Enterprise GRC Platform
Tyndora AI-Powered Insights
AI should amplify human judgment, not replace it. Tyndora's AI is grounded in your evidence and honest about what it doesn't know.
What AI Means in Tyndora
AI that explains itself, cites sources, and knows when to abstain.
Core AI Capabilities
- Compliance Q&A — Answer policy and requirement questions
- Gap Analysis — Find unmet compliance obligations
- Evidence Recommendations — Suggest evidence for controls
- Regulatory Mapping — Map requirements to controls
The Problem with Generic AI
Generic AI tools hallucinate compliance claims. They sound confident but cite nothing. Tyndora AI only speaks from your evidence.
It says "I don't know" when evidence is missing. That's honest and useful.
AI-Powered Insights in Action
How Tyndora AI amplifies your compliance team.
Compliance Q&A with Sourcing
Ask Tyndora questions about your compliance program. "Do we meet GDPR Article 32?" AI answers and cites the specific controls and evidence.
- Natural language compliance questions
- Evidence-based answers (cites controls and evidence)
- Confidence scoring (is the AI confident or uncertain?)
- Abstention when evidence is missing
AI QUERY VOLUME
Queries This Month
287
High Confidence Answers
✓ 231 (80%)
AI Abstentions
56 (evidence missing, honest about it)
GAP ANALYSIS RESULTS
Gaps Identified (Last Run)
18
Critical Gaps
2
AI Accuracy (Human Verified)
✓ 94%
Automated Gap Analysis
AI scans your control library and evidence against your framework obligations. It finds gaps and explains why they're gaps.
- Gap identification (unmet requirements)
- Gap root cause analysis (why is this unmet?)
- Gap prioritization (critical vs. low-priority)
- AI accuracy scoring (human verification of findings)
Evidence Recommendations & Control Strengthening
AI reviews your control design and suggests evidence. "This control should document X. Consider adding Y to evidence collection."
Evidence Gap Detection
- ✓ Identify missing evidence for controls
- ✓ Suggest evidence types to collect
- ✓ Recommend integration points (where to pull evidence)
- ✓ Prioritize high-impact evidence collection
Control Design Optimization
- ✓ Compare your control design to best practices
- ✓ Suggest control improvements
- ✓ Flag controls that are too complex/redundant
- ✓ Recommend control consolidation opportunities
Three Laws of Tyndora AI
AI in compliance is risky if it's not constrained. Tyndora AI follows three laws to ensure it amplifies humans, not replaces them.
Law 1: Evidence First
AI only answers from your evidence, never from hallucinations
Law 2: Human Authority
Humans make compliance decisions; AI recommends and explains
Law 3: Explainability
Every answer cites sources; AI says "I don't know" when it should
See Tyndora AI in Action
Book a discovery and we'll show you evidence-grounded AI that explains itself and knows when to abstain.
Book a discovery