Learn how AWS penetration testing validates exploitable weaknesses in workloads, IAM, and configurations, then turns findings into fixes engineers can ship.

AI infrastructure is the hardware, software, and networking used to build, train, and run AI models. Learn its core components, benefits, and security.

# Meta Description Agentic AI use cases explained: how autonomous AI agents work across customer service, IT, finance, and cybersecurity, plus the new security risks to manage.

Agentic AI vs generative AI: generative AI creates content from prompts, while agentic AI plans and takes multi-step actions on its own. See the key differences.

The A2A protocol is an open standard that lets independent AI agents discover each other and coordinate tasks. Learn how it works and how to secure it.

AI code review uses AI to flag bugs and security flaws in pull requests before they merge. Learn how it works, its benefits, limits, and best practices.

Tal Moriah

September 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

August 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

August 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

August 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.

Cloud security refers to a set of policies, controls, procedures, and technologies that work together to protect cloud-based systems, data, and infrastructure.