Spektion combines asset criticality, exploit intel, and evidence of exploitability on your assets to provide a three-dimensional view of what matters. CVSS and threat intel tell you what's risky globally, not what's exploitable in your environment right now. Spektion observes software as it runs, its privileges, and whether it's network-accessible. With Spektion, your patch order reflects actual exploitability backed by runtime evidence, not a probability model.

Exploitation requires three things: vulnerable code must execute, attacker input must reach it, and compensating controls must be absent. Scanners tell you what's installed. They can't tell you whether any of those conditions are met. Runtime context adds exactly that: observed execution state, privilege level, and network exposure for every endpoint, continuously. The result is the difference between a theoretical vulnerability list and one you can actually act on.

Because they're built on external data based on known attacks only: global threat intel, exploit databases, and EPSS scores. They model what is known to have been exploited in other environments. They can't observe what's exploitable in your environment. If the input is incomplete, the prioritization will be too. Spektion changes the input entirely by adding runtime context into the picture that legacy tools have never had access to.

CVSS scores a vulnerability in isolation—severity, attack vector, complexity. Runtime exploitability asks a different question: is this software actually running, with what privileges, and is it reachable? The same CVE scores identically on every endpoint. Runtime observation resolves it differently based on what's actually happening. It tells you what medium-severity vulnerabilities are easily exploitable and what critical-severity vulnerabilities can safely be deprioritized. That's the gap Spektion closes.

Spektion can, but most can't because CVE-based tools have a CVE-shaped hole. They can only flag what's been catalogued by a scanner using the CVE database. Spektion detects exploitable conditions based on observed behavior: credentials stored on disk, browser extensions with excessive permissions, embedded components inside applications, privilege escalation paths, regardless of whether a CVE exists.

Yes. Some customers leverage Spektion with other vulnerability scanners, but most customers end up replacing, because Spektion catches CVEs that other scanners miss, including software components that scanners can’t see. Spektion's agent covers everything your scanner was doing—CVE detection across your operating systems and installed software—and adds continuous runtime exploitability assessment on top to catch risks that aren’t captured in a CVE (internal software, custom or niche applications, zero-days, AI agents, and AI-generated executables running on endpoints).

Both. Spektion can feed runtime context into your existing RBVM tool via API—execution state, privilege level, network exposure—so your current prioritization model works with better input. Or it can replace the RBVM layer entirely, since Spektion's runtime-based prioritization covers what RBVM tools were trying to approximate with external data. Most customers start with one motion and end up with the other. During your trial, you will see which makes more sense in your environment.

Yes, and this is one of the most common deployment patterns. If you've invested in building a prioritization model, Spektion becomes the runtime data layer that feeds it—the eyes your model has been missing. Runtime context is available via API and MCP, so your existing workflows and scoring logic can factor in execution state, privileges, network exposure, and more.

Customers typically see a 60-80% reduction in endpoints flagged critical per CVE. The exact number depends on your environment. Sign up for a Proof-of-Value (POV) trial and see your exposure reduction number. No commitment required, just data.

A typical trial runs three weeks across 50-500 endpoints. Week 1: Deploy, access first runtime data within minutes, begin seeing CVE exposure, runtime risk, and pre-CVE weaknesses—all together, in your environment. Week 2: Review findings together and walk through noise reduction opportunities. Week 3: Validate results, quantify the reduction, and build the business case with real data from your real environment.