AI-driven cyberattacks are overwhelming even elite security teams. As organizations face a severe shortage of talent, they are turning to managed security service providers for help. This shift presents a significant opportunity for MSSPs, but it also demands that you consistently prove you offer a more effective defence to win and keep their business.
A typical analyst in the SOC team spends about 25% of their time chasing false positives—sifting through erroneous security alerts or false indicators of confidence—before they can tackle real findings. That means that every hour an analyst spends on the job, they're wasting 15 minutes on false positives.
This signals a critical problem of alert overload, along with ever-rising false positives. SOC teams face an insurmountable number of alerts, and if most of them are false positives, the real alerts tend to slip by, wreaking havoc. Primarily for security providers, this catastrophic problem grows tenfold with every customer and rising account. At one point, what does growth come at the cost of?
- With every new customer, an MSSP/MDR tends to ask themselves:
- Will it overburden my analysts?
- Do we have the workforce to cover all their alerts?
- How will we manage new detection tools?
- How many training hours are needed to learn the new tools for the new customer?
... and many more.
The search for a new SOC analyst is a marathon, not a sprint. On average, it takes seven months to fill a vacant seat, and for 15% of leaders, that timeline extends to a gruelling two years or more. All the while, the clock is ticking, and gaps in your defense widen. Once you finally find the right person, months of training and onboarding follow before they are fully operational.
Some leaders are experiencing personnel reductions of up to 40%. Importantly, nearly half of the leaders have noticed that interns are staying in their positions for shorter durations. This isn't merely a staffing issue; it reflects a banal level of burnout.
A report found that there are only enough workers to fill 83% of available jobs. 71% of SOC Analysts rate their pain of being a SOC analyst at 6 through 9 out of 10. This confirms that most SOC managers and company leaders need to make significant adjustments in how they operate and manage their people to make SOC work less painful.
In the evolving landscape of AI for cybersecurity, Simbian's AI SOC champions a human-in-the-loop architecture that empowers analysts rather than replacing them. This design ensures analyst oversight and policy governance frameworks guide every operation, maintaining human control while leveraging autonomous SOC agents for efficiency. No more unchecked automation, our system enforces strict guardrails, allowing security teams to define rules and intervene seamlessly.
AI SOC agents handle routine alert triage automation, processing high-volume alerts with 92% auto-resolution rates, dramatically reducing MTTR from hours to minutes. This frees human experts to focus on complex decisions, such as strategic threat hunting with AI and nuanced incident response. Integrated with SIEM/XDR tools via 70+ integrations, our Context Lake™ knowledge provides rich, business-specific context for accurate escalations.
The magic lies in continuous learning from analyst feedback and corrections. Every interaction refines the AI SOC Agent, improving false positives reduction and adapting to emerging threats. For MSSP/MDR enablement, this means 24/7 coverage with a < 24h time-to-value and ~3-month payback through operational savings: no more analyst burnout—experience autonomous SOC augmentation that scales services without compromising control.
AI SOC transforms MSSP operations by automating routine security tasks, enabling 92% auto-resolution rates, and delivering measurable ROI through enhanced threat response capabilities.
5 Key Benefits for MSSPs Using AI SOC
- Scalable Growth Without Linear Staffing Increases: AI SOC enables MSSPs to handle 200-300% more clients without proportional headcount growth. The autonomous alert processing capabilities allow analysts to manage larger client portfolios while maintaining consistent service quality. This scalable economics model transforms traditional 1:1 client-to-analyst ratios, enabling sustainable business expansion and improved profit margins through operational efficiency gains.
- Enhanced SLA Compliance and Response Times: Mean Time to Detect (MTTD) improves and Mean Time to Respond (MTTR) reduces through intelligent automation. AI SOC agents provide 24/7 coverage without staffing headaches, ensuring consistent service delivery across global time zones. This reliability enables MSSPs to meet stringent SLA requirements while reducing penalty risks and improving client satisfaction scores.
