AI for cyber and cyber for AI
AI-based document classification for cybersecurityEUROCONTROL
AI for Malware Hunting & Investigation in ATM systemThales
Insider Protection - Data- driven approach based insider threat detectionAirbus
The European Defence Agency perspectiveEDA
Artificial intelligence (AI) and machine learning (ML) have a key role to play in mitigating cyber risk in aviation by identifying and responding to cybersecurity threats. However, AI can also be deployed for malicious intent, with hackers using the technology to commit larger-scale and more efficient attacks.
How is AI improving cybersecurity – and how can we use AI to counter AI-powered cyber-attacks?
That is the big question on the table for our sixth joint “FLY AI” webinar. We lined up a panel of AI experts from different aviation organisations that helped us build a clearer picture of how we can strengthen aviation’s cyber-resilience using AI, and talked about the innovative AI/ML solutions that already exist to address cyber threats.
- AI/ML can definitely help cyber manage lots of data and complex contexts and facilitate human decision-making. But it’s not the silver bullet, in particular when it comes to training models in a cyber-related context
- We are the beginning of a journey in the use of AI/ML in cyber with lots of opportunities ahead of us
- Sharing experiences & lessons learned when using AI/ML in cyber is important – sharing apps would be ideal as sharing data is difficult
- Making AI/ML more resilient to cyber threats is a must