The days of simple, signature-based attacks are largely behind us as cyber threats have become increasingly sophisticated. As a result, businesses are (rightfully) demanding more rigorous and rapid responses from their security partners to repel threat actors deploying complex, multi-stage campaigns, leveraging advanced persistent threats (APTs), polymorphic malware that constantly changes its form to evade detection, and fileless attacks that exploit legitimate system tools. All these attack methods have become incredibly difficult to spot with traditional cybersecurity defenses.
Adding fuel to this fire, attackers are also now integrating AI into their arsenals. They use AI to automate reconnaissance, identify vulnerabilities in target networks, craft highly personalized and convincing phishing emails at unprecedented scale, and even rapidly adapt their attack techniques in real-time based on defensive reactions. This AI-powered adversarial capability means attacks are not only more complex, but also executed with machine speed and precision, creating a significant asymmetry between the attacker and traditional defenses.
What it means is that MSSPs and MSPs getting paid to protect their clients’ digital footprints find themselves under immense pressure to deal with these sophisticated attacks. They are tasked with sifting through an overwhelming volume of alerts – many of which are false positives generated by their security tools – while simultaneously investigating increasingly intricate, multi-stage incidents that require correlating data across numerous systems. This challenge is compounded by a persistent cybersecurity talent shortage, making it difficult for these providers to hire and retain enough skilled analysts to handle increasing workloads.
The pressure to deliver faster and more accurate services is constant, yet traditional, largely manual or rules-based approaches struggle to keep pace with the sheer velocity and adaptability of AI-driven threats. It leads to strained resources, burnout, and limited scalability in terms of an ability to effectively protect a growing number of clients.
Conifers.ai, a company applying agentic AI to security operations, seeks to solve that challenge with its new program for MSSPs leveraging it AI-native Conifers CognitiveSOC platform, which it says will dramatically reduce end-to-end security investigation times by up to 87%, enabling MSSPs to achieve unprecedented levels of scalability, efficiency, and profitability. The new MSSP program is built to directly address common pain points through a strategic blend of agentic AI technology, a phased onboarding process, seamless integration capabilities, and competitive, predictable pricing. It’s core promise is to transform MSSP service delivery, allowing them to innovate, scale their support for more customers with less financial impact and, ultimately, enhance their margins and the quality of services provided.
“We designed our patent-pending agentic AI platform to boost their effectiveness and efficiency with high-quality investigations so they can meet demand head-on, delivering excellence for customers and accelerating business growth,” said Tom Findling, co-founder and CEO of Conifers.
The Conifers CognitiveSOC platform was developed with the unique operational needs of service providers in mind. It empowers managed SOC teams to tackle complex, multi-tier security incidents with speed, accuracy, and confidence. The platform continuously ingests security incidents from various sources and, in conjunction with tenant-based institutional knowledge, performs deep, contextual investigations tailored for each client environment.
“With Conifers it’s possible to maintain comprehensive detection coverage while conducting deep, high-quality investigations, ensuring faster and more accurate responses to incidents.” — Randy Watkins, CTO, Critical Start
Crucially, Conifers addresses incidents across all tiers of complexity – from basic Tier 1 alerts to the most complex Tier 3 investigations – a key differentiator from those providers that only focus on lower-tier issues. By reducing end-to-end investigation times by up to 87%, Conifers says it not only solves complex incidents faster, but also frees up valuable analyst time currently spent on triage and investigation processes, enhancing both SOC effectiveness and efficiency.
For service providers, this dramatic increase in efficiency translates directly into scalability. The ability to handle more clients and a higher volume of incidents without proportionally increasing personnel or resources directly improves margins and strengthens competitiveness in the market.
“The Conifers platform’s ability to manage dozens of tenants, each with its own baseline and customer-specific knowledge base, has significantly improved the quality of our operations, reducing investigation times in a way that’s both efficient and effective.” — Rutger de Boer, CTO at Dutch Technology eXperts
Agentic AI is rapidly becoming critical for cybersecurity success because it moves beyond simply analyzing data or generating responses based on prompts. Rather, it possesses agency – it can autonomously act, make decisions, and execute tasks. In a modern threat landscape characterized by machine-speed attacks and sophisticated, AI-driven adversarial techniques, this capability will quickly become indispensable. The ability to operate with a degree of independence and adapt in real-time is essential for keeping pace with rapidly evolving threats, significantly reducing the time it takes to detect and neutralize attacks, freeing up human analysts for higher-level strategic tasks, and ultimately providing a more resilient and scalable defense against the increasingly automated and intelligent adversary.
“Conifers is transforming how we run our SOC. Instead of drowning in alerts or hiring more analysts, we now have agentic AI that acts with context, scales our expertise, and adapts in real time. It’s more than what automation provides—it’s intelligence we can trust.” — Edmund How, Founder & CEO, ONESECURE
The Conifers MSSP program offers a range of specific benefits designed to drive business growth and expand profit margins:
- Expand customer contracts: Enables MSSPs to offer multi-tier service levels and support a wide variety of security products, increasing the potential scope and value of customer engagements.
- Improve retention and increase revenue: Enhanced accuracy and consistency in incident resolution lead to more predictable security outcomes for clients, improving retention and creating opportunities for revenue growth.
- Business growth: Increasing productivity and efficiency through unique multi-tenancy features and the intelligent application of agentic AI allows MSSPs to onboard and manage more customers.
- Demonstrable ROI: The platform improves the ability to measure real impact and quantifiable risk reduction for customers, which is critical for proving value, enhancing retention, and supporting expansion efforts.
- Expanded profit margins: Predictable, MSSP-friendly pricing eliminates cost uncertainties and allows service providers to forecast and expand profit margins more easily.
- Seamless integration: Conifers facilitates seamless integration with existing security tools and operational processes within MSSPs’ tech stacks.
- Effortless customer onboarding: Conifers provides dedicated, white-glove support for MSSPs to onboard multiple customers smoothly and at their own pace.
By empowering managed SOC teams with agentic AI to perform faster, more accurate, and more comprehensive investigations, Conifers.ai offers MSSPs the tools necessary to overcome current operational challenges, accelerate their business growth, and achieve SOC excellence for their customers.
Edited by
Erik Linask
