, from https://www.techopedia.com/definition/31668/network-surveillance
Visua. (2022, October 27). Anti Phishing With Detection Powered By Visual-AI. VISUA. Retrieved October 13, 2023, from https://visua.com/use-case/anti-phishing-detection-with-visual-ai
VMware. (2023, April 9). What is Behavioral Analysis. VMware.com. Retrieved October 13, 2023, from https://www.vmware.com/topics/glossary/content/behavioral-analysis.html

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