Trust your AI.
And prove it.
EthosGuard does not just detect AI risk. It generates the safer answer. It reads every output from your AI systems against a rigorous ethical framework, flags what crosses the line, drafts a safer, source-grounded alternative for review, and keeps a structured record of every decision.
Built for the era of the EU AI Act, NIST AI RMF, and ISO/IEC 42001.
Aligned to the frameworks your auditors and regulators expect
AI is shipping faster than anyone can govern it
Models go to production in days. Oversight takes months. The gap between what your AI does and what you can prove it does is where the real risk lives.
No visibility into outputs
Your AI generates thousands of decisions a day. Almost none of them are reviewed against any ethical standard before they reach a customer.
Compliance by spreadsheet
Governance teams stitch together policies, screenshots, and good intentions, with nothing auditable to show a regulator when it counts.
Rising regulatory exposure
The EU AI Act and emerging US frameworks demand demonstrable ethical oversight. "We tried our best" is no longer a defensible position.
Auditable AI ethics in three steps
EthosGuard sits as a layer on top of your existing AI systems. No rebuild, no rip-and-replace.
Connect
Route your AI system outputs to EthosGuard through a single API. Model-agnostic by design: your LLMs, agents, and vendor systems.
Evaluate
Our evaluation engine scores every output against a structured ethical framework: fairness, transparency, harm avoidance, and accountability.
Act
Your dashboard shows compliance at a glance, flags issues in real time, and delivers recommended corrections and a structured, reviewable record.
Everything your governance team needs in one layer
Continuous, contextual, and built for the people who answer for your AI.
In-workflow evaluation
Designed to evaluate outputs inside your AI workflow, not sampled weeks later. Oversight keeps pace with deployment.
Structured ethical framework
A rigorous, consistent standard applied to every decision, so "ethical" stops being a matter of opinion.
Risk flagging and routing
High-risk outputs are flagged with severity and context and routed for human review before they become incidents.
Structured governance evidence
Timestamped, explainable documentation that supports governance and audit preparation.
Recommended corrections
Do not just flag the problem. EthosGuard suggests the fix, so teams can act instead of investigate.
API-first integration
Designed for focused pilots. EthosGuard wraps your stack without touching how your models are built.
Built for the teams accountable for AI: B2B and B2C
EthosGuard governs the AI that regulated businesses run behind the scenes, and the consumer-facing models that speak directly to your customers.
Prove oversight, on demand
Replace fragile manual processes with continuous, documented evidence that your AI operates within policy and law.
Ship AI with confidence
Give your teams a guardrail that catches ethical risk early, without slowing the pace of deployment.
Meet the standard you are held to
For finance, insurance, healthcare, and the public sector, where auditable AI ethics is not optional, it is required.
Built for decisions that affect people
AI risk changes by industry. A misleading banking response, an unexplained insurance decision, and an unsafe wellness answer need different evidence, thresholds, and escalation paths. EthosGuard evaluates each output in the context of its purpose, audience, and potential consequence.
Protect customers when accuracy and restraint matter most
Customer-service responses, fraud and scam guidance, and explanations of fees, eligibility, and decisions, evaluated before they cause customer harm or regulatory exposure.
Example: a banking assistant answers a customer describing a gift-card scam. EthosGuard checks that the answer is accurate, appropriately cautious, and escalates to fraud support.
Make AI explanations clear, balanced, and reviewable
Policy and coverage explanations, claims communications, and customer-service assistants, checked for accuracy, transparency, unsupported conclusions, and a fair path forward.
Example: an assistant explains why a claim may not be covered. EthosGuard checks the explanation for accuracy, tone, unsupported assumptions, and appropriate next steps.
Prevent polished answers from becoming harmful answers
Customer-facing chatbots, agent-assist tools, and complaint handling, checked for inaccurate promises, manipulative language, policy conflicts, and missing escalation.
Example: an assistant replies to an upset customer. EthosGuard checks that the answer is accurate, respectful, within policy, and appropriately escalated.
Additional applications under development: healthcare and wellness communications, legal and professional services, government and public services.
EthosGuard helps organizations evaluate AI outputs, document judgment, and generate evidence relevant to their governance and compliance processes. It does not provide medical, legal, or financial advice, does not replace qualified professional review, and does not itself establish legal or regulatory compliance.
It does not just flag the risk. It writes the safer answer.
Real screens from the live platform. Every answer is scored across ten ethical dimensions, flagged where it crosses the line, corrected, and recorded for audit.
Score a real AI answer in the live evaluator, no signup needed, or see it run against your own outputs in a 30-minute walkthrough.
The window to get this right is now
Regulation is arriving, enforcement is beginning, and customers are asking harder questions. The companies that can demonstrate ethical AI will earn the trust and the contracts that the rest cannot.
- โThe EU AI Act is in force, with high-risk obligations phasing in through 2027 and 2028.
- โVoluntary frameworks like NIST AI RMF and ISO/IEC 42001 are appearing in procurement requirements.
- โBuyers are beginning to ask for output-level evidence, not just policy documents.
Bring defensible ethics to your AI
Book a 30-minute demo and see how EthosGuard audits your AI systems, and gives you the record to prove it.
