A language model trained on security work,
not the internet.

Built for one domain, and good at it.

Milind AI is not a general-purpose chatbot and not a wrapper around someone else's model. It is a small language model trained for the work we have done since 2017: digital forensics and incident response, security operations, vulnerability assessment, penetration testing and security consulting. It knows what a process-injection chain looks like, reads a packet capture, recognizes a malicious PowerShell loader and writes an investigation note the way a senior analyst would.

It was trained on real engagement material, investigation notes, report structures and the reasoning of senior practitioners, all de-identified and properly authorized. No customer data is used for training, and customer environments are fully isolated. Because it is small, it runs in private and air-gapped environments where large general models are not an option. It is the engine behind the 36 AI employees of MSOC.

• Reconstructs timelines from mixed log sources and extracts indicators from malware behaviour
• Triages alerts in plain language, writes SIEM queries from a hypothesis and drafts shift handoffs
• Prioritizes scanner findings by real exploitability and writes remediation engineers act on
• Reasons about attack paths and drafts penetration test narratives and report sections
• Translates technical findings into board-level risk, with Canadian regulatory context
• Keeps every output reviewable and auditable, with human oversight at each decision point