Adopt GenAI With
Guardrails & Governance
AI usage policies, prompt injection protection, data leakage prevention, vendor evaluation, logging & telemetry, and red-teaming — so you ship AI safely without blocking speed.
Who It's For
Built for Teams That Need
Safe AI Adoption
Whether you're a CISO managing risk or a CTO shipping AI features — governance gives your teams the confidence to move fast without breaking things.
Security & IT Leaders
You need risk controls, monitoring, and policies that keep AI adoption safe without creating a bottleneck for every team.
CTOs & Product Owners
You want to ship AI features fast — but safely. You need guardrails that protect without slowing down engineering velocity.
Compliance & Legal Teams
You need traceability for every AI interaction — who used what, when, and what data was involved. Full audit trail.
Operations Leaders
You're rolling out AI tools across teams and need clear policies on what's allowed, where, and by whom.
Problems We Solve
AI Risks That
Keep You Up at Night
If your teams are adopting AI with no policies, no logging, and no protection against data leakage — you're exposed. We fix that.
Employees using AI tools with no policy or controls
Clear AI usage policies
Fear of sensitive data leaking through AI prompts
Data leakage prevention
No logs or visibility into AI usage and outcomes
Full logging & telemetry
Vendor and model selection confusion — unclear risks
Vendor evaluation framework
Prompt injection risks in customer-facing AI features
Multi-layer injection protection
No way to stress-test AI workflows before launch
Red-teaming & adversarial testing
What We Build
Complete Governance
Framework
From usage policies to red-teaming — everything your organization needs to adopt AI safely and confidently.
AI Usage Policies
Define what's allowed, where, and by whom. Clear guidelines for approved tools, acceptable use cases, and data handling boundaries.
Prompt Injection Protection
Multi-layer defense against adversarial inputs that try to manipulate AI behavior, extract sensitive data, or bypass controls.
Data Leakage Prevention
Prevent sensitive data from being exposed through AI prompts, responses, or training. PII detection, redaction, and boundary enforcement.
Model & Vendor Evaluation
Security and privacy posture assessment for AI vendors and models. Evaluate risks, data handling, and compliance before adoption.
Logging & Telemetry
Who used what AI tool, when, with what data, and what was the outcome. Full visibility for compliance, debugging, and optimization.
Red-Teaming & Adversarial Testing
Stress-test your AI workflows before launch. Simulate attacks, edge cases, and adversarial inputs to find vulnerabilities early.
Risks & Mitigations
Know the Risks,
Own the Controls
Every AI deployment carries risks. Here's how we identify, prevent, and mitigate the most critical threats.
Prompt Injection
Malicious user crafts input that makes your AI ignore instructions, reveal system prompts, or execute unintended actions.
Input sanitization, output validation, system prompt isolation, multi-layer filtering, and adversarial testing before deployment.
Data Leakage
Employee pastes confidential contract into ChatGPT. AI tool sends customer PII to a third-party model for processing.
DLP rules on AI tools, PII detection and redaction in prompts, approved-tool-only policies, and data boundary enforcement.
Rogue Agent Actions
Autonomous AI agent sends unauthorized emails, modifies production data, or takes actions without human approval.
Human-in-the-loop approvals for high-impact actions, tool access controls, action logging, and automatic rollback capabilities.
Model Hallucination
AI generates confident but incorrect answers — leading to wrong decisions, compliance violations, or customer misinformation.
Grounding in approved data sources, confidence scoring, citation requirements, and fallback-to-human flows for low-confidence outputs.
Shadow AI Usage
Teams adopt unapproved AI tools without security review — creating unmonitored data flows and compliance blind spots.
AI tool inventory, approved-tool policies, usage logging across all AI touchpoints, and regular compliance audits.
Vendor Lock-in & Risk
Critical AI workflows depend on a single vendor who changes terms, raises prices, or has a security incident.
