Cynomi Launches AI-Powered CISO Agents to Help MSPs Scale Cybersecurity Services and Revenue

Cynomi is betting that the future of managed cybersecurity services will not be built on hiring more senior talent, but on embedding that expertise directly into software.

The Boston and Tel Aviv–based company recently unveiled a major expansion of its platform, introducing a new layer of AI-driven “CISO Intelligence” agents designed to help managed service providers automate and scale security operations, advisory, and client delivery. The move reflects a broader shift across the cybersecurity industry as vendors race to operationalize artificial intelligence beyond isolated automation features and into full decision-making systems.

At its core, Cynomi’s latest release attempts to solve a growing problem for MSPs and MSSPs: demand for higher-level security strategy is rising, while experienced cybersecurity talent remains scarce and expensive. Rather than focusing on task-level automation, the company is positioning its platform as a way to replicate the judgment and workflow of a seasoned chief information security officer across every customer engagement.

“CISO Intelligence has always been about embedding expertise into every workflow,” said Reut Roich, VP Product Management at Cynomi. “With our AI Agents, we’re making that expertise accessible and actionable so every team member can deliver strategic guidance, not just execute tasks.”

From Automation to Embedded Cybersecurity Decision-Making

While many cybersecurity platforms have introduced AI to streamline compliance checks or alert triage, Cynomi’s approach centers on building what it describes as an intelligence layer that spans the full service lifecycle.

The platform deploys multiple AI “co-worker” agents that simulate roles typically found within a security organization, including a CISO, auditor, analyst, and executive communicator. These agents are designed to work together inside existing workflows, producing outputs such as risk assessments, remediation plans, policies, and executive-level reports without requiring manual drafting.

The shift is subtle but significant. Instead of security teams creating deliverables from scratch, the system generates them automatically, leaving humans to validate and refine. That model could fundamentally change how MSPs deliver services, especially for smaller firms that lack deep bench strength.

Cynomi’s platform also emphasizes contextual intelligence. Its agents interpret risk, prioritize actions, and tie recommendations to business outcomes in real time, aiming to bridge a long-standing gap between technical security data and executive decision-making.

Turning Cybersecurity Into a Growth Engine

Beyond operational efficiency, Cynomi is explicitly positioning its AI capabilities as a revenue driver.

The platform connects security insights directly to go-to-market opportunities, enabling service providers to identify gaps, recommend additional services, and expand client engagements. This reflects a growing trend in cybersecurity where vendors are blending security operations with sales enablement, particularly in the MSP ecosystem.

By embedding intelligence directly into workflows, Cynomi also removes the need for prompt engineering or separate AI tools. The system is designed to be used natively within day-to-day operations, lowering the barrier to adoption for teams that may not have deep AI expertise.

The company frames the value proposition around four pillars: ease of use, expanded expertise, operational efficiency, and growth enablement. Together, these elements aim to help MSPs deliver consistent, high-quality security services without increasing headcount.

The Push Toward Autonomous Security Operations

Cynomi’s long-term vision extends beyond assistive AI. The company is working toward what it describes as autonomous security delivery, where reports, plans, and recommendations are continuously generated in the background and ready ahead of audits, quarterly business reviews, and client meetings.

That vision aligns with a broader industry trajectory toward autonomous SOCs and AI-driven security operations centers, where human involvement shifts from execution to oversight.

“We will empower every MSP with an intelligent, scalable operation where expertise is always on," said David Primor, CEO of Cynomi. "Security delivery shouldn't depend on how many experts you can hire, it should be encoded into the system itself, so that every analyst on your team operates with the judgment of a senior CISO, on every client, every time.”

Why This Matters for MSPs and the Future of AI in Cybersecurity

The launch highlights a key inflection point for AI in cybersecurity. Early adoption focused on improving speed and reducing noise. The next phase is about replacing structural limitations, particularly the reliance on scarce human expertise.

For MSPs, that shift could redefine competitive dynamics. Providers that successfully integrate AI-driven advisory capabilities may be able to move upmarket, deliver more strategic services, and increase margins without proportional increases in staffing.

For the broader market, Cynomi’s move underscores a growing consensus that the real value of AI in cybersecurity lies not in automating tasks, but in scaling judgment.

As enterprise environments grow more complex and threats become more adaptive, the ability to codify and distribute expert-level decision-making may become one of the most important differentiators in the next generation of security platforms.