Astelia has joined Anthropic's Cyber Verification Program, giving us access to Mythos-grade AI models for defensive work. We're putting it toward one problem: keeping vulnerability management viable now that AI has slashed the cost of exploiting a flaw. We tackle it with reachability analysis, which proves whether an attacker can actually reach and exploit a vulnerability. A flaw nobody can reach is harmless, whatever its score.
Why this access matters
Anthropic runs the Cyber Verification Program for organizations whose defensive work, such as vulnerability research and adversarial simulation, would otherwise run into the model's ordinary safety guardrails. Getting verified means a company has shown that its use case is genuinely defensive and can put frontier models to work on it.
For us, the reason to want it is straightforward. Models like Claude Mythos have already found thousands of high-severity vulnerabilities, including ones in every major operating system and browser, and can turn a published CVE into a working exploit within hours. If attackers are going to have that kind of capability, we need to understand it firsthand to defend our customers against it.
Time to rethink vulnerability management
Vulnerability management grew up around an assumption that most "critical" findings would never be weaponized, which made a severity score a reasonable proxy for real risk. As long as building an exploit was slow and expensive, that held up.
It no longer does. Once almost any CVE can be exploited on demand, severity tiers and exploitability ratings start pointing at the same place, and everything reads as urgent. A backlog of ten thousand criticals gives a team no signal about where to spend the next hour, and trying to patch faster than a model can write exploit code is a losing game.
That is the situation Astelia was designed for. Rather than ranking findings by how dangerous they might be in theory, we show what an attacker can actually reach inside your environment. A model can inflate a severity score, but it can't conjure a network path that doesn't exist. Reachability holds up because it describes your network rather than the CVE.
Reachability over guesswork
Astelia maps your real network topology through read-only integrations, then uses agentic models to work out what each finding would take to exploit: the path in, the privileges required, the conditions that have to line up. Matching that against your topology, we surface the roughly 1% of vulnerabilities that are genuinely reachable and set the rest aside as noise.
Mythos-grade access makes the analysis sharper. We can reason more precisely about exploit conditions and stress-test our reachability findings against the same offensive capability an attacker would use.
The same reachability analysis also points to the fix. When a CVE can be weaponized as soon as it goes public, waiting on a vendor patch often isn't realistic, so Astelia identifies several ways to cut the attacker's path to each reachable flaw, such as segmentation, configuration changes, and compensating controls. Security and IT then work from the same evidence and choose whichever remediation they can actually deploy.
What it means for your program
On-demand exploitation doesn't undermine this approach. It is the reason the approach now matters more than any other. When weaponizing a vulnerability costs an attacker almost nothing, the only question that still sorts your backlog is whether someone can actually get to a given flaw.
Request a demo to find and fix the reachable 1% in your network.
