الأمن السيبراني· CYBERSECURITY
Rasidراصد
LLM-and-agent-driven detection that triages alerts and automates response.
Detection engineering, alert triage, and response automation built on LLMs and agentic models — so most alerts are resolved before an analyst ever sees them.
العين الساهرة لا تفوّت خطرًا
“The watchful eye misses no danger.”
What Rasid does
Agentic alert triage
An AI agent investigates each alert, gathers context, and recommends or takes action.
Explainable decisions
Every auto-closed or escalated alert shows its reasoning and confidence score.
False-positive reduction
Detection engineering tuned continuously against your own environment’s noise.
Human-in-the-loop escalation
Low-confidence or high-impact alerts always route to a human analyst.
Response automation
Known-safe actions — account lockout, IP block — execute automatically with full audit logging.
Sovereign, auditable by design
Every agent decision is logged and reviewable, hosted in-Kingdom.
See Rasid in action
An early UX walkthrough of the product, designed bilingually from day one.
Detection dashboard
Alert triage board
How it works
Ingest alerts
Alerts stream in from EDR, SIEM, and network sensors in real time.
Agent investigates
The agent gathers context and reaches a decision with a confidence score.
Act or escalate
High-confidence, low-risk alerts close automatically; the rest go to an analyst.
Learn and improve
Analyst feedback on escalations continuously improves detection accuracy.
Let agents handle the alerts your team can’t get to
We're selecting design-partner security operations teams for the first pilot cohort. Book a briefing to see the product and discuss fit.
Request a Pilot