
Coordinated AI agents running the full SOC lifecycle on the existing security stack.
CognitiveSOC Overview
What it does
CognitiveSOC is an agentic AI platform for the security operations center (SOC) that runs the full detection-and-response lifecycle (threat intelligence, hunting, detection engineering, investigation, and remediation) as five coordinated autonomous agents rather than isolated Tier-1 triage bots. Its distinguishing mechanism is a single operating fabric grounded in each customer's institutional knowledge, including historical investigations, analyst behavior, and operational risk tolerance, so every agent's output becomes the next agent's input and investigations stay contextual rather than bound to preset playbooks.
How it works
The platform sits on the existing security stack, connecting through a semantic layer to more than 60 SIEM, EDR, identity, cloud, network, email, and threat-intelligence tools with no data migration and a two-to-four-hour onboarding. Five agents run in a closed loop where each output feeds the next: the Threat Intelligence Agent maps actors to the environment, the Threat Hunting Agent runs scored hypotheses, the Detection Engineering Agent tracks rule health, the Investigation Agent produces decision-ready storyboards with verdicts, and the Remediation Agent generates scoped response plans. 'Ask Conifers' adds a natural-language interface across every stage.
Credentials and traction
SOC 2 Type II and ISO/IEC 27001 certified. Gartner named Conifers the 'Company to Beat' in AI SOC Agents for threat investigation in a December 2025 report and lists it as a Sample Vendor in the Hype Cycle for Security Operations. Named customers include managed security service providers (MSSPs) AMSYS, OneSecure, and Critical Start, alongside a Fortune 500 financial services SOC. The platform targets enterprise security teams and MSSPs.
Key Capabilities
At a glance
- Deployment
- Private Cloud · SaaS
- Compliance
- GDPR · ISO 27001 · +1
- Integrations
- 43 tools
- Support
- Email Support
Info last updated on October 9, 2026
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