Sep 28, 2026 · 10 min read
Resources and insights
News and research on cloud attack patterns, AI advancements, and real-world security validation.
AI Pentesting vs. AI Exploit Validation: A Cloud Guide
AI pentesting finds problems. Cloud exploit validation proves which ones an attacker can actually exploit. The difference security leaders should hold vendors to.
What Is Frontier AI Security? A Practitioner's Guide
Frontier AI security means protecting advanced AI systems and defending against attackers who weaponize them. What it covers, the risks, and where to start.
What Is Exploit Validation? Types & How It Works
Exploit validation proves which weaknesses an attacker can actually exploit, with reproducible evidence. Cloud and AI exploit validation, explained.
Compose Custom Cloud Attack Validation Chains with ATTACKSTUDIO™
ATTACKSTUDIO is a visual builder for custom cloud attack chains. Drag modules onto a canvas, launch against AWS, and watch each node execute live.
Blast Radius Analysis Traces What an Attacker Can Reach from Any Foothold
Blast Radius Analysis maps and validates real cloud attack paths from any foothold, identity, or crown jewel so you prioritize by consequence, not a flat findings list.
Comprehensive Continuous Testing Validates Cloud Exposure Inside and Out, as It Changes
Comprehensive continuous testing validates cloud exposure from outside-in and inside-out as infrastructure, identities, and permissions change, so you know what is exploitable today.
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Configurable Evasion Engine: Testing Whether Your Cloud Detection Catches a Real Attacker
Cut thousands of cloud alerts down to the handful an attacker can actually use. Cloud exploit validation executes each path and proves which ones work.
Generative Attack Engine: AI Cloud Security Testing That Attacks Like a Real Attacker
Compose and execute real attack paths in your cloud with OFFENSAI Generative Attack Engine, proving what an attacker can reach. AI cloud security in 2026.
A Security Analysis of Amazon S3 Vectors and Its Use in LLM Retrieval Pipelines
An analysis of the security model of Amazon S3 Vectors and of the considerations that arise when it is used as the retrieval layer for LLM applications: access control scope, input validation, metadata integrity, and audit coverage.
Jul 29, 2026 · 15 min readbyIoan Criste & Emanuel Ioniță
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