
11 - 50 employees
Founded 2024
🔒 Cybersecurity
🤖 Artificial Intelligence
☁️ SaaS
🔥 Funding within the last year
💰 Private equity on 2025-11
Cybersecurity • Artificial Intelligence • SaaS
Conifers. ai is an agentic AI cybersecurity company that provides CognitiveSOC™, a SaaS platform that automates and accelerates the full security operations center (SOC) lifecycle. The platform embeds institutional knowledge from a customer’s environment and coordinates specialized AI agents for threat intelligence, hunting, detection engineering, investigation, and automated response/remediation across SIEM, EDR, cloud, identity, and network tools. Conifers emphasizes machine-speed defense, explainability (a “glass box”), fast onboarding (2–4 hours), multi-tenant enterprise and MSSP scale, and options for human-in-the-loop or fully autonomous operation.
🔥 17 minutes ago
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11 - 50 employees
Founded 2024
🔒 Cybersecurity
🤖 Artificial Intelligence
☁️ SaaS
🔥 Funding within the last year
💰 Private equity on 2025-11
Cybersecurity • Artificial Intelligence • SaaS
Conifers. ai is an agentic AI cybersecurity company that provides CognitiveSOC™, a SaaS platform that automates and accelerates the full security operations center (SOC) lifecycle. The platform embeds institutional knowledge from a customer’s environment and coordinates specialized AI agents for threat intelligence, hunting, detection engineering, investigation, and automated response/remediation across SIEM, EDR, cloud, identity, and network tools. Conifers emphasizes machine-speed defense, explainability (a “glass box”), fast onboarding (2–4 hours), multi-tenant enterprise and MSSP scale, and options for human-in-the-loop or fully autonomous operation.
• Own technical discovery of the customer’s security environment, operational challenges, stakeholders, and decision criteria • Partner with Account Executives to build an evaluation plan and maintain technical momentum throughout the sales cycle • Deliver tailored demonstrations connecting Conifers’ capabilities to customer workflows and priorities • Lead proofs of value with clear scope, measurable success criteria, timelines, and responsibilities • Guide integrations and troubleshoot permissions, APIs, data availability, and configuration issues during evaluations • Review investigation results with analysts and security leaders, explaining evidence, conclusions, and remaining gaps • Turn evaluation findings into a clear technical and business case, address objections, and communicate results to decision-makers • Coordinate technical questionnaires and security reviews, bringing in internal specialists when needed • Provide customer feedback to Product and Engineering and improve reusable demos, guides, and evaluation materials • Maintain trusted technical relationships after the sale with onboarding and support teams
• Background combining hands-on cybersecurity work with customer-facing technical responsibility, often representing 4 or more years of relevant experience • Experience leading customer demonstrations, technical workshops, or proofs of concept, with clear examples of ownership and results • Practical understanding of alert triage, investigation, escalation, and incident response • Hands-on depth in at least one major SIEM, EDR/XDR, SOAR, or comparable security platform, with ability to learn unfamiliar tools • Comfort troubleshooting REST APIs, JSON, authentication, permissions, and data flow • Ability to explain technical findings clearly to practitioners, SOC managers, and business stakeholders • Good judgment about evidence, uncertainty, and when to involve a specialist • Discipline to manage customer commitments, document decisions, and keep multiple evaluations moving • Curiosity about AI and practical interest in applying it responsibly to security operations • Experience working in an MSSP or MDR environment, moving from security operations, implementation, or technical account management into presales, writing Python/PowerShell/Bash scripts, building security automation/integrations/technical demonstrations, or using and validating AI tools would help
• Equal opportunity employer • Diversity-valuing workplace
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