Tal Moriah

9월 8, 2026

AI detection and response (AIDR) is a security capability that monitors your AI systems, prompts, agents, models, and the data pipelines feeding them, then acts when something goes wrong.

Offensive security is a proactive way to test defenses by attacking your own systems the way a real adversary would.

AI data integration is the use of machine learning, natural language processing, and large language models to automatically connect, clean, map, and move data from many sources into a single, unified view.

Code review is the practice of having someone other than the author read a code change before it merges.

Purple teaming is a collaborative validation loop: emulate a realistic procedure, observe what the defensive stack sees, improve the control, and retest.

Allison Jackson

8월 28, 2026

AI cost management is the practice of tracking, attributing, optimizing, and governing spend across the entire AI lifecycle, including managed inference APIs, self-hosted GPU compute, vector data pipelines, and model fine-tuning

Penetration testing finds exploitable weaknesses; red teaming measures whether attackers can turn those weaknesses into real attacks before your teams detect and stop them.

API sprawl becomes a security risk when API creation outpaces inventory, ownership, and lifecycle controls.

Red teaming evaluates how well your organization detects, contains, and responds to realistic attacks by using ethical hackers to pursue specific objectives.

Allison Jackson

8월 27, 2026

API discovery is the process of finding, mapping, and cataloging every single API across your entire digital estate, including your public-facing cloud accounts and your on-premises data centers.

Business logic vulnerabilities are flaws in how an app enforces its own rules, letting attackers misuse valid features. See the types, examples, and prevention.

Shaked Rotlevi

8월 27, 2026

In this article we'll cover a tried-and-true governance strategy, a practical five-layer operating model, and guidance on how to operationalize it using the right people, processes, and platforms.

클라우드 보안은 클라우드 기반 시스템, 데이터 및 인프라를 보호하기 위해 함께 작동하는 일련의 정책, 제어, 절차 및 기술을 의미합니다.

Shaked Rotlevi

8월 27, 2026

CSPM(Cloud Security Posture Management)은 클라우드 환경 및 서비스(예: 공용 읽기 액세스 권한이 있는 S3 버킷)에서 위험을 지속적으로 감지하고 수정하는 프로세스를 설명합니다. CSPM 도구는 업계 모범 사례, 규정 요구 사항 및 보안 정책에 따라 클라우드 구성을 자동으로 평가하여 클라우드 환경이 안전하고 적절하게 관리되도록 합니다.

eBPF provides deep visibility into network traffic and application performance while maintaining safety and efficiency by executing custom code in response to the kernel at runtime.

Ziad Ghalleb

8월 24, 2026

SAST (Static Application Security Testing) analyzes custom source code to identify potential security vulnerabilities, while SCA (Software Composition Analysis) focuses on assessing third-party and open source components for known vulnerabilities and license compliance.

취약성 관리에는 IT 환경의 취약성을 지속적으로 식별, 관리 및 수정하는 작업이 포함되며 모든 보안 프로그램의 필수적인 부분입니다.

IDOR (insecure direct object reference) is an access control flaw that leaks data when apps skip authorization checks. See how IDOR works and how to prevent it.

Allison Jackson

8월 21, 2026

AI tokenomics, short for “token economics,” is the study and management of how large language models (LLMs) and other generative AI systems produce, price, and consume tokens.