Tal Moriah

9月 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

8月 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

8月 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

8月 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.

クラウドセキュリティとは、クラウドベースのシステム、データ、インフラストラクチャを保護するために連携する一連のポリシー、制御、手順、およびテクノロジーを指します。

Shaked Rotlevi

8月 27, 2026

クラウド セキュリティ ポスチャ管理 (CSPM) は、クラウド環境とサービス (パブリック読み取りアクセスのある S3 バケットなど) のリスクを継続的に検出して修復するプロセスを表します。CSPM ツールは、業界のベスト プラクティス、規制要件、セキュリティ ポリシーに照らしてクラウド構成を自動的に評価し、クラウド環境が安全で適切に管理されていることを確認します。

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

8月 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.

脆弱性管理には、IT環境の脆弱性を継続的に特定、管理、修復することが含まれ、あらゆるセキュリティプログラムに不可欠な部分です。

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

8月 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.