Cloud Native Application Protection
One connected view of cloud risk across posture, workload, and runtime.
- Posture management across accounts and regions
- Workload and container protection
- Runtime threat detection with context
When the safe way to ship is also the fastest way, engineers take it without being asked. Saint Fox turns platform rules into code, closes configuration drift automatically, and keeps compliance evidence current while teams keep moving.
Secure platform engineering means the guardrails live in the platform itself, as code, so security holds without slowing the people who build on it. Compliance stays current every day, audit season included.
Most security controls live in slides and wikis, disconnected from the systems they govern. Configurations drift, evidence is reassembled by hand every audit, and engineers route around friction. Saint Fox moves the rules into the pipelines and the infrastructure, where they run automatically and produce audit evidence as they go.
A policy becomes a check that runs on every change, enforced in the pipeline. Here is one rule and what it does across the platform.
# Block any storage bucket that is not encrypted package platform.storage deny[msg] { bucket := input.resources[_] bucket.type == "object_storage" not bucket.encryption.enabled msg := sprintf( "%s must enable encryption at rest", [bucket.name] ) }
Settings move every day across accounts and regions. When a change crosses a policy line, the platform notices and acts, then leaves a record.
A storage bucket is opened to public read in a staging account.
The change is checked against the platform policy set and flagged as a violation.
High-confidence fix applied: public access revoked, owner notified with context.
The full sequence is logged for the audit trail, no manual write-up required.
Six domains, delivered together so the platform enforces security as one connected system.
One connected view of cloud risk across posture, workload, and runtime.
Find and validate exposure the way an attacker would, continuously, then fix what actually matters first.
Platform rules written once, versioned with the infrastructure, and enforced automatically on every change.
Zero Trust connectivity and segmentation so service-to-service traffic is authenticated, scoped, and observable.
Security built into the pipelines your teams already run, so the secure path is the default path.
Move to cloud or between platforms without carrying old risk forward. Controls are proven before cutover.
The same evidence that proves a control to your team proves it to an auditor. No quarterly reconstruction.
Planning targets, not claimed results. Actual figures depend on platform maturity and scope.
It means the rules that govern your platform are written as Machine-readable policies, versioned alongside your infrastructure, and evaluated automatically on every change. A rule like "storage must be encrypted" is evaluated automatically and blocks a non-compliant change before it ships.
The opposite is the goal. When the secure pattern is the default and approved paths are pre-cleared, engineers ship faster because they are not waiting on manual security review. Friction lands only on the changes that genuinely cross a policy line, and even then the feedback is immediate and specific.
No. We work with the cloud platforms, CI systems, and infrastructure-as-code you already use. Policy as code integrates into those pipelines. The aim is to make your current stack enforce security on its own, not to introduce a parallel system.
Only high-confidence, well-understood fixes are applied automatically, such as revoking accidental public access. Anything ambiguous routes to a named owner with the context to decide. The boundary between auto-fix and human review is set with you and tuned over time.
Access decisions are based on verified identity and device posture, not on being inside a network perimeter. Every request to a workload or service is authenticated and authorized. This limits how far a compromised credential or host can reach.
SOC 2, HIPAA, GDPR, and PCI DSS are evaluated as continuous controls, with evidence captured as the controls run. Where you target other frameworks, we map the same control set so you are not maintaining separate evidence trails for each audit.
Standing access is replaced with time-boxed, approved grants. An engineer requests access to a system, the request is approved through policy, and the access expires automatically. This shrinks the window in which any single credential is useful to an attacker.
Pricing is scoped to your platform footprint, the number of environments, and whether you want an advisory engagement or fully managed platform operations. Most engagements begin with a baseline assessment, then move to a managed retainer. Contact us for a tailored proposal.
The first guardrails typically enforce within weeks, starting in monitor mode and graduating to blocking as confidence builds. Rollout is pipeline by pipeline in risk order.
Guard and Implement, run continuously: guardrails enforce policy, drift closes in minutes, and the evidence pipeline feeds the quarterly Board readout in Enhance.
Book a session with a Principal Engineer. We look at how your platform enforces security today and where policy as code would close the gaps.