AI Development for
Cybersecurity.
Security teams drown in alerts. AI triage is the only realistic answer — but it must be deterministic enough to trust. Vedwix builds ai development for Cybersecurity companies — with the compliance posture, KPI awareness, and operational shape your category demands.
Brief us on AI workWhat we know about Cybersecurity.
- SOC 2
- ISO 27001
- FedRAMP
- NIS2
- Mean time to detect
- False positive rate
- Coverage of MITRE ATT&CK
- Alert fatigue
- Tool sprawl
- Talent shortage
Three use cases we ship.
Detection-engineering AI
We build AI features that ship to real users — not demos. For cybersec, that means designing for SOC 2, measuring against Mean time to detect, and avoiding the alert fatigue that plague the category.
Phishing-email triage agents
We build AI features that ship to real users — not demos. For cybersec, that means designing for SOC 2, measuring against Mean time to detect, and avoiding the alert fatigue that plague the category.
Vulnerability summarization
We build AI features that ship to real users — not demos. For cybersec, that means designing for SOC 2, measuring against Mean time to detect, and avoiding the alert fatigue that plague the category.
AI Development,
cybersec-aware.
We don't pretend every project is the same. Cybersecurity has its own compliance, KPIs, and unwritten rules. We bring those in from day one.
Start a projectWhat you get.
- RAG system with hybrid search
- Eval harness + observability
- Agent orchestration
- Fine-tuning + serving
- Internal AI tooling
We build AI features that ship to real users — not demos. RAG systems with hybrid retrieval, agents with structured outputs, fine-tuned small models, and eval harnesses that measure quality before and after every change.
Examples of Cybersecurity companies in this space: CrowdStrike, Wiz, SentinelOne.