Cover Your Assets: The Best CAASM Tools in 2026

John Le
Sep 3rd, 2026

The Best CAASM Tools in 2026

Cyber asset attack surface management (CAASM) went from a niche Gartner category to one of the most consolidated corners of cybersecurity. In the first half of 2026, Arctic Wolf picked up Sevco Security, then ServiceNow closed its $7.75 billion acquisition of Armis. Follow the money and you'll quickly understand which parts of the security stack organizations should pay attention to. Big platform vendors don't buy into categories that don't matter. This rapid round of deals confirms what security teams already knew: asset visibility into every digital asset is foundational.

If you're trying to improve your organization's security posture with a CAASM platform, the consolidation might make it a confusing year to shop. Some of the names you'll see on analyst lists now ship as modules inside larger platforms instead of standalone products. This guide breaks down what matters when evaluating a CAASM provider, then ranks the platforms worth putting on your shortlist.

What Should I Look for in a CAASM Platform?

Not every cyber asset attack surface management tool solves the same problem. Before you sit down for demos, consider how these key features could support your environment:

  1. Connects without adding agents. A CAASM platform should pull data from the tools you already run through APIs, not require you to roll out new agents across every device in your environment.
  2. Covers cloud and hybrid environments broadly. Look for wide coverage across cloud providers, identity systems, endpoint tools, code repositories, and vulnerability scanners, rather than a short list of the most common integrations.
  3. Cleans up data into one reliable record for a unified view. Data pulled from a dozen different sources is messy by default. A platform earns its keep by deduplicating and reconciling that data into a single accurate record for each asset.
  4. Lets you query relationships, not just rows. The real test is whether you can ask how assets connect to each other across your attack surface, not just pull up a table. That relationship-aware querying is what separates an actual CAASM platform from a dressed-up spreadsheet.
  5. Supports both natural language and structured queries. Security teams work differently from one another, so the platform should let people ask questions in plain English or use a more advanced query language, depending on what fits the task.
  6. Uses AI to speed up investigations. Beyond visibility, look for AI capabilities that summarize findings, draft queries, and help analysts work through exposures and asset relationships faster than they could manually.
  7. Opens asset data to AI tools through MCP. As AI-powered workflows become standard, a CAASM platform should let AI assistants and other external tools query cyber asset data and the underlying knowledge graph directly and securely.
  8. Delivers reporting mapped to real frameworks. Reporting should line up with the regulatory compliance requirements your organization already tracks, not force your team to rebuild a dashboard from scratch for every audit.

For a deeper look at how these platforms work under the hood, see JupiterOne's Ultimate CAASM Guide for 2026.

Any vendor can put a checklist of features on a slide and help you tick a box. But think about when the next alert hits. During the demo, ask yourself: Will these features make a difference for incident response? Do the features help me answer a question in seconds or will I still need to spend my night paging through five different consoles while the incident gets worse?

Every security team has been under the same pressure: an alert fires, nobody's sure which asset it's even tied to, and the clock is running before you've answered the first question. The asset data your team leans on when everything is calm is the same as what you'll be reaching for when something breaks. If you take one thing from this section, let it be this: test these criteria against a real scenario, not a demo script. That's the only barometer that matters.

How the Top CAASM Tools Stack Up

Before comparing CAASM tools feature by feature, it's helpful to see how the market itself views them. Below is how the most established CAASM vendors score on G2 and Gartner Peer Insights:

CAASM VendorG2 RatingGartner Peer Insights Rating
JupiterOne4.9 stars4.3 stars
Axonius4.2 stars4.5 stars
runZero4.0 stars4.6 stars
Armis4.4 stars4.4 stars
Sevco (now Arctic Wolf)n/a (no reviews)5.0 stars
Qualys4.3 stars4.3 stars
Lansweeper4.4 stars4.3 stars

While these ratings may be useful as a gut check, the numbers don't explain why one platform would be a better fit than another for your environment. For that, the following section describes how each vendor compares based on integration depth, relationship context, and how each fits into a broader security program.

The Best CAASM Tools in 2026

1. JupiterOne

JupiterOne built its CAASM platform around a security graph instead of a flat inventory. Every asset, cloud resource, identity, and code repository is stored with typed relationships to everything it touches, so security teams can ask questions like "which cloud workloads have privileged access to sensitive data" and get actionable insights with context, not just a list of hits.

That graph architecture is also what separates JupiterOne from CAASM tools that stop at visibility. Vulnerability management and continuous controls monitoring ship in the same platform. The same asset data used to build your inventory also prioritizes vulnerabilities by reachability. And it verifies daily that required controls, like MFA on privileged accounts or EDR on internet-facing hosts, are working. Natural language queries through JupiterOne AI and 200+ agentless integrations round out the platform. Teams get one contract and one source of truth instead of separate SKUs for asset data, vulnerability management, and compliance evidence.

