Synoptix AI vs Microsoft 365 Copilot

Only retrieves data stored within your Microsoft 365 tenant via Microsoft Graph, making any external system invisible to the AI.

Connects to 60+ data sources including Salesforce, Jira, ServiceNow, SQL, Google Drive, and scanned PDFs — all in one unified search.

Cannot access Salesforce, Jira, ServiceNow, or any non-Microsoft source without custom Graph connector development by your IT team.

Retrieves answers across structured and unstructured data simultaneously using hybrid vector and keyword search.

Context is limited to the specific M365 app a user is working in at the time — not a unified view across the enterprise.

Proprietary Data Ontology assigns authority scores to each source, so conflicting data is ranked and the most reliable answer surfaces first.

Responses do not include confidence scores, data lineage, or source authority ranking, leaving users unable to verify AI outputs.

Knowledge graph maps relationships across people, documents, projects, and systems — giving AI responses deeper enterprise context.

Expanding data coverage beyond M365 requires additional licensing, connector configuration, and ongoing maintenance overhead.

Every answer links back to its source document, specific field, and originating system so users always know where information came from.

The Copilot product itself is not IRAP certified. Microsoft Azure infrastructure holds the certification but the Copilot application layer does not.

SynoGuard covers all 10 OWASP LLM risks including prompt injection, PII redaction, toxicity detection, and output validation as a dedicated security layer.

No dedicated LLM-layer security module exists. Security relies on Purview, Defender, and Entra which operate at infrastructure level, not per-response.

Four-tier data classification from Public to Restricted is enforced at the retrieval layer so sensitive data is never surfaced to unauthorised users.

No confidence scoring or data lineage is attached to individual AI responses, making compliance audits difficult to evidence.

Full audit trails log every data access event including who queried what, which source was used, and what the AI responded.

ASD Essential 8 compliance requires additional Microsoft security stack configuration and is not guaranteed out of the box with a Copilot licence.

IRAP certified and ASD Essential 8 compliant — the only platform in this comparison suitable for Australian Government procurement.

No human-in-the-loop controls are built into the core product for reviewing AI-generated content before it reaches end users.

Human-in-the-loop review is built into the platform, requiring approval on generative content before it is acted upon or shared.

Locked to Microsoft's GPT-series model family with no ability to select, switch, or host an alternative model.

Fully model-agnostic across 124+ catalogued LLMs including Claude, Gemini, Llama, Mistral, and GPT — with benchmarks on cost, quality, and speed.

All AI inference runs on Microsoft's cloud infrastructure with no option to move model processing into your own environment.

Any model can be hosted inside the client's own Azure, AWS, or Google Cloud environment so data never leaves your infrastructure to reach the AI.

No BYO model capability. Organisations cannot deploy a custom fine-tuned or open-source model through the Copilot platform.

BYO model is fully supported — bring proprietary or fine-tuned models into the same platform and governance layer.

Cloud-only deployment makes it unsuitable for organisations with strict data residency, on-premise, or air-gap requirements.

Supports dedicated cloud, private cloud, and full on-premise deployment including air-gapped data centres for defence and critical infrastructure.

High total cost of ownership. The $30 Copilot add-on requires an existing M365 E3 ($36/user/month) or E5 ($57/user/month) licence first.

Flexible pricing across consumption-based, per-user, or custom enterprise contracts — 30-day free trial with no prerequisite licensing required.