Cybersecurity
A force multiplier for security teams
The attack surface keeps expanding while talent stays scarce, so AI only helps when it amplifies analyst judgment instead of replacing it.
AI needs to move beyond "answering questions" and into problem solving: investigating, correlating, recommending, executing, and continuously improving.
Alert Fatigue
Buried in noise, teams miss true positives and security turns reactive.
Talent Scarcity
Outcomes should not depend on whether the "right person" is on shift.
Fragmented Tools
Security is a connected system of signals, actions, and accountability, not one dataset.
The Solution
An operating system for cybersecurity AI
Datafi enables organizations of any size to accelerate threat detection and response, reduce alert fatigue, scale scarce expertise, become more predictive and proactive, and communicate risk more effectively to business stakeholders.
10x
Faster Triage
AI assembles context across logs, endpoints, identity events, and cloud activity
80%
Less Noise
Intelligent clustering and enterprise-context prioritization cuts alert volume
24/7
Continuous Defense
AI agents that monitor, correlate, and escalate around the clock
Full
Audit Trail
Every investigation and decision traceable, repeatable, and governed
Threat Detection
Faster threat detection and response
When seconds matter, the bottleneck is rarely missing data. It is the time it takes to assemble context, so AI speeds the "find and frame" phase and leaves teams more room to decide and act.
Gather related signals across logs, endpoints, identity events, and cloud activity
Produce coherent incident narratives with sequence, entry points, and next steps
Generate investigation paths like an experienced analyst would
Alert Prioritization
Reduced alert fatigue through intelligent prioritization
Datafi gives AI the enterprise-specific context to rank alerts instead of scoring them generically, so analysts see fewer, better cases and never have to trust a black box.
Asset criticality and ownership context
Identity risk and privilege level scoring
Historical incident patterns and known business cycles
Duplicate clustering with "why this matters" explanations
From copilots to autonomous roles
Organizations increasingly want AI not just for isolated assistance, but for critical thinking workflow automation and analytical roles inside cybersecurity operations. For that to be safe and effective, large language models must have:
Full business context
Deep understanding of your systems, priorities, and risk posture, not generic security knowledge.
Complete data ecosystem
Access to telemetry, identity, cloud, assets, vulnerabilities, tickets, policies, and business ownership.
Safe autonomous execution
Room to execute defined tasks and escalate decisions inside governed policy boundaries.
Platform
A vertically integrated stack for cybersecurity AI
Cybersecurity is not a single dataset, a single team, or a single decision. It is a connected system. That is why a vertically integrated data and AI stack is essential.
Build
Studio
Chat UI for security investigations and non-technical stakeholders who need to make security decisions.
Learn moreGovern
Control Tower
Role-based access, governance, auditability, and policy enforcement for all AI workflows.
Learn moreRun
Runtime
Orchestrate complex, multi-step investigations from simple automations to full agent workflows.
Learn moreCyber
Cyber
Continuous risk monitoring, threat detection, and safe execution so AI operates within enforceable boundaries.
Learn moreFrom experimentation to operational impact
Transformative outcomes do not come from a model alone. They come from enabling AI to act on data, securely, responsibly, and at enterprise scale.
Faster Detection & Response
Faster triage and containment, with humans still in control of high-impact actions.
Reduced Alert Noise
Fewer, higher-confidence cases for review, each with the "why this matters" already surfaced.
Measurable ROI
Lower cost per incident and expert time freed for higher-value work.
Ready to move from experimentation to operational impact?
Datafi helps security teams solve problems by reducing risk faster, scaling expertise further, and improving security decision-making across the enterprise.