Cybersecurity Threats and AI Defense (CY0-001) Flashcards

CompTIA SecAI+ CY0-001 Flashcards

Front	Back
Advanced Persistent Threats (APTs)	AI analyzes long-term attack patterns to counteract targeted intrusions
API abuse	AI monitors API call patterns to identify and mitigate exploitation attempts
Botnet activities	AI tracks IP reputation and detects botnet command-and-control signals
Browser hijacking	AI monitors and prevents unauthorized changes to browser configurations
Brute force attacks	AI detects repeated login attempts and implements adaptive security measures
Cloud security threats	AI provides continuous monitoring for unauthorized access and misconfigurations
Command injection	AI scans for system command anomalies that could signal injection attacks
Credential stuffing	AI identifies high-volume login attempts to block automated attacks
Critical infrastructure attacks	AI monitors SCADA systems for irregular control commands or activities
Cross-site scripting (XSS)	AI detects suspicious code or scripts embedded in web pages
Cryptojacking	AI detects unauthorized resource usage tied to cryptocurrency mining
Dark web threats	AI analyzes dark web forums for leaked credentials or upcoming attack plans
Data exfiltration	AI uses network monitoring tools to detect unauthorized data transfers
Digital supply chain spoofing	AI identifies forged digital certificates and suspicious software updates
Distributed Denial of Service (DDoS)	AI identifies and mitigates abnormal traffic patterns in real-time
DNS tunneling	AI analyzes DNS request patterns to uncover covert data channels
Drive-by downloads	AI flags compromised websites and blocks unauthorized file downloads
Email spoofing threats	AI examines header authenticity and sender reputation metrics
Endpoint device cloning	AI flags duplicate device signatures indicating potential security compromises
Endpoint protection	AI secures endpoints by detecting malicious activity and behavioral anomalies
Fake or deepfake media	AI detects manipulated media using facial and audio analysis techniques
Fileless malware	AI detects memory-based attacks using anomaly detection techniques
Firmware hacking	AI monitors firmware-level behaviors for signs of malicious tampering
Insider threats	AI analyzes user activity to flag anomalies that may indicate a malicious insider
IoT device vulnerabilities	AI secures IoT devices by identifying abnormal device behaviors
Malware detection	AI uses behavioral analysis and machine learning to identify malicious code
Man-in-the-Middle (MitM) attacks	AI encrypts communication channels and monitors for interception attempts
Mobile device threats	AI scans apps and network activity for malicious behaviors on mobile platforms
Phishing attacks	AI tools analyze email metadata and content to detect phishing attempts
Privilege escalation attempts	AI traces user behavior to prevent unauthorized access elevation
Ransomware threats	AI monitors abnormal file encryption patterns to identify ransomware actions
Remote code execution (RCE)	AI tracks suspicious processes to block unauthorized code execution attempts
Rogue access points	AI identifies unauthorized network access points and secures wireless connections
Social engineering attacks	AI assesses communication patterns to flag potential deception or manipulation
SQL injection	AI scans for unusual database query behaviors to prevent data breaches
Steganography	AI scans media files for hidden malicious code or secret communication channels
Supply chain attacks	AI monitors vendor and partner interactions for suspicious activities
Threat hunting	AI automates data analysis to identify potential attacks proactively
Wireless eavesdropping	AI encrypts wireless signals and flags attempts to intercept communications
Zero-day vulnerabilities	AI predicts and patches vulnerabilities based on threat intelligence data

CompTIA SecAI+ CY0-001

This deck explores various types of cybersecurity threats and how AI-powered tools are used to detect and mitigate them effectively.

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