Password attacks are among the most common and damaging forms of cyber threats. These attacks aim to steal or guess passwords to gain unauthorized access to systems and data. According to the Verizon Data Breach Investigations Report, 81% of hacking-related…
In recent years, cryptojacking has emerged as a significant cybersecurity threat. Cryptojacking involves the unauthorized use of someone else’s computer or device to mine cryptocurrency. This type of attack is insidious because it often goes unnoticed, silently siphoning off computing…
In the digital age, social engineering attacks are among the most cunning and effective methods used by cybercriminals. Unlike traditional hacking techniques that target software and systems, social engineering exploits the human element, manipulating individuals into divulging confidential information or…
In the realm of cybersecurity, zero-day exploits are among the most feared and challenging threats. A zero-day exploit involves targeting a previously unknown vulnerability in software, hardware, or firmware, for which no patch or defense mechanism is available. This makes…
In the ever-evolving landscape of cybersecurity, malware attacks remain one of the most prevalent and destructive threats. According to Cybersecurity Ventures, global damages from cybercrime, including malware attacks, are projected to reach $10.5 trillion annually by 2025. Another startling fact…
As Artificial Intelligence (AI) continues to revolutionize various industries, concerns about security and privacy have become paramount. The Open Web Application Security Project (OWASP) has developed the AI Security and Privacy Guide to address these concerns. This article provides a…
Machine learning (ML) models are vulnerable to adversarial attacks, where malicious inputs are crafted to deceive the model into making incorrect predictions. To address this growing threat, the MITRE Corporation has developed the Adversarial Machine Learning Threat Matrix (AMLT), a…
Artificial Intelligence (AI) has the potential to transform industries and improve the quality of life for people around the world. However, the rapid advancement of AI also raises concerns about its safe, secure, and trustworthy development and use. To address…
Machine learning (ML) models are vulnerable to adversarial attacks, where malicious inputs are crafted to deceive the model into making incorrect predictions. To address this growing threat, the MITRE Corporation has developed the Adversarial Machine Learning Threat Matrix (AMLT), a…
As Artificial Intelligence (AI) continues to revolutionize various industries, concerns about security and privacy have become paramount. The Open Web Application Security Project (OWASP) has developed the AI Security and Privacy Guide to address these concerns. This research paper provides…
