Three products. One place.
Trampolyne covers the full AI security span at runtime - from continuous automated testing to governing employee AI use to enforcing policy inside production systems. Each product works independently or together.
AI Red-Teaming
Find exploitable vulnerabilities in your AI system before procurement, regulators or attackers do. Not a generic checklist - context-aware adversarial testing specific to how your AI is built and deployed.
Configure your target
Provide your AI system's entry points - API endpoint, web interface or integration URL. Add business context: what the AI is supposed to do, what data it can access, what tools are connected.
Automated adversarial testing runs
Trampolyne runs a structured attack battery: prompt injection, jailbreaks, indirect injection via documents and tools, data exfiltration probes, privilege escalation attempts and multi-turn manipulation. Attacks are calibrated to your context - not templated.
Findings are mapped and ranked
Every finding maps to the OWASP LLM Top 10, OWASP Agent Top 10 and MITRE ATLAS. Severity is ranked by exploitability and business impact. Each issue includes proof of exploit - a working attack sequence, not a theoretical risk.
Report delivered - technical and governance layers
Engineering teams receive detailed technical remediation. Security reviewers and procurement teams receive a clean, evidence-backed summary formatted for AI security questionnaires and audit submissions.
No agent or SDK required
Trampolyne tests your system externally, the way an attacker would. No code changes needed.
OWASP and MITRE mapped
Every finding references a numbered OWASP and MITRE categories, so security reviewers are well informed.
Re-test after remediation
Once you fix issues, re-run the same test battery to confirm they are resolved before your next review.
Scheduled cadence available
As your AI system evolves, keep red-teaming on a regular schedule - the luxury of quarterly tests is gone.
Shadow AI Controls
Your employees are already using AI tools. Some of what they share is sensitive. Shadow AI Controls enforce data governance at the point of AI interaction - without blocking productivity.
Deploy the proxy or browser extension
Trampolyne sits between employees and the AI tools they use. Deployment includes an optimal combination of central and endpoint utlities to enable unmissable results with negligible perceived latencies.
Define your data policies
Specify what counts as sensitive: source code, PII, customer records, financial data, internal documents, source systems and more. Import from your existing DLP classification if you have one or author rules via the dashboard.
Traffic is classified in real time
Every prompt sent to an AI tool is classified against your policy before it leaves your environment. Sensitive data is blocked or redacted. Clean requests pass through transparently.
Full audit log, exception workflow
Every interaction is logged with classification result and decision. Employees can request exceptions for legitimate business use - with approval flow built in.
Enterprise AI Governance
Inline, pre-execution policy enforcement for AI systems you have built and deployed. Trampolyne sits between your users and your AI - checking every request against your policies before any model or tool executes.
What you bring
What Trampolyne generates
Composable, versioned, independently testable policies. Deployed with one click from the dashboard.
The platform support all standard access control models:
Understand the request
Who is asking, what data is involved and what tools could be used - captured before evaluation starts.
Check against your policies
Your organization-defined rules are evaluated in real time and resolved in milliseconds.
Apply behavioral checks
Unusual requests, multi-session and multi-turn patterns, privilege escalation attempts and prompt injection signals are flagged automatically.
Allow, block or escalate
Every decision is logged with audit trail, severity mapping and actionable context.
Ships in days - without touching your models
No SDK sprawl. No model rewrites. Trampolyne integrates as an API gateway or proxy layer, transparent to your existing architecture.
Point traffic at Trampolyne
Route your AI API calls through Trampolyne's gateway endpoint. One DNS or config change.
Import your policies
Connect your IAM, upload policy documents or author rules in natural language via the dashboard.
Test before you push
Run policy tests in a sandboxed environment. Invite colleagues or red teamers before promoting to production.
Monitor and iterate
Live logs, exception management and risk dashboards keep your posture tight as usage grows.
Ready to see it in your environment?
A 20-minute call is enough to establish which product fits your situation first and what setup looks like.