Multi-vendor strategy, abstraction layers, regular vendor security assessments, and contractual data ownership protections.
What You Get
Complete Governance
Deliverables Package
Every engagement includes policies, protection layers, monitoring setup, and adversarial testing — built for production from day one.
Policies & Governance
- AI usage policy pack + approved usage guidelines
- Risk register + control mapping
- Approved tool inventory + evaluation criteria
- Incident response playbook for AI failures
Protection & Guardrails
- Prompt injection protection (multi-layer)
- Data leakage prevention rules + PII redaction
- Guardrails plan — approvals, tool boundaries, red flags
- Output validation and confidence scoring
Monitoring & Logging
- Logging/telemetry setup for all AI interactions
- Usage reporting dashboard + trend analytics
- Threshold-based alerts for anomalous usage
- Compliance audit export and reporting views
Testing & Vendor Evaluation
- Red-team findings + remediation plan
- Vendor/model evaluation checklist + recommendation
- Adversarial testing results + hardening report
- Ongoing security review schedule
Architecture
How It All
Fits Together
Five layers — from AI entry points to incident response — with policy enforcement and full logging at every step.
AI Entry Points
All AI touchpoints — chatbots, agents, copilots, internal tools, and API integrations where AI interacts with users or data.
Policy & Guardrails Layer
Usage policies, approved-tool enforcement, input sanitization, PII detection, and prompt injection filtering — applied before any AI request.
Execution & Controls
Human-in-the-loop approvals for high-impact actions, tool access boundaries, output validation, and confidence-based routing.
Monitoring & Logging
Every AI interaction logged — user, input, output, model, timestamp, and outcome. Real-time dashboards and anomaly detection.
Incident Response
Automated alerts for policy violations, anomalous patterns, and security events. Playbooks for investigation and remediation.
Timeline
Governance in
2-4 Weeks
From discovery to production-ready governance — policies, protection, logging, and red-team testing deployed in a single sprint cycle.
Discovery & Assessment
Inventory all AI tools and usage patterns, assess current risks, define policy requirements, and map the threat landscape.
Policies & Protection
Draft AI usage policies, implement prompt injection protection, configure data leakage prevention, and set up guardrails.
Logging & Testing
Deploy logging and telemetry, run red-team exercises, evaluate vendor security postures, and stress-test guardrails.
Launch & Handoff
Finalize policies, deploy monitoring dashboards, team training, and establish ongoing review and audit cadence.
Security & Privacy
Governance Tools,
Fully Controlled
All governance tooling runs within your infrastructure. Logs, policies, and monitoring data never leave your environment.
Data Handling Boundaries
All AI governance tools run within your infrastructure. Logs, policies, and monitoring data never leave your environment.
Retention & Logging Policy
Configurable log retention periods. You control what's logged, how long it's kept, and who can access audit trails.
Access Controls for Governance Tools
Admin, auditor, and viewer roles for governance dashboards and policies. Least-privilege access to all security tooling.
Encryption & Compliance
All logs and governance data encrypted at rest and in transit. Designed to support SOC 2, GDPR, and HIPAA compliance requirements.
How TechVault Secured AI Adoption Across 200+ Employees
TechVault's teams were adopting AI tools rapidly — ChatGPT, Copilot, and internal agents — with no policies, no logging, and no visibility into what data was being shared.
Deployed comprehensive AI governance framework: usage policies, prompt injection protection, DLP rules, full logging/telemetry, and red-team tested guardrails across all AI touchpoints.
100% AI usage visibility, zero data leakage incidents post-deployment, and teams adopted AI 40% faster with clear policies and approved tools.
“We went from 'ban AI' to 'embrace AI safely' in 4 weeks. The governance framework gave leadership confidence to accelerate adoption instead of blocking it.”
Michael Torres
CISO, TechVault
Questions
AI Security FAQ
Common questions about AI governance, prompt injection, logging, and vendor evaluation.
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