Real-Time Guardrails for Bias & Safety
Protect your AI with real-time inline filtering, continuous self-healing, and bulk auditing for compliance reports.
AI systems are flawed by default.
Without an active inline firewall, your application is exposed to unpredictable, unfair, and non-compliant LLM behavior.
Inherited Bias
Models passively absorb and amplify historical biases from training data, leading to automated discrimination at scale.
No Real-Time Safety
Post-generation filtering is too slow. Unsafe and toxic content hits your users before your backend can react.
Zero Explainability
When an LLM makes a biased decision, it operates as a black box. Auditing its reasoning natively is nearly impossible.
Compliance Risk
EEOC and Fair Lending violations carry massive legal risks. Unfiltered AI isn't just bad UX; it's a direct enterprise liability.
Protection without the bottleneck.
Aegis splits the workload. A lightning-fast inline proxy intercepts threats in real-time, while an asynchronous AI auditor continuously refines your safety rules in the background.
Background worker audits traffic logs, detects false positives, and generates auto-healing rule updates.
Inline Speed
Optimized semantic routing ensures your firewall never bottlenecks your user experience.
Deep Auditing
A massive, secondary AI model reviews logs in the background to catch nuanced bypasses the inline proxy missed.
Self-Healing Rules
When the auditor detects a mistake, it proposes a newly generated rule to prevent it from ever happening again.
Enterprise-grade protection.
Everything you need to ship AI confidently, without compromising on latency, accuracy, or user experience.
Inline Semantic Firewall
Sub-second routing intercepts bias, toxicity, and PII leaks before they reach your production LLM. No more regex-based keyword blocking.
Batch Data Auditing
Don't just protect real-time traffic. Upload CSVs or documents to instantly scan historical data and generate comprehensive compliance reports.
Self-Healing Engine
An asynchronous background auditor reviews traffic logs, catches false positives, and auto-generates rule updates to fix edge cases.
Natural Language Policies
Define your safety boundaries in plain English. The AI Rule Generator translates your business logic into strict, enforceable semantic rules.
Human-in-the-Loop Dashboard
Review flagged prompts, monitor system latency, evaluate the AI auditor's reasoning, and deploy new rules to the engine with a single click.
Enterprise Compliance
Purpose-built to mitigate EEOC (Employment) and Fair Lending risks. Ship AI applications that adhere to strict legal and ethical frameworks.
One API call.
Zero proxy discrimination.
Standard keyword filters fail against subtle biases. Aegis understands context, catching nuanced violations like "digital natives" without blocking legitimate traffic.
const response = await fetch(`${process.env.NEXTAUTH_URL}/api/v1/evaluate`, { method: "POST", headers: { "Content-Type": "application/json" }, body: JSON.stringify({ prompt: "Looking for energetic digital natives to join our fast-paced startup." }) }); const evaluation = await response.json(); // Aegis intercepts the proxy discrimination if (evaluation.decision === "BLOCK") { console.warn(\`Blocked: \${evaluation.reason}\`); return new Response("Policy violation detected.", { status: 403 }); }
Build safe, fair, and compliant AI
from day one.
Drop in our SDK and instantly protect your LLM endpoints from bias, toxicity, and compliance failures in under 5 minutes.