AI and LLM pentest
Chatbots, assistants and agents attacked the way a real adversary would.
- Prompt injection and jailbreaks
- Data and system-prompt leakage
- Tool and agent abuse, RAG poisoning
AI security
Adopt AI securely. Then put it to work for your security.
AI is a new attack surface and a new defensive tool. We test and govern the AI you deploy, and we automate the security controls your team cannot keep up with.
Security for your AI
Before your chatbot or agent reaches customers.
Secure AI architecture
Review of how your models, data and permissions connect before it reaches production.
- Least privilege for agents and tools
- Data boundaries for RAG and integrations
- Logging and monitoring of model use
AI governance and policy
Rules for how your people use AI, aligned with the frameworks auditors are starting to ask for.
- Acceptable-use policy and data classification
- Which data can go to which model
- ISO/IEC 42001 and NIST AI RMF alignment
AI for your security
Controls that run on their own.
Targeted automation of the security work that does not scale by hand: alerting, scanning, anomaly detection and compliance evidence.
| Company size | Scope |
|---|---|
| Small1–50 employees | 1–2 use cases: AI alerting, automated scanning |
| Mid-size50–250 employees | 3–5 use cases: threat hunting, behavioral IAM, anomalies |
| Enterprise250+ or regulated | AI SOC-lite, compliance automation, SIEM integration |
Typical automation cases
- AI alerting on logs and endpoints
- Automated vulnerability scanning
- Anomaly detection on access and traffic
- Behavioral IAM
- Compliance evidence automation (ISO 27001, SOC 2, SUGEF)
- SIEM integration and AI-assisted triage
Want your team to learn to work with AI safely? See our technical tracks.
Talk to us about AI