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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.
Data leakage is the unchecked exfiltration of organizational data to a third party. It occurs through various means such as misconfigured databases, poorly protected network servers, phishing attacks, or even careless data handling.
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.
Prompt injection attacks are an AI security threat where an attacker manipulates the input prompt in natural language processing (NLP) systems to influence the system’s output.
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.
This article offers an extensive examination of Azure environments’ most pressing security risks along with suggested approaches for effectively mitigating these challenges.
Learn about the most pressing security risks shared by all AI applications and how to mitigate them.
Remote code execution refers to a security vulnerability through which malicious actors can remotely run code on your systems or servers.
A cloud security risk is any threat that might impact the confidentiality, integrity, and availability (CIA) of data and applications hosted in the cloud.
Cloud sprawl is a phenomenon that involves the unmanaged growth of cloud-based resources and services.
Data exfiltration is when sensitive data is accessed without authorization or stolen. Just like any data breach, it can lead to financial loss, reputational damage, and business disruptions.
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.
Cryptojacking is when an attacker hijacks your processing power to mine cryptocurrency for their own benefit.
Credential stuffing is a type of cyberattack where automated tools are used to repeatedly inject stolen username/password combinations into various services to gain access to legitimate users’ accounts in addition to those that were originally breached.
Cross-site scripting (XSS) is a vulnerability where hackers insert malicious scripts inside web applications with the aim of executing them in a user’s browser.
A man-in-the-middle (MitM) attack is a type of cyberattack where a hacker intercepts data transferred between two parties.
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.
This article examines common AWS security challenges, including identity and access control gaps, data exposure risks, and monitoring blind spots.
Shadow data is any data that is created, stored, or shared outside of an organization's formal IT environment and management policies.
Explore common security missteps in detail and learn actionable recommendations to help organizations strengthen their GCP environments.
Privilege escalation is when an attacker exploits weaknesses in your environment or infrastructure to gain higher access and control within a system or network.
A rootkit is a suite of software designed to grant a cyberattacker privileged access while disguising the invasion to evade detection.
A reverse shell attack is a type of cyberattack where a threat actor establishes a connection from a target machine (the victim's) to their machine.
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.
Shadow AI is the unauthorized use or implementation of AI that is not controlled by, or visible to, an organization’s IT department.
Malicious code is any software or programming script that exploits software or network vulnerabilities and compromises data integrity.
A security misconfiguration is when incorrect security settings are applied to devices, applications, or data in your infrastructure.
The open-source nature of Kubernetes means that it is continually being updated and improved, which introduces new features and functionalities—as well as new vulnerabilities. Understand the most pressing K8 security challenges.
Configuration drift is when operating environments deviate from a baseline or standard configuration over time.
As companies transition to the cloud, they are sure to be confronted with these seven security challenges.
We outline the most common cloud vulnerabilities with real-life examples of attacks that exploited these vulnerabilities, and simple steps you can take to mitigate them.
Shadow IT is an employee’s unauthorized use of IT services, applications, and resources that aren’t controlled by—or visible to—an organization’s IT department.
