Conifers.ai Launches Innovative AI Program to Boost MSSP Efficiency and Profitability

Conifers.ai Launches New Program to Support Managed Security Service Providers

Conifers.ai, an AI platform focused on security operations, has introduced a program specifically for managed security service providers (MSSPs). This initiative combines advanced AI features, innovative multi-tenancy, and competitive pricing to help MSSPs enhance service delivery, scale efficiently, and improve profitability.

As cyber threats become more persistent and sophisticated, MSSPs and managed detection and response (MDR) teams face growing pressure to respond quickly and accurately while expanding their business. Conifers addresses these challenges with a phased onboarding approach, smooth integration, and transparent pricing, enabling providers to meet client expectations without overextending resources.

Accelerate Incident Response with Conifers CognitiveSOC™

The Conifers CognitiveSOC™ platform supports managed SOC teams by handling complex security incidents with speed and precision. It continuously collects incident data and utilizes tenant-specific knowledge to deliver deep, contextual investigations for each client. Its centralized tenant management and nested multi-tenancy allow MSSPs to grow their customer base effortlessly, integrating with any existing technology stack.

Strategic dashboards offer actionable insights, translating investigation results into clear business outcomes. This allows SOC and MDR teams to be proactive, cover more incidents, reduce resolution times, and focus on higher-level security tasks.

• Handles security incidents from basic to complex tiers, unlike competitors focusing mainly on low-tier issues.
• Reduces investigation times by up to 87%, freeing analysts for more critical work.
• Enables MSSPs to support more customers without increasing resources, boosting margins and competitiveness.

Key Advantages for MSSPs

• Expand contracts with multi-tier service options and broad security product support.
• Improve client retention and increase revenue by delivering consistent, accurate incident resolutions.
• Boost productivity and efficiency through AI-driven multi-tenancy features.
• Measure real impact and risk reduction to demonstrate clear ROI, aiding retention and growth.
• Benefit from predictable, MSSP-friendly pricing to enhance profit margins.
• Seamlessly integrate with current tools and workflows.
• Onboard multiple customers smoothly with dedicated, white-glove MSSP support.

Conifers recently appeared as a Sample Vendor in Gartner’s report on emerging MDR trends, highlighting the growing role of AI in managed detection and response.

Agentic AI: Enhancing MSSP Efficiency and Accuracy

Industry experts emphasize how Conifers’ platform improves operational quality by managing multiple tenants with their own baselines and knowledge bases. This approach cuts investigation time significantly while maintaining thoroughness.

Reducing alert noise without missing real threats is a critical balance. Conifers’ AI eliminates this trade-off by maintaining comprehensive detection while enabling deep, high-quality investigations for fast, precise incident responses.

One MSSP leader noted that Conifers replaces alert overload and the need for scaling analyst headcount with AI that acts contextually, scales expertise, and adapts in real time. This shift results in faster, smarter, and more accurate security outcomes for every client.

To learn more about the Conifers CognitiveSOC™ program for MSSPs, visit their official website.

About Conifers.ai

Conifers.ai offers an AI-native platform focused on improving security operations centers (SOCs) for enterprises and MSSPs. Their agentic AI technology supports investigation of complex, multi-tier incidents at scale with confidence and efficiency. Backed by experienced industry leaders and venture capital, Conifers provides a structured implementation framework and patented architecture that builds trust in AI, delivering measurable returns and operational improvements.