Secure the systems that think.
Generative AI rewrote your attack surface overnight. We secure model pipelines, defend against prompt injection and data leakage, and help your teams build AI products that are safe by design — so innovation never outpaces your security.
- Scope
- Chat, RAG, agentic systems and self-hosted models
- Frameworks
- EU AI Act, NIST AI RMF, ISO 42001, OWASP LLM Top 10
- Approach
- Adversarial red-teaming + secure development
- Deliverables
- Prioritized findings + guardrail guidance
- Re-test
- Included on every remediated finding
AI & LLM security testing — prompt injection, data leakage and model risk
Byteramp secures AI and LLM applications for Nordic teams shipping AI features — prompt-injection and jailbreak testing, RAG and agent abuse, data-leakage and guardrail review, and secure AI development (MLSecOps). Aligned to the OWASP LLM Top 10, NIST AI RMF and EU AI Act readiness, with results in the Vector platform. Based in Malmö, Sweden.
AI moves fast. Most security programs don't.
Teams ship LLM features in weeks, but the threats — prompt injection, jailbreaks, training-data leakage, model abuse — are new and poorly understood. Traditional testing misses them entirely. We bring an adversarial mindset to your AI stack, finding the failure modes before your users, your competitors or a regulator do.
We test the whole system.
Agentic workflows and retrieval pipelines, not just the model endpoint — tool abuse, indirect injection, privilege escalation.
Safe by design, not patched after.
We work with your engineers during design, when controls are cheap to add and easy to keep.
Findings, not fear.
Evidence-backed issues ranked by real exploitability — no hype, no checklist theatre.
Compliance falls out of the work.
Findings and documentation align to the frameworks you answer to, so the work doubles as evidence.
Everything the engagement includes.
Scoped to your environment and stakeholders — never a copy-paste checklist.
Prompt-injection testing
Direct and indirect injection, jailbreaks and system-prompt extraction across your chat and agentic flows.
Data leakage assessment
Probing for training-data extraction, RAG context bleed and sensitive output exposure.
Model red-teaming
Adversarial evaluation of your models against abuse, manipulation and unsafe outputs.
Secure AI development
MLSecOps practices, threat modeling for AI features and secure-by-design guidance for engineers.
Guardrail validation
Stress-testing your filters, moderation and access controls — then showing exactly where they break.
AI governance
Align with the EU AI Act, NIST AI RMF and ISO 42001, and document risk for your stakeholders.
From scoping call to verification — a clear path.
The same senior people scope, test, write and re-test. No handoff, no junior-to-senior translation gap.
Scope & threat model
Map your AI surface, data flows and the abuse cases that matter most.
// 1–3 days
Adversarial testing
Red-team models, prompts and guardrails with manual depth and Vector tooling.
// 5–15 days
Prioritized findings
Evidence-backed issues ranked by real exploitability — no CVSS noise.
// in Vector + read-out
Remediate & re-test
We guide fixes and validate them, then leave you with durable practices.
// after remediation
The things buyers actually ask.
Do you test agentic and RAG systems, not just chatbots?+
Yes. Agentic workflows and retrieval pipelines expand the attack surface significantly — tool abuse, indirect injection via retrieved content and privilege escalation. We test the full system, not just the model endpoint.
Can you work with our own fine-tuned or self-hosted models?+
Absolutely. We test commercial APIs, open-weight models and your own fine-tunes. Self-hosting changes the threat model, and we tailor the assessment accordingly.
We're early — is it too soon for an AI security review?+
The earlier the better. A short threat-modeling and secure-development engagement during design is far cheaper than retrofitting controls after launch.
How does this map to compliance like the EU AI Act?+
We align findings and documentation to the frameworks you answer to — EU AI Act, NIST AI RMF, ISO 42001 — so the work doubles as evidence for auditors and customers.
Tell us what you're building. We'll tell you what we'd secure first.
A focused call with a senior specialist. No slideware. You leave with two or three things worth doing this quarter — whether or not you work with us.