- Dramatic Cost Reduction and Margin Improvement: MSSPs achieve operational cost savings through AI automation while maintaining or improving service quality. By automating routine triage and investigation tasks, human analysts focus on high-value strategic work, reducing analyst burnout and improving retention rates. This transformation allows competitive pricing while preserving healthy profit margins in an increasingly competitive market.
- Multi-Tenant Efficiency with Client-Specific Context: Simbian's AI SecOps Platform maintain strict data segregation between clients while enabling unified management across multiple customer environments. The technology adapts to each client's unique security policies, compliance requirements, and technology stacks, ensuring that investigations align with individual customer needs rather than relying on generic approaches. This capability enables true economies of scale without compromising service customisation.
- Premium Service Differentiation and Revenue Growth: AI capabilities enable MSSPs to develop differentiated service tiers and outcome-based pricing models. Advanced features like predictive threat hunting, behavioral analysis, and automated incident response justify premium pricing while delivering measurable value. High-growth MSSPs with 75% AI adoption rates achieve 20%+ revenue growth compared to traditional providers, demonstrating clear competitive advantage through technology investment.
Our comprehensive LLM performance benchmarking reveals Simbian's AI SOC consistently outperforms competitors on SOC-specific tasks, including threat classification, incident correlation, and contextual analysis. Through rigorous testing across diverse security environments, the AI SOC Agent demonstrates exceptional accuracy in distinguishing genuine threats from benign activities using our proprietary Context Lake knowledge graph.
Our benchmark is based on the autonomous investigation of 100 full-kill chain scenarios that realistically mirror the challenges faced by human SOC analysts every day. The created attack scenarios have known ground truth of malicious activity, allowing AI agents to investigate and be assessed against a clear baseline. The used scenarios are even based on the historical behavior of well-known APT groups and cybercriminal organizations, covering a wide range of MITRE ATT&CK™ Tactics and Techniques, with a focus on prevalent threats such as ransomware and phishing.
- Force Multiplication Without Replacement: Simbian's AI SOC Agent operates as a force multiplier, not a replacement, handling 92% of alerts autonomously while maintaining human analyst control. The human-in-the-loop architecture ensures analysts maintain oversight and policy governance, focusing on strategic decisions while AI processes routine alert triage automation. This collaboration enables 5X cost savings and 3X reduction in MTTR while preserving the irreplaceable human judgment that complex security scenarios require.
- 24/7 Coverage with Contextual Intelligence: The AI SOC Agent provides continuous 24/7 coverage by combining Simbian's security knowledge base with your organizational context through the Context Lake knowledge graph. This contextual intelligence allows the AI to investigate alerts using business-specific information learned from documents and employee interactions, ensuring accurate risk assessment and proper escalation decisions around the clock.
- Dramatic Reduction in Alert Fatigue: Traditional SOCs experience up to 90% false favorable rates, with analysts spending 32% of their time on non-threats. Simbian's AI dramatically reduces this burden by autonomously resolving 92% of alerts and filtering out false positives, allowing human analysts to focus on genuine threats. This reduction in alert fatigue leads to improved job satisfaction and a 96% analyst retention rate, as seen in similar AI-augmented SOC implementations.
- Continuous Learning and Adaptation: The AI SOC Agent continuously learns from previous detections, analyst feedback, and Simbian's security experts, ensuring readiness for evolving threats. This learning loop enhances detection accuracy over time, adapting to your organization's unique environment and threat landscape. Human analysts provide crucial feedback that refines the AI's decision-making, creating a collaborative improvement cycle.
- Scalable Operations with 75+ Integrations: Simbian's platform integrates with 75+ enterprise security tools, including SIEMs, XDRs, EDRs, and cloud platforms, centralizing alerts into a single pane of glass. This extensive integration capability, combined with AI automation, enables organizations to scale security operations without proportionally increasing headcount. The AI investigates alerts from all sources and correlates data across the ecosystem, providing comprehensive threat visibility while maintaining manageable operational costs.
It's time to master and become smarter with AI. Be a more effective guardian of your clients and build the future of managed security services.
Let Simbian.ai show you how.
