Vulnerability Management

The backlog isn't the problem. The list is.

Every vulnerability program produces the same deliverable: a ranked list. Scanners find everything, CVSS sorts it, and the queue lands on teams who could patch a fraction of it in a good quarter. So programs argue about ordering, and the backlog compounds either way.

The math recently got worse. AI-driven vulnerability research disclosed 1,596 verified vulnerabilities across 281 open-source projects in 63 days, roughly 25 per day, against an observed remediation rate near 1.5 per day. Discovery now outpaces remediation by an order of magnitude, and the gap grows daily. The data is in our Patch Gap research report; the implication is simple: no team patches its way out of this. The vulnerability backlog is a symptom. Treating a severity list as a work queue is the disease.

Severity is not risk

A critical CVE on a workload nothing can reach is homework. A medium CVE on an internet-facing service, chained to an over-privileged service account that touches your crown-jewel data, is an emergency. Severity scores can't tell those two apart, because risk isn't a property of the vulnerability. It's a property of your environment.

Four questions separate the findings that matter from the noise:

• Is it reachable? Does the vulnerable code path actually run, and can anything get to it?
• Is it exploitable as deployed? Not in a lab: in your configuration, with your settings.
• Is it defended? Would an existing control block or detect the exploit pattern today?
• What does it chain into? An exposure's blast radius depends on the identities and paths connected to it.

Answering those four questions for every finding, continuously, is beyond any human team. It is exactly what AI agents are for.

How Tuskira runs vulnerability management

Tuskira treats vulnerability management as a decision problem running on a security context graph: a live model of your assets, identities, exposures, controls, and detections, built from 150+ native integrations with the tools you already own.

• Lattice prioritizes. Millions of raw findings are validated against reachability, exploitability, and defense coverage, and cut to the few that genuinely demand action. In production environments, that's routinely under 1% of the original queue.
• Kairo validates the chains. Individual findings are joined into the breach paths an attacker could actually traverse, so you fix the exposure that severs a path, not just the CVE with the loudest score.
• Quell closes exposure before the patch. When a fix can't ship today, Quell recommends the compensating control, a firewall rule, an identity policy, an EDR setting, that blocks the exploit pattern now, so patching proceeds on a safe schedule instead of an emergency one.
• Every verdict carries evidence. Prioritize, defer, or accept: each decision comes with the reasoning trace, reachability proof, and control state behind it, ready for auditors and the board.

Your scanners stay. Tuskira consumes their findings and adds the context and validation layer they were never built to provide.

What changes in practice

The queue collapses first: from millions of findings to an actionable set measured in fractions of a percent, with production deployments routinely landing near half a percent of raw volume. Emergency patch cycles get rarer, because compensating controls buy time the moment a disclosure lands. And deferrals become defensible: when you choose not to patch, you hold evidence for why that was the right call. One customer puts it plainly: when a CISA advisory drops, they identify their real exposure in real time, apply the compensating control changes, and report the response to the board inside the 72-hour window.

Comparing vendors? Our AI cyber defense buyer's guide gives you fifteen questions to ask every platform, including Tuskira.

Vulnerability management FAQ

Does Tuskira replace my vulnerability scanner?

No. Scanners are the discovery layer; Tuskira consumes their output and adds validation, prioritization, and closure. You keep the tools you own and get more value from them.

How is this different from risk-based vulnerability management?

RBVM re-scores lists with threat intel, which helps ordering but still hands you a list. Tuskira validates each exposure against your actual environment and controls, then drives the closure, including compensating controls when patches have to wait.

What is a compensating control in vulnerability management?

A configuration change in a tool you already own, a firewall rule, an identity policy, an endpoint setting, that blocks the exploit pattern of a vulnerability before the patch is deployed. It converts an exposed window into a defended one.

How does this relate to CTEM?

Vulnerability management is the anchor use case inside Tuskira's agentic CTEM: the same loop of discovery, prioritization, validation, and mobilization, extended across every exposure type, not just CVEs.

See your own findings cut to the few that matter, or explore the platform architecture.