Using AI to Detect Cyber Threats

The video discusses how artificial intelligence, like Darktrace, is used to detect and respond to cyber threats by mimicking the human immune system. It highlights the impact of GDPR on business security, particularly the 72-hour breach notification rule, and the challenges it poses. The video also addresses the issue of false positives in AI systems and how they are managed by understanding the 'pattern of life' within a network.

How does artificial intelligence in cybersecurity mimic the human immune system?

• By creating a physical barrier like skin

• By learning and identifying anomalies within a network

• By using human intervention to detect threats

• By relying on external data sources for threat detection

What is one of the key requirements of GDPR that affects cybersecurity practices?

• Mandatory encryption of all data

• 72-hour breach notification rule

• Annual security audits

• Unlimited data retention

Why is the 72-hour breach notification rule challenging for companies?

• It involves notifying all customers directly

• It demands rapid identification and reporting of breaches

• It requires immediate public disclosure

• It mandates a complete system shutdown

How do AI systems reduce false positives in cybersecurity?

• By ignoring minor threats

• By relying solely on user reports

• By learning the normal behavior patterns within a network

• By increasing the number of alerts

What is the average number of concerning events highlighted by AI systems weekly?

• 20 to 25

• 10 to 15

• 5 to 7

• 1 to 3