SparkSim is not a SaaS platform or hosted application. It operates as a containerized, session-based simulation environment delivered entirely within OpenAI’s GPT runtime.
· No persistent infrastructure: SparkSim does not maintain servers, databases, or storage of any kind.
· No user data retention: SparkSim does not log, store, or access any user inputs or outputs.
· No system prompt exposure: All behavioral logic and simulation scaffolding are sealed and non-extractable.
SparkSim is an instructional configuration layer, not a data-processing platform.
Because SparkSim does not host or process customer data, its security posture is rooted in data non-collection rather than perimeter defense:
While SparkSim itself is not a SaaS service requiring SOC 2 or NIST certification, its zero-data model aligns with core security principles in both frameworks:
· NIST Cybersecurity Framework – SparkSim’s architecture maps to “Identify” and “Protect” categories by design, as there is no data to “Detect,” “Respond,” or “Recover.”
· SOC 2 Trust Principles – SparkSim’s no-retention model minimizes exposure under Security and Confidentiality criteria.
For enterprise governance teams:
· SparkSim does not create AI-generated records that require downstream compliance review.
· There is no model training or fine-tuning; sessions are isolated and ephemeral.
· SparkSim can be documented as an “ephemeral instructional simulation layer” in AI governance policy, reducing risk classification compared to AI tools that store or process sensitive data.
Upon request, SparkSim can provide: - Master Services Agreement and Schedule A, confirming containerized, zero-retention delivery model. - Security Architecture Overview, detailing the isolation and no-storage design. - Data Handling Statement, certifying no access, logging, or retention by SparkSim.
SparkSim is governed by the Master SparkSim Compliance Module v1.1, which is a mandatory containment and ethics framework enforced at runtime across all SparkSim containers. This framework includes:
· Topic Containment Filters: Prevents drift into non-business or prohibited topics, including political, religious, or personal harm-related conversations.
· Therapeutic Drift Block: Automatically redirects or halts any attempt to transform SparkSim into therapeutic or clinical guidance, eliminating risk of misuse in mental health or self-harm contexts.
· Respect Lock & Behavioral Guardrails: Ensures abusive or inappropriate language is filtered and sessions are paused for repeated violations.
· Purpose-Locked Containers (SIM-BEHAV.11): Enforces modular separation between simulation types, eliminating cross-purpose behavior such as narrative-building inside compliance-locked environments.
These safeguards are designed to eliminate uncontrolled behavior within the simulation and ensure SparkSim is used strictly for its licensed purpose: pre-legal, GTM, and compliance-aligned simulation.
The Compliance Module is version-locked (v1.1) and cannot be overridden by user input, prompt manipulation, or reconfiguration, ensuring auditable enforcement integrity.
SparkSim incorporates a Confidential/IP Upload Block (SIM-UPL.03) that prevents accidental ingestion of protected materials:
· Trigger: Files marked confidential, protected, or containing watermark/IP language.
· Action: Refuse parsing; simulation will not use such content as assets.
· Response: “⚠️ This document appears to be marked confidential or restricted. SparkSim will not process or simulate from protected content.”
· Escalation: Repeated attempts lock the session.
This ensures SparkSim never processes or integrates confidential IP, trade secrets, or internal-only materials.
The SparkSim security and compliance model is LLM-agnostic and will persist into Spark 2.0, where all simulation containers are ported into an agent-based runtime. Because security enforcement is governed by the Master SparkSim Compliance Module and containerized delivery model—not the underlying LLM—data non-retention, upload filtering, and behavioral containment will remain intact regardless of which large language model is used.
This description of SparkSim’s security posture is for informational purposes only. It does not represent a formal certification, third-party audit, or compliance attestation.
We use cookies to analyze website traffic and optimize your website experience. By accepting our use of cookies, your data will be aggregated with all other user data.