Industries · AI-Native Startups
The offensive security backbone for AI-native startups running LLM, RAG, and agent-driven stacks. Findings arrive pre-verified so the engineering team stays focused on shipping instead of adjudicating probabilistic scanner output.
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 deterministic exploit evidence for prompt injection, data exfiltration, and tool-use abuse so AI governance committees work from replayable 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 replayable evidence bundle — so security review teams spend the audit window exporting artifacts 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 isolationCanary-based taint with comprehensive 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. Our verifier confirms every exploit before it reaches a ticket so the engineering backlog stays credible.
Open Deterministic PoCs engineers 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 teamsRead the LLM-driven exploit chains post for a deeper tour of how Pentrova thinks about this stack, or 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.
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