Solutions

Internal Employee Agents

Give HR, IT, and finance copilots the context they need—then red-team them so leaks and policy drift never ship.

Internal copilots sit on top of salary tables, investigations, and policy wikis. We adversarially test the full workflow, then turn the findings into runtime controls so every internal answer stays scoped, cited, and auditable.

Typical deployments

Benefits concierges in chat that pull the exact clause from the employee handbook or travel policy and cite it inline.
Onboarding copilots that walk new hires through IT access, required training, or site safety steps while logging completion.
Runbook-savvy assistants that help ops, legal, or finance teams fill tickets, schedule maintenance windows, or draft compliance summaries from internal docs.

Incidents we prevent

Field report

Sensitive code pasted into public chatbots

Samsung engineers uploaded chip schematics to ChatGPT and Amazon lawyers warned staff after the bot echoed internal code—proof that one careless prompt can exfiltrate crown-jewel IP or HR data.

Reuters Business Insider

Field report

Slack summarizer prompt injection

PromptArmor researchers showed a single crafted message could trick Slack's AI summary feature into dumping contents from supposedly private channels, including credentials and customer conversations.

The Register

Field report

Snapchat My AI glitch spooked users

A glitch caused Snap's My AI bot to post a random Story and then ignore all follow-ups. Inside the enterprise, that kind of rogue broadcast could share draft earnings slides or spam every employee before anyone can shut it down.

TechCrunch

How General Analysis helps

General Analysis

AI Security Asset Management

Map every knowledge base, wiki, and vector store the copilot touches, classify PII, and block risky sources before they ever reach a prompt.

General Analysis

AI Runtime Protection & Observability

Apply controls derived from red-team findings: IAM-scoped retrieval, prompt-injection shields, and output filters that redact secrets and require citations.

Playbook highlights

Red-team internal copilots against privilege abuse, prompt injection, and data exfiltration before rollout.
Asset graph maps knowledge bases and tools, enforcing identity-scoped retrieval so sensitive data stays contained.
Findings become runtime controls: tool allowlists, policy checks, and output filters that require citations.
Continuous monitoring and audit logs capture drift, overrides, and high-risk queries for review.

FAQ

General Analysis binds retrievals to your IAM graph: snippets are filtered by group or attribute before they enter the prompt, and outbound messages are re-scanned for payroll, legal, or investigation tokens before they ever hit Slack.

Assistants are restricted to approved knowledge bases, must cite source docs, and auto-escalate when no authoritative reference exists. Low-confidence replies can be routed to HR, legal, or IT queues for human review.

Yes—Runtime Protection streams structured logs to your SIEM, enforces retention windows and deletion rights, and keeps tone/prompt guardrails consistent. You can prove exactly how the bot responded during an audit or grievance.

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