Govern Before Execution: SWGI™ is Now Live on Google Cloud Marketplace
- Donald Marshall
- Jul 25
- 7 min read
AI agents and distributed workloads are moving faster than the controls designed to govern them. Axis Systems built SWGI™ to close that gap at the point that matters most: before execution begins.
Today, SWGI™ is live on Google Cloud Marketplace, giving enterprises and public-sector organizations a direct path to evaluate and procure deterministic execution governance for AI agents, Google Kubernetes Engine (GKE), distributed cloud, confidential computing, critical infrastructure, and other high-consequence environments.
SWGI evaluates authority, policy, identity, runtime context, and workload integrity before compute is released. Authorized work proceeds. Unauthorized work is blocked. Each governed decision can produce a cryptographic Trust Receipt™ that records what was evaluated and why the action was allowed or denied.
AI infrastructure has a new control problem
Traditional security tools remain essential, but most are strongest after a process has started: they monitor behavior, collect telemetry, detect anomalies, or trigger a response. Agentic AI changes the stakes because a software agent can invoke tools, retrieve data, create transactions, modify systems, and launch additional workloads at machine speed.
The OWASP Top 10 for Agentic Applications highlights risks such as tool misuse, identity and privilege abuse, goal hijacking, and cascading failures. CISA’s guidance for the secure adoption of AI similarly underscores the need to govern how AI systems are deployed and operated.
That creates a practical question for every CISO, platform leader, AI program owner, and infrastructure executive:
Before this agent or workload consumes compute, calls a tool, touches a protected resource, or changes system state, is it actually authorized to do so?
SWGI is designed to make that decision explicit, deterministic, and provable.
What is AI execution governance?
AI execution governance is the control layer that determines whether a requested action should be allowed to run before resources are committed.
It brings together five decision inputs:
Authority - Is the actor permitted to request this action?
Policy - Does the request satisfy the applicable organizational and operational rules?
Identity - Is the human, service, agent, or workload identity valid for this context?
Context - Are the timing, location, environment, purpose, and requested resource appropriate?
Workload integrity - Is the code, model, container, or execution package in an approved state?
Those inputs are evaluated at a pre-execution decision boundary. A valid request is released to the approved environment. A request that fails the authority test is denied before it consumes the protected compute path.
This complements zero-trust architecture. NIST SP 800-207 describes policy enforcement around access to enterprise resources. SWGI extends that control logic to workload and state-transition authority: not only “may this identity connect?” but also “may this specific workload execute this specific action under these conditions?”
How SWGI works: authorize, execute, prove
SWGI is built around a simple operating sequence.
1. Authorize
SWGI evaluates the requested action against policy, identity, context, authority, and workload conditions before execution.
2. Execute or block
Authorized workloads proceed into the customer’s approved compute environment. Unauthorized workloads are blocked at the governance boundary.
3. Prove
The decision can generate a cryptographic Trust Receipt™: durable evidence of the decision inputs, policy result, and authorization outcome.
The result is a control model that is useful to security, compliance, platform engineering, FinOps, and executive stakeholders at the same time. Security teams gain a deterministic gate. Platform teams gain a clear authorization path. Audit and compliance teams gain decision evidence. Infrastructure leaders gain a way to identify work that never should have consumed capacity.
Security and compute efficiency are the same decision
Every unauthorized or unnecessary workload that reaches runtime creates more than a security concern. It can also consume CPU or GPU cycles, memory, power, cooling, storage, network capacity, and telemetry resources.
Axis Systems refers to this avoidable execution as ghost compute: infrastructure activity that consumes capacity without producing an authorized business outcome.
Because SWGI acts before execution, it is designed to help organizations:
prevent unauthorized workloads from consuming protected compute;
reduce unnecessary workload launches and duplicate activity;
lower avoidable telemetry and response overhead;
expose recoverable capacity across distributed environments;
reduce power and cooling burdens associated with unproductive execution; and
improve the effective utilization of existing infrastructure.
Actual efficiency and capacity outcomes depend on workload design, traffic patterns, policies, and deployment conditions. That is why Axis begins with an Authority Validation rather than an unsupported blanket claim of savings.
Built for Google Cloud, GKE, and Distributed Environments
SWGI is available through Google Cloud Marketplace and is designed for customer-controlled deployment into Kubernetes and distributed infrastructure environments.
For teams operating on Google Kubernetes Engine (GKE), SWGI can serve as a pre-execution authority layer for selected workloads, agents, services, and state transitions.
For organizations operating across on-premises, edge, sovereign, or disconnected environments, Google Distributed Cloud provides current Google Cloud terminology for those deployment patterns.
The SWGI data plane is designed to remain with the customer’s environment. Customer workload data does not need to be moved into a shared Axis data plane for governance.
Google Cloud Marketplace provides a commercial path for discovery, procurement, billing, entitlement, private-offer structures where applicable, and metered usage.
Axis Systems also maintains a profile in the Google Cloud Partner Directory, giving customers an additional route to evaluate Axis within the Google Cloud partner ecosystem.
