What Is Privilege Escalation? Types and Prevention Strategies
Privilege escalation is when an attacker exploits weaknesses in your environment or infrastructure to gain higher access and control within a system or network.
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Privilege escalation is when an attacker exploits weaknesses in your environment or infrastructure to gain higher access and control within a system or network.
Lateral movement is a cyberattack technique used by threat actors to navigate a network or environment in search of more valuable information after gaining initial access.
A brute force attack is a cybersecurity threat where a hacker attempts to access a system by systematically testing different passwords until a correct set of credentials is identified.
An attack surface is refers to all the potential entry points an attacker could exploit to gain unauthorized access to a system, network, or data.
Cryptojacking is when an attacker hijacks your processing power to mine cryptocurrency for their own benefit.
Remote code execution refers to a security vulnerability through which malicious actors can remotely run code on your systems or servers.
Malicious code is any software or programming script that exploits software or network vulnerabilities and compromises data integrity.
Shadow AI is the unauthorized use or implementation of AI that is not controlled by, or visible to, an organization’s IT department.
A security misconfiguration is when incorrect security settings are applied to devices, applications, or data in your infrastructure.
La TI en la sombra es el uso no autorizado por parte de un empleado de servicios, aplicaciones y recursos de TI que no están controlados por el departamento de TI de una organización ni son visibles para él.
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Cross-site request forgery (CSRF), also known as XSRF or session riding, is an attack approach where threat actors trick trusted users of an application into performing unintended actions.
Data sprawl refers to the dramatic proliferation of enterprise data across IT environments, which can lead to management challenges and security risks.
In this blog post, we’ll explore security measures and continuous monitoring strategies to prevent these leaks, mitigating the risks posed by security vulnerabilities, human error, and attacks.
LLM models, like GPT and other foundation models, come with significant risks if not properly secured. From prompt injection attacks to training data poisoning, the potential vulnerabilities are manifold and far-reaching.
La fuga de datos es la exfiltración incontrolada de datos de la organización a un tercero. Se produce a través de varios medios, como bases de datos mal configuradas, servidores de red mal protegidos, ataques de phishing o incluso un manejo de datos descuidado.
ChatGPT security is the process of protecting an organization from the compliance, brand image, customer experience, and general safety risks that ChatGPT introduces into applications.
Adversarial artificial intelligence (AI), or adversarial machine learning (ML), is a type of cyberattack where threat actors corrupt AI systems to manipulate their outputs and functionality.
LLM jacking is an attack technique that cybercriminals use to manipulate and exploit an enterprise’s cloud-based LLMs (large language models).
Credential access is a cyberattack technique where threat actors access and hijack legitimate user credentials to gain entry into an enterprise's IT environments.
Los ataques de inyección de avisos son una amenaza para la seguridad de la IA en la que un atacante manipula el mensaje de entrada en los sistemas de procesamiento de lenguaje natural (NLP) para influir en la salida del sistema.
Data poisoning is a kind of cyberattack that targets the training data used to build artificial intelligence (AI) and machine learning (ML) models.
Dark AI involves the malicious use of artificial intelligence (AI) technologies to facilitate cyberattacks and data breaches. Dark AI includes both accidental and strategic weaponization of AI tools.
MITRE ATT&CK (Adversarial Tactics, Techniques, and Common Knowledge) is a cybersecurity framework that helps enterprises fortify themselves against cyber threats.
MITRE ATT&CK®, a publicly available security toolkit that helps enterprises overcome cyber threats, defines defense evasion as a way for malicious actors to evade detection during an attack.