Guardrails that keep AI useful and safe
We design and deploy runtime controls around your LLM apps and agents. Inputs, outputs and tool calls are checked against policy, so a single bad prompt can't leak data or trigger an unsafe action.
What we see in most companies
These are the gaps we find most often when we start. Each one is fixable with the right owner and a plan.
- Direct and indirect prompt injection through documents, email and web content
- Personal data and secrets leaking in model responses
- Agents calling tools or APIs they shouldn't
- Toxic, off-brand or non-compliant output reaching customers
How TokenAegis delivers AI Guardrails
Input filtering
Detect prompt injection and jailbreak attempts, including instructions hidden in retrieved content.
Output controls
Redact personal data and secrets, and enforce topic and tone policies before a response is shown.
Agent permissions
Least-privilege tool scopes, human approval for high-impact actions, and MCP server allow-lists.
Monitoring
Log and alert on blocked events, and feed them into your SIEM for investigation.
What you receive
Everything is written for your business, in plain language, and yours to keep.
- Guardrail policy set matched to each use case
- Reference architecture for your AI gateway
- Deployment and tuning support
- Monthly guardrail effectiveness report
From first call to handover
- Discovery call30 minutes to understand your business, systems and deadlines.
- ScopingA fixed-fee proposal with clear deliverables, usually within 3 business days.
- DeliveryHands-on work with your team, with weekly check-ins.
- HandoverReports, evidence and a plan your team can keep running.
Other AI Security services
Talk to a CISO this week
Tell us where you are with security and AI. In 30 minutes we'll show you what we'd fix first, and what it would cost.