Red.
Obvix Red is our adversarial testing system - currently in internal development. It's what we use to stress-test AI systems before anyone else touches them.
Solutions
Your systems, stress-tested
We break things so you don't have to. From traditional infrastructure pentesting to adversarial AI red-teaming, our security work covers the full surface - classical and generative.
Most AI companies can't pentest. Most security firms can't red-team an LLM. We do both.
Security teams deploy our tooling and methodology to find vulnerabilities across their entire stack - from traditional infrastructure to LLM-powered features. We built Obvix Red for AI-specific adversarial testing, and we bring the same rigor to classical pentesting and architecture review.
Whether you're shipping a SaaS product, deploying an AI agent, or preparing for a compliance audit - we stress-test the system and hand you a report with actionable fixes, not theoretical warnings.
Full-stack coverage
Four layers. One team.
Infrastructure
Networks, servers, cloud configs, IAM policies
Classical pentestApplication
Web apps, APIs, auth flows, session management
AppSec reviewAI / LLM
Prompt injection, jailbreaks, tool-misuse, persona-vector attacks
Obvix RedGovernance
EU AI Act, OWASP Top 10, NIST, SOC 2 mapping
Compliance testingCapabilities
What we test
01
Penetration testing
Classic infrastructure, web app, API, and network pentests. Finding vulnerabilities in your stack before attackers do.
02
AI red-teaming
Adversarial testing of LLMs, agentic systems, and AI-powered features. Prompt injection, jailbreaks, tool-misuse, persona-vector attacks.
03
Security architecture review
Assessing how your systems are built - auth flows, data handling, API boundaries, privilege escalation paths.
04
Threat modeling
Mapping your attack surface before building, not after. What can go wrong, how likely is it, how bad would it be.
05
Compliance testing
Testing against regulatory frameworks - EU AI Act, OWASP Top 10, NIST, SOC 2 requirements.
Obvix Red - a purpose-built adversarial testing system currently in internal development. We'll be publishing our findings in upcoming research.
Founded at the intersection of ML and penetration testing
Find it before they do
Whether you're shipping a SaaS product, deploying an AI agent, or preparing for a compliance audit.