Security A-Z
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An attack where a threat actor uses a reverse proxy to intercept communication between a user and an authentication service in real time, capturing session cookies and bypassing multi-factor authentication. AiTM phishing represents a major escalation in identity threats targeting cloud and SaaS environments.
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The practice of systematically probing AI systems, particularly large language models and machine learning pipelines, to find vulnerabilities, safety failures, and exploitable behaviors before adversaries do. It extends traditional red teaming to AI-specific attack vectors like prompt injection, data poisoning, model extraction, and jailbreaking.
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A security methodology that uses graph-based modeling to map the chains of exploitable relationships an attacker could traverse to reach high-value targets. Instead of scoring weaknesses in isolation, it links misconfigurations, excessive permissions, and trust relationships into end-to-end attack sequences that reveal genuine breach risk.
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The process of exploiting IAM misconfigurations, overly permissive policies, or service trust relationships to gain higher access than originally granted in AWS. Classic paths include abusing iam:CreatePolicyVersion or passing a high-privilege role to a service, turning a small foothold into account-wide control.
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A Kubernetes control plane component that embeds cloud-specific logic, bridging cluster operations with cloud provider APIs for managing load balancers, storage volumes, and node lifecycle. It is the key abstraction layer that allows Kubernetes to work consistently across AWS, Azure, GCP, and other providers.
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The discipline of designing, building, testing, and maintaining threat detections purpose-built for cloud environments. Unlike on-premises detection built on network and endpoint telemetry, it centers on API call logs and the control plane itself, the management APIs that provision and govern cloud resources.
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When an attacker exploits misconfigured or over-permissioned identity and access management policies to gain higher access than originally granted. Rather than exploiting OS vulnerabilities, it follows the IAM policy graph, abusing legitimate features like role assumption, policy attachment, and service account impersonation.
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The process of detecting, investigating, containing, and recovering from security incidents in cloud environments. Because there is often no disk to image or agent to query, cloud response relies on API and control-plane logs to reconstruct what happened, frequently after the ephemeral resource involved is already gone.
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Any cloud resource setting that deviates from security best practices or policy, creating unintended exposure such as public data access, excessive permissions, disabled encryption, or missing audit logging. Misconfigurations remain the single largest cause of cloud data breaches, ahead of zero-days or provider failures.
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A category of security tooling that continuously monitors cloud infrastructure across AWS, Azure, and GCP for misconfigurations, compliance violations, and security risks. CSPM compares deployed configurations against best practices and policy baselines, then surfaces prioritized findings that represent real exposure.
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The practices, configurations, and monitoring required to protect Microsoft Entra ID (formerly Azure Active Directory), the identity backbone for Microsoft 365 and single sign-on. Because so many organizations federate their entire workforce through it, Entra ID is one of the highest-value targets in enterprise security.
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A mechanism that lets CI/CD workflows authenticate to cloud providers without storing static credentials, using short-lived OpenID Connect tokens issued by GitHub. The cloud side validates claims about the workflow, such as repository, branch, and environment, through an IAM trust policy, removing long-lived keys from pipelines.
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A cybersecurity attack where an LLM is tricked into following hidden malicious instructions embedded in external data it processes, such as documents, emails, or uploaded files. This technique poisons the data the model retrieves, exploiting the inability of LLMs to distinguish trusted instructions from untrusted content.
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A piece of code that intercepts requests to the Kubernetes API server before an object is persisted, acting as a gatekeeper that enforces security, governance, and operational policies. Admission controllers can validate or mutate resources, blocking non-compliant workloads before they enter the cluster.
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A social engineering technique where attackers repeatedly send MFA push notifications to a target's device until they approve the request out of exhaustion. Used in the 2022 Uber and Cisco breaches, this attack exploits human psychology rather than cryptographic weakness, and has evolved alongside defenses like number matching.
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A Linux container, typically in Kubernetes, that is granted nearly all capabilities of the host system's root user, removing the isolation boundary between the container and the underlying node. From a security perspective, a compromised privileged container gives an attacker direct access to the host kernel, filesystem, and network.
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A Kubernetes mechanism that automatically adds a secondary container to a Pod at creation time. From an offensive perspective, an attacker with sufficient cluster privileges can inject malicious sidecar containers into trusted workloads to intercept traffic, steal credentials, and maintain persistent access.
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