Loading…
Secure AI Adoption
AI security is more than installing cybersecurity software. It requires clear ownership, business-managed identities, data boundaries, narrowly scoped permissions, human controls, monitoring, and an incident response path.
Shadow AI occurs when employees adopt tools without central approval. A useful program inventories current use, decides what is permitted, provides safer alternatives, and documents how sensitive information should be handled.
Set clear rules for customer, financial, contract, HR, proprietary, credential, regulated, and internal-document data.
Use business-owned accounts, MFA, role-based access, administrative ownership, clean offboarding, and avoid shared accounts.
Define approved tools, prohibited data, review duties, escalation, record handling, and consequences in language employees can follow.
Learn more →For a focused review, see AI Risk & Shadow AI Control.
An agent may reach email, files, CRM, calendars, ticketing, APIs, knowledge bases, or communication platforms. It should receive only the tools, records, actions, and duration required for its approved job.
Separate read from write access; restrict records, mailboxes, folders, and environments wherever the platform supports it.
Require approval before external communications, record changes, purchases, customer-data changes, deletions, money movement, permission changes, or other high-impact actions.
Record relevant activity, failures, approvals, and ownership so behavior can be reviewed and access can be withdrawn.
Prompt injection is an attempt to make an AI system follow malicious or conflicting instructions embedded in content it reads. Connected agents increase exposure because an unsafe instruction may be paired with tool access. External email, documents, web pages, and retrieved content should not automatically be trusted; tool permissions and approval gates limit the possible impact.
Vendor review should consider data usage and model-training policies, retention, deletion, account and admin controls, enterprise or business terms, integrations, logging, support, geographic or contractual requirements, and how data moves through connected systems. The result is an informed decision—not a guarantee.
A practical review of accounts, data, tools, integrations, agents, employees, and monitoring.
Learn more →Understand direct and indirect manipulation risks for connected AI agents.
Learn more →Use a vendor-neutral framework for accounts, data, employee behavior, settings, and policy.
Learn more →Review CUI, FCI, proprietary-data, knowledge retrieval, and human-control boundaries.
Learn more →Apply document, board, enforcement, financial, and resident-data guardrails.
Learn more →Evaluate ChatGPT, Claude, Gemini, and Copilot through ecosystem and governance fit.
Learn more →