Spreadsheets go stale the moment you save them. JupiterOne provides a practical difference: asset data stops being a static report you pull before an audit and becomes something you query in the middle of active security incidents.

Best for: security teams that want asset visibility, vulnerability prioritization, and continuous controls monitoring consolidated into a single platform instead of licensed piecemeal.

2. Axonius

Axonius remains one of the most established names in cyber asset attack surface management. The company is best known as one of the broadest adapter ecosystems on the market for pulling in asset data from existing security tools. For teams whose primary need is pure asset aggregation across a large, varied tech stack, Axonius does that job well. Its correlation engine is a genuine strength for eliminating duplicate records. However, it's worth factoring into a total-cost comparison that their vulnerability management and compliance workflows are handled as separate modules or through partner integrations rather than a single unified graph.

Best for: organizations that want the widest possible net of integrations and don't need vulnerability management or continuous controls monitoring bundled into the same platform.

See the full side-by-side: JupiterOne vs. Axonius comparison.

3. runZero

runZero approaches asset discovery from the network layer. Its combination of unauthenticated active scanning and API integrations finds assets that purely integration-based platforms miss entirely, including rogue devices, internet of things endpoints, and unmanaged segments. runZero was recognized as a 2024 Gartner Peer Insights Customers' Choice for CAASM, with the highest willingness-to-recommend score of any vendor in that report.

Best for: teams whose biggest gap is finding unknown or unmanaged assets on the network, often as a complement to an API-based CAASM platform rather than a replacement for one.

4. Armis (now part of ServiceNow)

Armis built its reputation on agentless discovery for environments dense with unmanaged and cyber-physical devices (manufacturing floors, hospital networks, critical infrastructure). Following ServiceNow's completed acquisition in April 2026, Armis Centrix continues to operate as its own platform while being woven into ServiceNow's broader AI-driven security workflows.

Best for: OT, IoT, and medical-device-heavy environments where unmanaged device discovery is the core problem, especially for organizations already running ServiceNow.

5. Sevco Security (now part of Arctic Wolf)

Sevco is rooted in exposure management, tracking asset behavior in real time: not just what exists, but what changed and when. Arctic Wolf acquired Sevco in February 2026 and is integrating its asset intelligence into the Aurora platform to strengthen Arctic Wolf's managed risk offering.

Best for: Arctic Wolf customers who want continuously updated asset telemetry folded into their existing managed detection and response relationship.

6. Qualys CyberSecurity Asset Management (CSAM)

If your vulnerability management program already runs on Qualys, CSAM extends the same agent and platform into asset inventory with some external attack surface management features layered in. The value is tightly tied to how deep you already are in the Qualys ecosystem.

Best for: existing Qualys customers consolidating asset visibility onto their incumbent vulnerability management vendor rather than adding a new platform.

7. Lansweeper

Lansweeper comes from IT asset management rather than security, and it's priced and packaged accordingly. Its strength is deep hardware and software discovery across corporate networks. This makes it a practical fit when the primary need is operational asset tracking within the IT environment with some security reporting layered on top. If you're looking for full attack-path analysis or relationship-aware querying, pass on this option.

Best for: mid-market teams whose primary need is IT asset management with security visibility as a secondary benefit, not a dedicated CAASM platform.

How to Choose the Right CAASM Platform

Start by mapping the asset data sources you already have and the gaps you know about, whether that's shadow IT, unmanaged cloud accounts, compliance gaps, or unclear ownership. From there, weigh how much of your evaluation is about pure asset inventory versus a platform that also handles vulnerability management, risk prioritization, and compliance evidence. Consolidating those functions into one contract usually beats licensing them separately once you factor in integration overhead and the manual effort your security teams spend reconciling data across tools.

A proactive approach means testing whatever you shortlist against your own environment before you buy. Ask each vendor to show you a real query, not a slide. Which assets are missing endpoint protection? What's the blast radius of a specific compromised identity, and which internet-facing systems lack required controls? The CAASM platforms that answer those questions in seconds, with your actual data, are the ones worth a longer look.

For a closer, feature-by-feature comparison of six CAASM and asset intelligence platforms, see JupiterOne's breakdown of CAASM alternatives. Or get a demo and query your own environment in real time.

Other articles

A failed control is a security event, not a compliance footnote. See how Continuous Controls Monitoring (CCM) treats every control test as a security detection.

John Le
Sep 1st, 2026
  • CCM
  • Compliance

JupiterOne's MCP server is now listed in Anthropic's MCP directory, making it easier to bring your security graph into Claude and ask questions in plain English.

John Le
Aug 10th, 2026

AI risk vs. adversarial risk, safety vs. security distinction stopped mattering the moment the models decided the exam was too hard.

Kevin Tonkin
Jul 30th, 2026

Tools are silent.
Risks aren't.

See your full security program as one connected picture in a 30-minute demo tailored to your environment.