Participation in Google Cloud Marketplace and the Partner Directory describes Axis Systems’ listing and partner-channel position; it should not be read as a Google endorsement of every product claim or customer outcome.
Extending hardware-rooted trust with Intel
Confidential computing helps protect data in use by isolating workloads and supporting hardware-backed security controls. Intel® technologies such as Intel® Trust Domain Extensions (Intel® TDX) provide a foundation for confidential virtual machines and attested environments.
SWGI addresses the next decision: after the environment is trusted, is this workload authorized to execute here, now, for this purpose?
That creates a complementary stack:
Intel confidential-computing capabilities can help establish a hardware-rooted trust boundary.
SWGI can evaluate the authority and policy conditions for execution.
Trust Receipts can preserve evidence of the authorization decision.
Axis Systems participates in the Intel® Partner Alliance and maintains an Intel partner storefront, supporting discovery and ecosystem alignment for organizations building on Intel® Xeon® and confidential-computing infrastructure.
A public-sector path through Carahsoft
Government and public-sector organizations face a specific combination of requirements: mission assurance, controlled data handling, audit evidence, procurement discipline, and deployment across cloud, edge, sovereign, and sometimes disconnected environments.
SWGI is available through Carahsoft, providing a public-sector distribution and quotation path for qualified government, education, healthcare, and regulated-sector opportunities.
Carahsoft helps connect public-sector buyers with technology vendors and applicable procurement vehicles. Vehicle availability and purchasing eligibility should be confirmed for each customer and transaction.
Where SWGI creates the most immediate value
AI agents and tool-using systems
Govern whether an agent may call a tool, access a protected resource, launch a workflow, or change system state before the action begins.
Kubernetes and GKE workloads
Apply deterministic authority checks to selected containers, services, jobs, and workload transitions across customer-controlled Kubernetes environments.
Confidential computing
Connect hardware-backed isolation and attestation with policy-bound workload authority and cryptographic decision evidence.
Sovereign and regulated AI
Support customer-controlled governance for environments with jurisdiction, residency, mission, or operational-separation requirements.
Critical infrastructure and autonomous systems
Place a deny-by-default authority gate in front of high-consequence actions involving energy, communications, transportation, robotics, operational technology, and other physical systems.
Data-center and cloud efficiency
Identify and prevent avoidable execution so organizations can recover effective capacity before committing to additional infrastructure.
Start with a 30-day Authority Validation
The strongest enterprise technology sale is not a broad promise. It is a bounded proof tied to a consequential workload.
Axis Systems’ Authority Validation is designed to establish the technical, operational, and economic case for SWGI in approximately 30 days. The engagement selects one high-impact workload or agent flow, defines its authority conditions, implements a controlled governance boundary, demonstrates allow-and-deny behavior, and produces a decision-evidence and rollout package.
The validation is intended to answer four questions:
Can SWGI stop an unauthorized action before execution?
Can authorized work continue without losing operational control?
Can Trust Receipts produce useful evidence for security, audit, and operations?
Is there a measurable security, capacity, or cost case for broader deployment?
From there, Axis and the customer can define an Authority Domain rollout across additional workloads, business units, environments, or mission systems.
Frequently asked questions
Is SWGI another runtime monitoring or observability tool?
No. Monitoring and observability explain what is happening or what already happened. SWGI is designed to determine whether a workload or action is authorized before execution. The two approaches can operate together.
Does SWGI replace zero trust, IAM, policy engines, or confidential computing?
No. SWGI is a complementary execution-governance layer. It can use identity, policy, context, integrity, and attestation inputs to decide whether a specific action should be released.
Where does SWGI run?
SWGI is designed for customer-controlled Kubernetes and distributed infrastructure environments, including GKE, confidential-computing deployments, and on-premises or edge patterns. The exact architecture is scoped during the Authority Validation.
Does customer workload data have to leave the customer environment?
The product is designed so that the customer-hosted data plane remains in the customer environment. Deployment, integration, telemetry, and data-handling details should be confirmed for the selected architecture and Authority Domain.
Is SWGI available for public-sector procurement?
Axis Systems is available through Carahsoft for public-sector distribution and quotation. Applicable contract vehicles and customer eligibility must be confirmed for the specific transaction.
Does SWGI certify compliance?
No. SWGI is designed to support governance, control, and evidence objectives. It does not, by itself, certify an organization’s compliance with a law, regulation, or framework.
Govern the decision that comes before compute
AI infrastructure will continue to become faster, more autonomous, and more distributed. The control architecture must move earlier in the execution path.
SWGI gives organizations a deterministic way to decide what may run, block what should not run, and preserve evidence of the decision - before protected resources are consumed.
Axis Systems, SWGI™, and Trust Receipt™ are trademarks or claimed marks of Axis Systems. Google Cloud, Google Kubernetes Engine, and GKE are trademarks of Google LLC. Intel, Intel Xeon, and Intel TDX are trademarks of Intel Corporation or its subsidiaries. Carahsoft is a trademark of Carahsoft Technology Corp. References to ecosystem participation, directories, storefronts, or distribution channels describe commercial availability and do not imply an endorsement of every claim or outcome.
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