Security & Compliance
FieldLock Runtime Stability Infrastructure
Does FieldLock access model internals?
No.
FieldLock does not access:
model weights
gradients
hidden states
internal activations
training data
FieldLock operates exclusively on output-level telemetry generated during inference.
Does FieldLock require access to training data?
No.
FieldLock does not ingest, inspect, or store training data of any kind.
Does FieldLock retain prompts or generated content?
By default, no.
FieldLock does not retain prompts or outputs unless explicitly configured to do so under a governed data policy.
Retention, redaction, and storage rules are configurable per deployment and can be aligned with internal data governance requirements.
Does FieldLock modify model behavior?
No, not during measurement.
FieldLock operates in read-only / observe-only mode by default.
Any discussion of stabilization or enforcement occurs only after:
a Validation Pilot
explicit customer approval
and clearly defined governance constraints
Measurement always precedes intervention.
Can FieldLock be deployed in regulated environments?
Yes.
FieldLock is designed for environments with strict regulatory, security, and compliance requirements, including:
financial services
healthcare and life sciences
government and defense
critical enterprise systems
Deployment can be isolated within:
private VPCs
on-prem environments
air-gapped or restricted networks
Does FieldLock expose model IP or proprietary logic?
No.
Because FieldLock does not access model internals, it does not expose:
proprietary model parameters
architecture details
vendor-specific inference logic
This makes FieldLock compatible with both closed-source and open-source model providers.
Is FieldLock compatible with vendor confidentiality agreements?
Yes.
FieldLock’s output-only integration avoids inspection of protected model internals, enabling deployment without violating model provider terms or confidentiality agreements.
How does FieldLock integrate with existing security controls?
FieldLock integrates as a non-invasive observability layer, similar in posture to logging or monitoring tools.
It does not require:
changes to inference runtimes
changes to prompt logic
changes to application orchestration
All access is scoped, auditable, and governed.
What data does FieldLock actually ingest?
FieldLock ingests output-level telemetry only, such as:
token sequences or output chunks
timing and sequencing metadata
turn and session boundaries
tool-call structure (if present)
No semantic labeling, classification, or interpretation of content meaning is required.
Is data encrypted in transit and at rest?
Yes.
FieldLock supports:
encrypted transport (TLS)
encrypted storage where retention is enabled
Deployment configurations can align with existing enterprise encryption and key-management standards.
Does FieldLock support audit and compliance workflows?
Yes.
FieldLock produces structured, exportable artifacts designed for:
internal audits
risk and compliance reviews
regulatory inquiries
board and executive reporting
These artifacts describe runtime stability behavior, not model content.
Does FieldLock store personally identifiable information (PII)?
Not by default.
FieldLock does not require PII for operation.
Where outputs may contain sensitive data, deployments can be configured with:
redaction
hashing
anonymization
zero-retention policies
to meet internal privacy standards.
Can FieldLock be disabled or removed safely?
Yes.
FieldLock can be:
enabled
disabled
or removed
without disrupting model serving or application logic.
It does not introduce hard dependencies into the inference stack.
How does FieldLock differ from AI safety filters or content moderation?
FieldLock does not evaluate what content is generated.
It evaluates how behavior evolves over time.
It complements safety and moderation tools by addressing a different class of risk: runtime instability.
What is the security posture during a Validation Pilot?
During a Validation Pilot:
FieldLock operates in observe-only mode
scope and data sharing are explicitly governed
no behavior modification occurs
all access boundaries are agreed in advance
The pilot produces evidence, not changes.
Who controls data governance and access?
The customer does.
All deployments operate under:
customer-defined data boundaries
customer-approved retention rules
explicit access controls
SubstrateX does not require standing access beyond the agreed engagement scope.
Is FieldLock compliant with SOC 2 / enterprise security standards?
FieldLock is architected to support SOC 2–aligned controls, including:
access logging
separation of duties
controlled data handling
audit-ready artifacts
Specific compliance mappings are available during procurement or security review.
Why is output-only integration considered safer?
Output-only integration:
minimizes attack surface
avoids exposure of proprietary internals
simplifies compliance review
reduces long-term maintenance risk
It is the most conservative integration posture available for runtime monitoring.
Who should review FieldLock from a security perspective?
Typical reviewers include:
Security architecture teams
Privacy and data governance leads
Compliance and risk officers
Procurement and legal teams
SubstrateX supports structured security reviews as part of Validation Pilots and deployment planning.
How can we initiate a security or compliance review?
To begin a security-focused discussion:
➡️ Request a Validation Pilot
➡️ Speak with the Founding Team
We will work within your security, privacy, and compliance frameworks from the first interaction.
Closing Note
FieldLock is designed to make runtime stability measurable without introducing new security risk.
It integrates like observability — not like control.

