Tal Moriah

settembre 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

agosto 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

agosto 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

agosto 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.

La sicurezza del cloud si riferisce a un insieme di criteri, controlli, procedure e tecnologie che lavorano insieme per proteggere i sistemi, i dati e l'infrastruttura basati sul cloud.

Shaked Rotlevi

agosto 27, 2026

Cloud Security Posture Management (CSPM) descrive il processo di rilevamento e correzione continui dei rischi negli ambienti e nei servizi cloud (ad esempio bucket S3 con accesso di lettura pubblico). Gli strumenti CSPM valutano automaticamente le configurazioni cloud rispetto alle best practice del settore, ai requisiti normativi e alle policy di sicurezza per garantire che gli ambienti cloud siano sicuri e gestiti correttamente.

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

agosto 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.

La gestione delle vulnerabilità comporta l'identificazione, la gestione e la correzione continue delle vulnerabilità negli ambienti IT ed è parte integrante di qualsiasi programma di sicurezza.

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

agosto 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.