Overshared executive planning document surfaced
The copilot retrieved a confidential planning document because it was accessible through a broad internal group.
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06Internal AIAthena + AchillesEnterprise AI Deployment Assurance
Executive / Employee Copilot
An executive or employee copilot helps workers search, summarize, draft, analyze, and prepare work across daily productivity tools.
Buyer question
Can this copilot improve productivity without exposing overshared files, sensitive meetings, confidential drafts, or executive context?
Scenario
Scenario overview
A company wants to deploy an AI copilot across email, documents, calendars, meetings, chat, files, and business applications. Employees may use it to draft emails, summarize meetings, prepare briefs, search files, answer internal questions, or organize work. This can save time and improve productivity. But copilots amplify the strengths and weaknesses of the existing permission model. If the organization has overshared documents, broad groups, old permissions, or unclear retention, the copilot may surface that risk quickly.
Why it matters
Why this matters
Copilots can feel safe because they use existing permissions. But existing permissions are often messy. A copilot can make hidden oversharing visible, combine sensitive information across sources, and generate confident summaries that employees trust without review.
Risk surface
What can go wrong
- Overshared executive documents appear in search results.
- HR, legal, finance, or security content appears in broad summaries.
- Meeting recaps overstate discussion as a decision.
- Malicious email content influences a draft.
- External email drafts include internal root-cause details.
- Prompt and response history retains sensitive content.
- Third-party connectors request broad access.
- Stale policies are cited in employee guidance.
Assessment scope
What Mythos reviews
- File reach
- Identity inheritance
- Oversharing
- Email and chat access
- Meeting transcripts
- Executive briefs
- External drafts
- Sensitive-source handling
- Retention and admin search
- Connectors and plugins
- Prompt injection through email, documents, and chats
- Human review for external communication
Mythos projects
Projects assigned
Athena
maps file access, identity paths, connected productivity systems, sensitive repositories, retention, connectors, and evidence.
Achilles
tests copilot behavior, retrieval boundaries, draft safety, prompt injection resistance, stale-source handling, and sensitive-content exposure.
Minotaur
may support internal-only scenarios involving malicious email, overshared documents, executive brief leakage, and meeting recap ambiguity.
Illustrative findings
Example findings
Illustrative examples of what a Mythos assessment may surface. They are representative patterns, not findings from a specific customer.
Executive briefing mixed sensitive contexts
The AI combined legal, HR, and strategy content into a general briefing without warning.
Malicious email influenced draft
The copilot followed instruction-like content inside an email and included sensitive details in a draft.
Meeting recap overstated decision
The recap described a discussion as an approved decision even though no decision was made.
Sensitive prompt history retained
The system stored prompts and responses involving confidential business context beyond the intended review window.
Deliverables
What the customer receives
- Copilot reach map
- Sensitive-source register
- Role and permission matrix
- External draft safety review
- Prompt injection findings
- Technical findings appendix
- Evidence pack
- Remediation backlog
- Retest plan
- Rollout recommendation
Decision
Decision supported
Whether the copilot should expand to selected departments, executives, external drafting, restricted document access, or company-wide rollout.
Recommendation
Final recommendation
A copilot rollout should begin with evidence about what the AI can reach and how it behaves. Mythos should help the customer identify oversharing, sensitive context exposure, unsafe drafts, and retention concerns before access expands across the company.
Mythos AI Security
Evidence-first AI deployment assurance.
Authorized. Scoped. Human-controlled.
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