In an era where digital interactions permeate every aspect of our lives, the threat of cybercrime looms larger than ever. From sophisticated hacking attempts to ransomware attacks targeting critical infrastructure, the landscape of cyber threats is constantly evolving. Traditional cybersecurity measures, while essential, often struggle to keep pace with the speed and complexity of modern attacks. However, amid this escalating arms race, a new ally has emerged: artificial intelligence (AI). With its ability to analyze vast amounts of data, detect anomalies and adapt in real-time, AI is revolutionizing the fight against cybercrime. CPO Magazine brought this interesting information to our attention in their article, “Using AI to Build Cyber Resilience for Critical Infrastructure.”
Cybercrime encompasses a wide range of malicious activities aimed at exploiting vulnerabilities in computer systems and networks. Traditional cybersecurity approaches typically rely on rule-based systems and signature-based detection methods. While effective to some extent, these methods often struggle to detect previously unseen or evolving threats. Moreover, the sheer volume of data generated by modern networks and systems overwhelms human analysts, making it difficult to identify and respond to threats in real-time.
Everyone is looking at AI. Everyone is getting mixed results. The main issue is that data science has not changed, and scientific content is very complex and needs more attention to get the most out of the new AI engines. This is not new for Access Innovations.
Melody K. Smith
| Data Harmony is an award-winning semantic suite that leverages explainable AI. |
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Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.
