Unauthorized access to a legitimate users account obtained through stolen credentials, session hijacking, credential stuffing, or social engineering, allowing an attacker to act as the real user.
A widely adopted symmetric encryption algorithm used to securely protect data at rest and in transit using fixed-length cryptographic keys (commonly 128, 192, or 256-bit).
A highly skilled, well-funded attacker or group that infiltrates a network and maintains long-term, stealthy access to steal data, monitor activity, or disrupt operations, typically targeting enterprises or governments.
Techniques used to manipulate or deceive machine learning systems by feeding crafted inputs, poisoning training data, or exploiting model weaknesses to cause incorrect or unsafe decisions.
The practice of protecting AI systems, models, and training data from theft, manipulation, leakage, and misuse, while ensuring the AI behaves safely and predictably.
A network that is physically isolated from the internet and other external networks to prevent remote cyberattacks and unauthorized data transfer.
The protection of algorithms and automated decision logic from reverse engineering, tampering, data poisoning, and manipulation that could alter outcomes or expose sensitive data.
The identification of unusual behavior or activity patterns that deviate from normal baselines and may indicate a cyberattack or system compromise.
Security software designed to detect, block, quarantine, and remove malicious programs such as viruses, ransomware, spyware, and trojans.
Technologies and controls that identify and block fraudulent emails, messages, and websites attempting to trick users into revealing credentials or sensitive information.
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