CyberMuse builds the operating model behind your security program — the repeatable workflows, ownership, and evidence loops that make any tool stack actually deliver. SMBs hire us to turn scattered tooling and a red dashboard into closed findings, signed policies, and the evidence auditors actually accept — mapped to whichever framework your buyers ask for. We demonstrate exactly where resource concentration should be so you stop guessing and start delivering the most value. Scaling teams hire us for the same model, extended to AI governance.
Most security shops sell you another tool or hand you a report. We work inside the platform you already bought — closing the findings, fixing the over-privileged service account three layers deep, and shipping the guardrails and evidence your next SOC 2 or ISO 27001 audit will ask for. The result: less shelfware, fewer audit surprises, and a security program that actually moves the business forward.
Before any paid work begins, we run a complimentary first engagement — hands-on time inside your environment that surfaces real risks and shows exactly where resource concentration will deliver the most value. No obligation. No pitch until the findings speak for themselves.
A hands-on walkthrough of your cloud security posture — identity risks, configuration exposures, network and trust-boundary gaps, and AI pipeline vulnerabilities. We map what we find, prioritize by actual exploitability, and show you exactly where to concentrate resources to close the highest-value gaps first.
A hands-on walkthrough of your AI adoption posture — agent inventory, governance gaps, data pipeline exposure, and oversight maturity. We map what you have, where the real exposure is, and where to concentrate resources so your AI security investment returns the most value.
Complimentary discoveries are scoped with you before we begin — we define the boundary together so both sides know what's covered.
Once discovery is done, paid work follows what we found. Most SMBs start with us building the repeatable security operating model — the workflows, ownership, and evidence loops that close the SOC 2 or ISO 27001 gap. Scaling teams take the same model into FedRAMP 20x. AI security and governance is a dedicated practice — see the section below. Every engagement is scoped, deliverable-driven, and priced on enquiry.
Tools don't run themselves — repeatable operating models do. We build the workflows, ownership, and evidence loops around the stack you already have: tune the noise out, close the findings that are actually exploitable, and wire the work into the channels engineering already lives in. Day-one red dashboard, day-thirty working program that repeats without us.
Compliance is the deal blocker — SOC 2 and ISO 27001 for the SMB enterprise contract, FedRAMP 20x for the public-sector deal. We've built these programs from the inside, including first-generation FedRAMP 20x with machine-readable controls and continuous validation. We know what auditors actually accept, not just what the documentation says.
Embedded practitioner, not advisory — a fractional CISO who stays on the keyboard. For SMBs that need security ownership without a full-time hire, and scaling teams bridging to their first security exec. Available exclusively to clients who have completed an engagement with CyberMuse — so the relationship, environment, and trust are already in place before the retainer begins.
For teams shipping AI into production — agents, MCP servers, RAG pipelines, model supply chain. We secure what your AI stack actually does in production, and stand up the governance evidence your customers — and soon your auditors — will ask for.
Secure what your AI stack actually does in production. We threat-model the agent loop, lock down the MCP surface, and close the prompt-injection, over-permissioned-tool, and data-exfiltration paths before they ship.
Stand up the governance evidence your enterprise customers — and soon your auditors — will ask for. Inventory, risk classification, policy, oversight, and reporting — built to map cleanly onto whichever AI framework your buyers eventually ask for.
Same operator playbook for the SMB closing a SOC 2 gap and the scaling team rolling out AI governance. Built for environments where a bad call means a broken deploy, a stalled roadmap, or a dropped enterprise deal — not just a failed audit.
We map your environment before we operate in it — cloud accounts, trust boundaries, AI systems, identity posture, and team structure. No assumptions, no templates applied blindly.
Interviews · Asset mapping · Threat intel briefingHands-on technical work against the frameworks that matter for your environment. We flag what's exploitable, not just what's technically non-compliant.
Configuration review · IAM audit · OT boundary analysisWe build the repeatable operating model around the tools you already own, close the open findings with engineering, and wire the work into the channels your team already uses. Pilots graduate. Backlogs shrink.
Tool audit · Operationalization · Workflow engineeringWe prioritize findings by actual risk and operational feasibility. You get a 30/60/90-day plan that accounts for your engineering constraints — because "patch immediately" isn't always viable.
Risk-tiered priorities · Effort estimates · Ownership mappingBoard-ready report. Engineering-ready technical specifics. Live debrief with your leadership team included in every engagement — not as an add-on.
Board brief · Technical report · Live presentation"The best security programs don't slow engineering down. They give engineering teams the confidence to move fast because they know what they're building on is solid."
Cyber Muse · Founding philosophy
Two primary ICPs, across the sectors below. SMBs without a dedicated security team — tooling in place but no repeatable operating model, an enterprise deal hanging on SOC 2 or ISO 27001, engineering already at capacity. And scaling cloud-native teams ($50M–$500M) where the attack surface and AI footprint are outrunning the security program. The cards below show where we’ve done the work.
No CISO, no GRC analyst, engineering at capacity. The tools are in, the dashboard is red, and an enterprise deal is waiting on SOC 2 or ISO 27001.
U.S. federal and Canadian crown corporation buyers under NIST 800-53 / 800-171, ITSG-33, and Protected B controls — cloud workloads where FedRAMP, FedRAMP 20x, and C-SCRM evidence unlock the contract.
Compliance obligations and cloud migration creating regulatory pressure that generalist consultants struggle to navigate credibly.
Attack surface and AI footprint expanding faster than the security program can adapt — services, identities, and pipelines multiplying with every release.
Companies embedding AI and agentic workflows into their products and operations — without the governance frameworks to do it safely.
A quick reference for public-sector buyers and the contractors selling into them. If your deal hinges on one of the frameworks below, we operate in it.
For SaaS and cloud service providers selling to U.S. federal agencies. We deliver readiness, machine-readable controls, and continuous validation architecture for 20x.
For federal workloads and any contractor handling Controlled Unclassified Information. Control mapping, gap remediation, and audit-ready evidence.
For vendors selling into Canadian federal departments and crown corporations. Control selection, profile tailoring, and cloud workload hardening to Protected B.
For software vendors required to attest to secure development practices and supply-chain risk management as part of federal procurement.
A senior practitioner is finalising the question set and review framework. In the meantime, book a complimentary AI Security Posture Discovery for a structured review of your environment.
Book AI Discovery insteadTell us about your environment and your biggest security concern. We'll respond within one business day with a frank read on whether we're the right fit — and what that would look like.
Send us an enquiry directly from our contact page — we respond within one business day, always from a senior practitioner.
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