Stop Paying $40,000 a Year for Vulnerability Management

The $40,000 Question

The average mid-market security team spends $40,000–$80,000 per year on vulnerability management tooling alone. For enterprise organizations with thousands of assets, that number climbs into six figures before professional services, training, and annual support renewals are added to the line items. Most of that budget flows to two vendors: Rapid7 InsightVM and SentinelOne Singularity Vulnerability Management.

Both are excellent products. This is not a takedown piece. Rapid7 built some of the most capable agent-based discovery and remediation workflow tooling available, and SentinelOne's integration of VM telemetry directly into its EDR platform is genuinely useful for organizations already standardized on Singularity. But in 2026, with local AI models that run on commodity hardware, with open-source scanners that produce rich XML exports, and with purpose-built tools that can ingest and prioritize those exports with AI context, the price gap between enterprise VM tools and open alternatives has become very difficult to justify.

What Rapid7 InsightVM Costs You

Rapid7 InsightVM's published pricing starts at approximately $25 per asset per year, which sounds reasonable until you model it against a real deployment. A mid-market organization with 500 managed assets is looking at roughly $12,500 per year at list price. But list price is where the conversation starts, not where contracts close.

Real deployments consistently land between $40,000 and $120,000 per year once you account for the full cost of ownership:

• Professional services: InsightVM's initial deployment, scan configuration, and console tuning is complex enough that Rapid7's professional services team is almost always engaged. Engagements typically run $10,000–$30,000 for a standard rollout.
• Annual support and maintenance: Enterprise support tiers add meaningful overhead on top of the base license.
• Training and certification: Rapid7 offers its own training curriculum. Getting your team proficient on the platform is a real time and money investment.
• Cloud dependency: InsightVM's reporting, dashboards, and some scan coordination features depend on Rapid7's cloud infrastructure. For air-gapped or high-sensitivity environments, this creates friction or outright blocks deployment.

On the technical side, Rapid7's agent-based discovery is its strongest differentiator. The Insight Agent deploys across your fleet, provides continuous visibility even when endpoints are off-network, and correlates vulnerability data with authenticated scan results. If your primary challenge is asset visibility and continuous coverage across a distributed workforce, InsightVM earns its price.

The AI features are a different story. InsightVM's remediation guidance stays at the level of patch version references and documentation links. There are no generated runbooks, no shell scripts, no context-aware remediation playbooks that adapt to your environment. The prioritization engine is CVSS-weighted with some contextual factors, but it doesn't incorporate EPSS exploitation probability or KEV-confirmed active exploitation at the depth that modern threat-driven prioritization requires.

What SentinelOne Singularity VM Costs You

SentinelOne's Singularity platform pricing is structured around endpoints rather than assets, which changes the math considerably. The full Singularity platform (including the EDR, identity, and VM features) runs roughly $60–$90 per endpoint per year depending on tier and contract size. Even if you attribute only a fraction of that to the VM component, a 500-endpoint organization is spending $30,000–$45,000 annually for vulnerability management as part of the bundle.

The integration story is SentinelOne's genuine strength. Because the Singularity agent is already running on your endpoints for EDR purposes, the VM data comes from live process telemetry rather than periodic scans. You get running process visibility, installed software enumeration, and real-time detection events in the same console. For organizations that have already standardized on Singularity EDR, adding VM is a natural extension rather than a new deployment.

The limitations are significant, however:

• Cloud-only AI: Singularity AI's analysis and correlation features are cloud-resident. Your endpoint telemetry, your vulnerability data, and your security posture details are processed on SentinelOne's infrastructure. For organizations with data sovereignty requirements, HIPAA obligations, or government cloud constraints, this is a hard blocker.
• Basic remediation guidance: Like Rapid7, SentinelOne provides patch references and documentation links. There are no generated remediation scripts, no detailed runbooks tailored to your environment, and no interactive AI remediation workflow.
• Vendor lock-in: The tightest integration is also the highest switching cost. If you move off Singularity EDR for any reason, you lose the VM integration along with it. The two products are designed to be inseparable.
• Scanner dependency: Despite the agent telemetry, SentinelOne still relies on authenticated scanning or import for full vulnerability coverage. The agent alone does not replace a dedicated vulnerability scanner for completeness.

The CVEasy AI Alternative (An Honest Comparison)

We're going to be direct about what CVEasy AI is and what it isn't, because the security industry has too many vendors who oversell and underdeliver, and we'd rather lose a sale than mislead a security team.

