Shadow AI, prompt injection, data leakage, model risk — the surface area is real and growing. We help you say yes to AI with controls you can defend.
Enable safe enterprise AI adoption with governance, monitoring and controls that satisfy regulators, auditors and the board — without becoming the department of "no".
A clear, enforceable policy for AI usage across the company, with tooling that makes the right thing the easy thing.
Model registry, data classification, allowed-model lists and per-use-case approvals.
Prompt-injection defences, tool sandboxing, output validation and safe-by-default agent scaffolding.
Detection for anomalous usage, cost spikes, data exfiltration attempts and prompt-injection patterns.
A single choke point for all LLM traffic — with auth, per-app quotas, redaction and logging.
Deterministic and model-based redaction before prompts leave your perimeter.
Red-team suites for prompt injection, jailbreaks and unsafe outputs, wired into CI.
Approval workflows for high-risk actions, with clear escalation and audit.
Employees pasting sensitive data into public LLMs. Solved with an approved internal alternative and DLP.
Attacker text hijacks your agent. Solved with input isolation, tool scoping and output validation.
Sensitive data baked into a model. Solved with data-classification gates and approved training pipelines.
GDPR, DPDP, PDPL, HIPAA, RBI, IFSCA overlap. Solved with mapped controls and evidence packs.
Discover shadow AI, publish the AI usage policy and stand up a model registry.
Deploy the AI gateway, PII redaction and eval-based safety in the first business unit.
Produce the auditor evidence pack, extend controls company-wide and integrate with SIEM/SOAR.
Production-grade GPT, Claude, Gemini and open-source LLMs — grounded in your data.
Explore serviceMulti-agent architectures that plan, use tools and complete complex tasks.
Explore serviceAI-native automation that reads, decides and acts across your systems.
Explore serviceNo. The AI gateway integrates with your existing SIEM, DLP, IAM and secrets management — we add AI-specific detections on top.
We isolate untrusted inputs, scope tool access per agent, validate outputs against schemas, and run continuous red-team suites — assumption of hostile input is default.
Yes. We deploy into Azure OpenAI, AWS Bedrock, GCP Vertex, private cloud and on-prem, with mapped controls for HIPAA, DPDP, PDPL, RBI and IFSCA.
You do. We stand up the frameworks, tooling and evidence — and hand over ownership to your risk and security organisation.
Talk to a senior AI consultant from T7 about your industry, workflow, or product idea. Free, no commitment — reply within one business day.