Beyond the Alerts: Cynomi’s AI Push Targets MSPs’ Real Pain Point—Time

ORLANDO, FL and TEL AVIV, ISRAEL – June 24, 2026 – At first glance, Cynomi’s announcement today of its largest-ever platform expansion reads like a standard tech update: new integrations, more automation, a slicker interface. But digging into the numbers reveals a more profound story. The press release details a strategic assault on the single most significant, yet often overlooked, drain on cybersecurity service providers: administrative overhead. For the Managed Service Providers (MSPs) on the front lines of digital defense, this isn't just about better tools; it's about reclaiming the thousands of hours lost to the manual grind of security governance.

The core of the issue, buried in the data, is that MSPs often spend between three and eight hours per client every single week on tasks that are crucial but not strategic—manually running vulnerability scans, importing spreadsheets of findings, updating remediation plans, and gathering evidence for compliance audits. For a mid-sized MSP managing just 15 clients, that can add up to 120 hours of work per week. That’s the equivalent of three full-time employees dedicated solely to administrative security work, not strategic defense or client growth. This is the real story hiding behind Cynomi’s announcement, a story of operational drag and the promise of an AI-powered reprieve.

The Crushing Weight of Scale

The challenge for MSPs is one of compounding complexity. As they grow, their operational burdens don't just scale linearly; they multiply. Each new client adds another environment to monitor, another set of compliance rules to follow, and another flood of alerts from a sprawling ecosystem of security tools. This reality has created a perfect storm of challenges that threatens the very business model of many service providers.

A persistent global shortage of skilled cybersecurity talent means that hiring expert analysts is both difficult and prohibitively expensive. This leaves MSPs trying to do more with less, stretching their existing teams thin and risking burnout. The result is often a state of “alert fatigue,” where an overwhelming volume of security data makes it impossible to distinguish real threats from background noise. It’s a precarious position where the cost of a single missed alert could be a multi-million-dollar data breach for a client.

“We needed a way to standardize our delivery and make our processes more efficient,” one vCISO consultant and Cynomi partner noted in a recent review. “We were drowning in spreadsheets and manual reporting.” This sentiment is echoed across the industry, where MSPs are caught between rising client expectations for enterprise-grade security and the tight margins of serving small to medium-sized businesses.

From Manual Grind to AI-Assisted Governance

Cynomi’s platform expansion is engineered to directly dismantle this cycle of manual inefficiency. By introducing integrations with seven leading vulnerability management platforms—including heavyweights like Tenable, Rapid7, and CrowdStrike—the company is building a unified workflow. Instead of manually exporting and importing data from disparate systems, MSPs can now have findings flow directly into a single operating model. This connects what they find with what they fix, and how they prove it to auditors.

The new “Scheduled Scans” feature further automates this process, allowing partners to run weekly or monthly scans across all client environments without manual intervention. This ensures security posture data is always current, providing the continuous oversight required by compliance frameworks like CMMC, HIPAA, and ISO 27001. To address the audit-preparedness headache, a new centralized “Files Repository” automatically organizes reports, remediation evidence, and policies, linking them directly to specific controls. What once took hours of frantic preparation before an audit can now be accomplished in minutes.

At the heart of this release is the expansion of Cynomi's AI capabilities. The “AI Findings Coworker,” powered by what the company calls its “CISO Intelligence” infrastructure, analyzes all this incoming data. It identifies conflicts, flags emerging risks, and recommends prioritized remediation actions for a human partner to approve. It’s a model that aims for the best of both worlds: the scale and speed of AI, paired with the judgment and oversight of a human expert.

“MSPs don't need more security tools, they need a way to scale security outcomes across hundreds of client environments,” said David Primor, Co-Founder and CEO of Cynomi, in the official release. “By reducing manual effort and turning security data into actionable outcomes, we're helping service providers improve client results, increase operational efficiency, and grow cybersecurity revenue.” The numbers from existing partners seem to back this up, with some reporting they doubled their client base without adding headcount, and another cutting cybersecurity management time by 50%.

The Bigger Picture: An Agentic Future

Cynomi's focus on an “agentic” platform is not happening in a vacuum. It represents a significant evolution in the role of AI within the MSP toolkit, a trend visible across the competitive landscape. Competitors like Huntress are blending AI with human threat hunters, while platform giants like Kaseya are building “agentic IT management platforms” to autonomously handle a range of tasks. The industry is rapidly moving beyond simple automation—like flagging a known bad IP address—towards AI that can perform complex, multi-step tasks with a degree of autonomy and decision-making logic.

What Cynomi is branding as “CISO Intelligence” is its take on this future. It’s an attempt to codify the decision-making logic of a seasoned Chief Information Security Officer and embed it into software. The goal is to allow a junior analyst, guided by the platform, to deliver the kind of senior-level judgment that was previously the exclusive domain of expensive, hard-to-find experts. This vision is clearly what attracted a $37 million Series B investment in the company last year, funding earmarked specifically to accelerate this AI-driven development.

This shift is a force multiplier for an industry struggling with a severe talent deficit. By empowering MSPs to scale their most valuable asset—expertise—this new generation of AI-powered platforms could fundamentally change how security services are delivered. It allows providers to move up the value chain, transitioning from reactive, break-fix support to proactive, strategic advisory that drives recurring revenue. For MSPs and their clients, this means moving beyond simply collecting security data to operating continuous, AI-assisted security programs that demonstrably reduce risk.