Industries · AI-Native Startups
The offensive security backbone for AI-native startups running LLM, RAG, and agent-driven stacks. Findings arrive already confirmed by AI review of captured evidence, so the engineering team stays focused on shipping instead of adjudicating scanner noise.
High-risk AI systems under the EU AI Act and AI systems governed by the NIST AI Risk Management Framework must demonstrate technical robustness against adversarial inputs. Pentrova produces evidence captured from your target for prompt injection, data exfiltration, and tool-use abuse findings, so AI governance committees work from confirmed findings and attack chains instead of threat-model narratives.
Enterprise buyers bring ISO 27001 and ISO/IEC 42001 expectations to AI-native vendors too. Every Pentrova engagement ships a compliance-mapped report — every finding tagged to the relevant ISO 27001:2022 controls alongside the captured exchange that proves it — so security review teams spend the audit window citing findings rather than re-running pentests.
Pentrova parses OpenAPI and GraphQL contracts for LLM inference, vector search, and RAG orchestration surfaces so every endpoint is exercised under the auth mode production actually uses.
Open Coverage across LLM and RAG endpointsA curated catalog of escalation chains plus dynamic LLM chains keeps up with weekly model rollouts; the chain inventory refreshes on every scan so coverage tracks the code, not the calendar.
Open Attack Chains built for fast-moving stacksCross-role replay catches the tenant-isolation and prompt-injection breaks that let one customer reach another customer’s data or context window.
Open Authorization Matrix for tenant & prompt isolationSource-to-sink analysis with React, Angular, and Vue sink coverage surfaces unsafe rendering paths in AI chat UIs where model output is rehydrated into the DOM without sanitisation.
Open DOM XSS Taint for AI chat UIsWhen the team ships a new model weekly, noise is fatal. Every finding is confirmed by AI review of evidence captured from your target before it reaches a ticket, so the engineering backlog stays credible.
Open Evidence engineers can trustShip findings to Slack, GitHub Actions, GitLab CI, and Microsoft Teams so fixes land on the same cadence as feature work.
Open Integrations for fast-moving teamsFor a deeper tour of how Pentrova thinks about this stack, open the API Pentesting reference.
Prompt-injection chains, retrieval poisoning, agent-tool abuse, and the ISO/IEC 42001 evidence enterprise buyers ask for are first-class on the platform. Sign up, configure a target with sample tenants and roles, and run the first pentest. The platform produces the evidence autonomously.
Next step
Book a walkthrough tailored to your compliance requirements and threat landscape.
