12 Questions
What is the purpose of AI applied to cybersecurity, as mentioned in the text?
To identify and predict network anomalies
In the context of cybersecurity, what does 'predictive analytics' primarily involve?
Detecting anomalies in network patterns and user activities
What distinguishes an 'Advanced Persistent Threat (APT)' in the realm of cybersecurity?
It hides within the network and causes long-term damage
What is the primary approach used by cognitive computers in cybersecurity, as per the text?
Correlating text information with existing knowledge
What is the primary defense against social engineering?
Education and awareness
What percentage of network intrusions involve social engineering?
66-84%
What is spear phishing and how does it differ from regular phishing?
Spear phishing targets a specific victim based on research, while regular phishing is not targeted.
What happens if a retailer's data is stolen in relation to potential spear phishing attacks?
The stolen data provides information for potential spear phishing attacks.
What is the most common way into an SSH account?
Guessing the password with modern brute force tools
Which method is recommended to fight off an SSH brute force attack?
Limiting the number of password-guessing attempts
What type of attack involves embedding malicious instructions into an SQL database?
SQL injection
Which type of databases are described as making data access to mobile apps more efficient?
NoSQL databases
Study Notes
Cybersecurity and AI
- AI is applied to cybersecurity to enhance threat detection, incident response, and security orchestration.
Predictive Analytics in Cybersecurity
- Predictive analytics primarily involves using statistical models, machine learning, and data mining to identify potential security threats and prevent future attacks.
Advanced Persistent Threats (APTs)
- APTs are sophisticated, targeted cyber-attacks where an attacker remains undetected on a network for an extended period to steal sensitive data.
Cognitive Computers in Cybersecurity
- Cognitive computers in cybersecurity primarily use machine learning and natural language processing to analyze and respond to cyber threats in real-time.
Defense Against Social Engineering
- The primary defense against social engineering is employee education and awareness.
Social Engineering Statistics
- Around 90% of network intrusions involve social engineering.
Spear Phishing
- Spear phishing is a targeted form of phishing where attackers focus on a specific individual or group, often using personalized emails to trick them into divulging sensitive information.
Consequences of Data Theft
- If a retailer's data is stolen, it can be used to launch targeted spear phishing attacks on customers.
SSH Account Security
- The most common way into an SSH account is through weak or default passwords.
Fighting SSH Brute Force Attacks
- The recommended method to fight off an SSH brute force attack is to use a combination of password cracking prevention tools, two-factor authentication, and IP blocking.
SQL Injection Attacks
- SQL injection attacks involve embedding malicious instructions into an SQL database to access sensitive data.
Efficient Data Access for Mobile Apps
- NoSQL databases are designed to make data access more efficient for mobile apps.
Test your knowledge of the diverse aspects of cybersecurity and threat response with this quiz based on Chapter 1 of 'Artificial Intelligence & Cybersecurity'. Explore topics such as social engineering, phishing, and the multifaceted nature of cybersecurity.
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