CVEasy AI does not currently have:

• Agent-based discovery. We don't deploy agents. You need to bring your own scanner. Nessus, Qualys, OpenVAS, or any tool that produces standard output, and import those results. If discovering unmanaged assets on your network is your primary challenge, you need a dedicated discovery tool.
• Endpoint telemetry integration. We don't have live process visibility from running endpoints the way SentinelOne's EDR integration provides.
• Enterprise SSO / SAML. It's on the roadmap. It's not here today.

What CVEasy AI does have, and where the calculus shifts, is a set of capabilities that neither Rapid7 nor SentinelOne provide, at any price:

• Full AI remediation playbooks with generated shell scripts. Not documentation links. Not patch version references. Actual step-by-step remediation runbooks, with executable scripts, generated in real time by a local AI model trained specifically for security context. For every CVE in your environment.
• Local-first, air-gapped operation. CVEasy AI runs entirely on your infrastructure. The AI model runs locally via Ollama on hardware you control. Zero vulnerability data leaves your network. Air-gapped deployment is fully supported.
• EPSS + KEV + ransomware + wormability signal correlation. The TRIS™ score ingests live EPSS exploitation probability, CISA KEV confirmed-exploitation status, ransomware campaign attribution, and wormable vulnerability signals to produce a composite risk score that reflects actual breach probability, not CVSS severity in a vacuum.
• Nessus, Qualys, and OpenVAS XML import. Works with whatever scanner your team already uses. No scanner replacement required.
• Streaming AI chat with your CVE data. Ask natural language questions about your vulnerability landscape, get prioritization recommendations, explore remediation options, in a chat interface running against a local model with full context of your environment.
• No vendor lock-in. Runs on Ollama (local, free) by default, or any cloud AI provider you choose. Your data, your model, your infrastructure.
• $299 per year. Not $299 per asset. $299 total.

The Feature Matrix

Who Should Use What

We'll be direct here too. Not everyone should use CVEasy AI. Here's how we'd honestly guide the decision:

Use Rapid7 InsightVM if:

• Asset discovery is your primary challenge, you don't have a clear picture of what's on your network and need continuous agent-based coverage to find it.
• You have budget and headcount to operate a complex platform, and you need the depth of workflow integrations InsightVM provides for ticket routing, remediation tracking, and executive reporting.
• Your organization already has Rapid7 relationships and tooling in the stack, consolidation often makes sense even when the unit economics are unfavorable.

Use SentinelOne Singularity VM if:

• You're already running Singularity EDR across your endpoint fleet and want VM data in the same console with the same agent, the integration genuinely reduces operational overhead when the EDR is already deployed.
• Your threat model centers on endpoint compromise and you want live process telemetry correlated with vulnerability data in real time.
• You don't have data sovereignty constraints that preclude cloud-side AI processing of your security posture data.

Use CVEasy AI if:

• You already have a scanner (Nessus, Qualys, OpenVAS, or similar) and your challenge is prioritization and remediation, not discovery.
• You want AI-generated remediation runbooks and executable scripts, not documentation links, not patch version references, but actual remediation guidance your team can run.
• Data sovereignty matters. Your vulnerability posture data is sensitive, and you can't accept it flowing to a third party's cloud infrastructure for processing.
• You're a smaller team, a lean security organization, or a company that simply cannot justify $40,000 per year for prioritization tooling on top of your existing scanner spend.
• You operate in air-gapped or restricted-network environments where cloud-connected platforms are not viable.

The Bottom Line

The best vulnerability management tool is the one your team will actually use consistently. That's the only metric that matters for breach prevention, a tool that sits unused because it's too complex, too expensive to justify to finance, or too difficult to integrate is worse than no tool at all.

At $40,000 per year, plenty of mid-market security teams cut corners on their VM program. Licenses go underutilized. Scan schedules slip. Remediation workflows don't get built because the platform's complexity creates friction at every step. The price is high enough that organizations feel pressure to justify the spend with metrics that look good rather than workflows that actually reduce risk.

At $299, there's no excuse not to run a proper vulnerability prioritization and remediation workflow. The entire cost argument disappears, and the only question left is whether the tooling does what you need.

If you have a scanner, care about data sovereignty, and want AI-generated remediation that goes beyond a link to the NVD, the math is not complicated. The $40,000 question answers itself.