Know your CVE exposure, fix the ones that matter
bifrost starts from runtime. It learns what your containerised workloads do, gives each CVE a verdict, protects each workload with a tailored profile enforced at the kernel, and instantly knows your exposure to the next discovered vulnerability.
For containerised workloads running on Kubernetes, Docker Swarm or Nomad.
How bifrost works
From runtime up
Other tools start from the image or from a rulebook. bifrost starts from what each workload actually does when it runs, and builds every verdict, every profile and every answer on that.
- 01
Learn
Every container, down to what it does when it runs.
Every build is observed in pre-production: where it runs, what it contains, which CVEs it carries, and the syscalls, files and connections it uses.
- 02
Prioritise
Every CVE, with a verdict.
Every CVE gets a verdict against what actually runs: reachable, mitigated by the profile, or never loaded. No manual triaging.
- 03
Protect
Allow only what it does
Each workload gets its own security profile, enforced at the kernel. Anything outside it is blocked, including exploits nobody has found yet.
- 04
Answer
The next CVE, before it is asked.
When the next CVE is discovered, bifrost already knows where you have it, how exposed you are, and how well protected you are.
Higher-quality prioritisation, no manual triaging, deep runtime understanding, and kernel-level protection, fully automated with bifrost.
Verdicts, not findings
Scanners report every CVE in the image. bifrost gives each one a verdict against what actually runs: never loaded, mitigated by the profile, or reachable. What is left for your team is the short list that matters.
bifrost does the triage, so engineering time goes where it counts, and every verdict comes with the evidence behind it.
Why runtime up
You can't patch your way out of this
Vulnerabilities are reported faster than anyone can triage them, weaponised before a patch exists, and increasingly written by AI. Fixing everything was never realistic.
The difference is where each approach starts.
A scan stops at the image
Scanners start from the image and never reach runtime: a snapshot that cannot know what comes next.
Detect and respond watches, then reports
It starts at runtime but only watches. It reports what happened and leaves the acting to you, after the fact.
A rulebook goes stale
Policy engines start from rules someone has to write. Manual regimes run from ~200 to 10,000 rules that rot the moment the software changes.
bifrost starts from runtime, from what each workload really does. It allows only that, and refuses the rest before it runs. Every verdict comes from the same place as the protection: what the workload actually did when it ran.
See how it works−7days
Time-to-exploit has gone negative. Attackers weaponise vulnerabilities, on average, before a patch exists. In 2018 defenders had about 63 days.
Source: Mandiant263%
Growth in reported vulnerabilities from 2020 to 2025. NIST's National Vulnerability Database can no longer enrich them all and now triages by priority.
Source: NIST45%
of AI-generated code ships with a security flaw, and newer, larger models are not getting safer.
Source: Veracode
See it in the product
Every step, in one view
Every container, down to what it does
What each build contains, where it is deployed and what it does when it runs, down to its files, connections and system calls. Learned automatically, with no code changes.
How bifrost learns
Every CVE, with a verdict
Reachable, mitigated by the profile, or never loaded. Thousands become a short list, with the evidence attached.
How verdicts are reached
Anything outside the profile is blocked
A tailored profile per workload, enforced at the kernel. Every blocked action arrives with its context: which workload, which build, and what was refused.
How the profile protects
Protection, not just detection
Same container, same exploit, two outcomes
A Node.js application with a newly discovered vulnerability, attacked twice with the same request. Once as it ships. Once with the profile bifrost learned from that build in pre-production.
Without bifrost
A foothold
The exploit gives the attacker a root shell inside the container, and every path that starts there: secrets, the database, the next service. Detection, where it is in place, reports it afterwards. Triage and response begin once the attacker is already live in your infrastructure, moving at AI speed.
With bifrost
Refused, and reported
With a tailored bifrost profile, the workload is allowed only its intended behaviour and denied everything else. A shell was never part of it, so the kernel refuses the exec before it runs and the exploit fails. The attacker has no room to move, and the alert arrives with pod, image and the denied action.
Protection while you fix the vulnerability. The bug still needs a patch. The tailored profile stops the exploit at the kernel and reports the attempt with its context, giving the team protection while it prepares and deploys the fix.
Works with your stack
For containerised workloads running on Kubernetes, Docker Swarm or Nomad.
On Kubernetes, deploy via Helm. First profile in under 10 minutes.
Kubernetes
Platform
Docker
Platform
Google GKE
Cloud
Azure AKS
Cloud
OVHcloud
Cloud
AWS EKS
Cloud
DigitalOcean
Cloud
GitHub Actions
CI/CD
ArgoCD
GitOps
Helm
Packaging
Talos Linux
Operating System
Ubuntu
Operating System
The next incident, analysed
Breakdowns of major vulnerabilities and breaches, and runtime security thinking from the bifrost team. About twice a month.
A lookup, not a war room
The next CVE, answered from what bifrost already knows. See it on your stack: a 30-minute demo, or 14 days on your own cluster.



