The AI SOC agents platformthat uses
your assetsrisk-tolerancebusiness-patternsprocessesassets
Transform your SOC with a true force multiplier for MSSPs and enterprises.
How do our AI SOC agents work?
Our AI SOC agents platform, Conifers CognitiveSOC™, uses adaptive learning, deep understanding of institutional knowledge, and a telemetry pipeline to help SOC teams solve the multi-tier problems at scale.
And we do this with maximum accuracy, environmental awareness, and cost-effectiveness in an easy-to-deploy, non-disruptive solution.
Stage 1/6
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Use Case classification + Institutional Knowledge
Initiating investigation plan
Investigation, enrichment, and analysis
Incident resolution
Sending results back to ticketing system
Telemetry feedback loop
Visibility into strategic analytics and KPIs
Conifers' strategic dashboard give you insight into:
Investigation quality
Response proactiveness
Overall risk reduction
All you need in an AI SOC Platform
More effective, efficient, consistent and accurate results: Problem-driven, multi-model analytic approach (LLM, SLM, ML, statistical analysis, static analysis) to solving challenges that is fined-tuned to your organization. More granular, contextual investigations based on ingestion and real understanding of institutional knowledge.
Easy to deploy, non-disruptive: integrates with, augments, and enhances your existing team, tools, processes and portals.
Increased accuracy and consistency of results: Adaptive risk-based decision-making eliminates bad behavior at-scale. Robust feedback loop refines detections for higher accuracy and reduced noise.
Staged implementation framework means you can roll out the technology at your pace, and hand over more control when you feel confident to do so.
How Conifers Handles Every SOC Incident
Incident detected
Stage 1/4
Your security tool detects and alerts on an incident and creates a ticket in your existing ticketing system.
Conifers receives the event directly from your ticketing system—no workflow disruption, no new ticketing system required.
Conifers gets the event. Our AI-driven platform pulls in data from multiple sources to investigate the incident:
SIEM queries
Runs additional queries in your SIEM to gather more context.
Historical tickets
Reviews past tickets to identify patterns or recurring issues.
Knowledge base
Applies known remediation steps or reference materials.
Threat intelligence
Queries integrated with threat intel feeds.
Enrichment data
Fetches contextual telemetry from EDR & identity platforms.
Conifers autonomously determines whether the event is a:
False Positive - No threat detected
Ticket can be safely closed automatically
True Positive - Real threat
Investigation is documented and ticket is escalated to the SOC team for action
Incident detected
Your security tool detects and alerts on an incident and creates a ticket in your existing ticketing system.
Event ingestion - ticket created
Conifers receives the event directly from your ticketing system—no workflow disruption, no new ticketing system required.
Conifers investigation begins
Our AI-driven platform pulls in data from multiple sources to investigate the incident:
SIEM queries
Historical tickets
Knowledge base
Threat intelligence
Enrichment data
Investigation completed
Conifers autonomously determines whether the event is a:
Threat intelligence
No threat detected, ticket can be safely closed automatically
True Positive
Real threat; investigation is documented and ticket is escalated to the SOC team for action
Conifers updates the original ticket with detailed investigation notes and verdicts — no need to switch platforms or workflows.
Flexibledeployment options
Side-by-side mode
Run Conifers in parallel with your existing processes for validation.
Full production mode
Automate false positive closure and streamline triage, while surfacing only true positives to your analysts.
What questions do you need to ask when evaluating AI technologies for your SOC?
