ConfidenceAI

ConfidenceAI is an enterprise-grade, regulator-ready LLM runtime-security platform. It sits between your app and the model to inspect prompts and responses in real time, apply policy decisions, and log everything—whether you deploy on-prem, in a private cloud, or fully air-gapped.

Rating:

Visit Website

ConfidenceAILLM security platformPrompt injection protectionEnterprise AI governanceAir-gapped AI securityPrivate LLM deploymentLLM audit logsAI policy enforcement

Features of ConfidenceAI

Inline inspection and policy enforcement between app and model

Rule-based and semantic risk analysis on both prompts and responses

Three action outcomes: Allow, Block, Flag

Run modes: enforce, shadow, bypass

RBAC plus threshold-based policy management

Single control plane for events, roles, webhooks and audit logs

Deploy on bare-metal, private cloud, Kubernetes, Docker

SIEM/SOC ready with standard log formats

Use Cases of ConfidenceAI

Keep LLM traffic inside a local network for government or finance workloads

Observe risk events in shadow mode before launching an AI assistant

Block prompt-injection attempts or policy-violating outputs in production

Apply tiered security policies by team, model or endpoint

Stream audit logs to your SIEM for centralized alerting and forensics

Reuse one policy set across multiple models to avoid config sprawl

Run an AI security gateway in air-gapped or restricted networks

FAQ about ConfidenceAI

QWhat is ConfidenceAI?

ConfidenceAI is an enterprise runtime-security layer that sits between your application and any LLM, detecting risks and enforcing policies on every interaction.

QWhat risks does ConfidenceAI address?

It focuses on prompt injection, data leakage (including PII), policy violations, and anomalous behavior.

QHow does ConfidenceAI process a single LLM request?

Each request goes through rule/pattern matching, semantic analysis, risk scoring, and a final decision—Allow, Block, or Flag.

QWhere can ConfidenceAI be deployed?

You can deploy it on-prem, in a private VPC, or as Kubernetes sidecars/DaemonSets and Docker containers.

QCan ConfidenceAI monitor without blocking?

Yes—use shadow mode for observation only, or enforce mode to actively block requests.

QDoes it integrate with existing SOC workflows?

Yes, it exports standardized logs and events that feed directly into SIEM/SOC tools.

QAre performance benchmarks published?

Marketing materials mention low latency and high single-CPU throughput, but you should validate against your own workload and the latest official docs.

QWhere can I find pricing or edition details?

No public pricing is listed; contact the ConfidenceAI sales team or check the website for up-to-date plans and quotes.

Similar Tools

Confident AI

Confident AI is a platform focused on evaluating and observability for large language models, helping engineers and product teams systematically test, monitor, and optimize the performance and reliability of their AI applications.

ControlisAI

ControlisAI gives enterprises pre-call governance, risk blocking and audit-grade visibility for AI/LLM inference, so teams can run and scale AI workloads across dev, staging and production with full control.

RAXEAI

RAXEAI is a runtime security platform for LLMs and AI agents, delivering multi-layer detection and policy enforcement to give teams full visibility and governance over AI call risks.

PolicyAI

PolicyAI is an OpenAI-compatible AI policy governance gateway. Apply policy-as-code rules, audit trails and canary releases to any LLM workflow—no code changes required.

CakeAI

CakeAI is an enterprise-grade AI platform for regulated industries, delivering built-in governance, security, observability and cost control so teams can deploy and operate AI/ML workloads in their own environments—fast and compliant.

GuardAI

GuardAI delivers enterprise-grade AI governance and guardrails—centralized model access, data-flow control, and full auditability to cut risk and boost observability.

DoopalAI

DoopalAI is a zero-trust AI gateway for enterprise LLM access. It sits between your apps and models to block sensitive data leaks, enforce policy-as-code governance, and track usage costs—so teams can run AI safely and efficiently.

TuringTrustAI

TuringTrustAI is the enterprise-grade AI governance platform that unifies LLM call governance across vendors—enforcing policies, PII redaction, content safety, model benchmarking, and real-time cost/compliance monitoring to cut risk and boost ops efficiency.

ModuAI

ModuAI is a security control plane built for AI-native development. Sitting in the request path, it enforces policies, audits activity, and routes traffic—so teams stay in control of risk and cost when coding agents go to work.

GovernsAI

GovernsAI is an enterprise-grade AI governance control plane that unifies policy enforcement, risk approval, cost management and audit trails—so teams can run AI safely across multiple models and tools.