While the potential of GenAI and large-scale AI agents is revolutionary, one critical reality grows pressing by the day: What happens when these systems are attacked after deployment? Today, we’re excited to launch ARGUS — the always-on, context-aware runtime security layer that protects your AI systems in production. Built in collaboration with security experts, AI engineers, and enterprise leaders, ARGUS is designed to tackle a crucial and growing gap in AI security: defending and monitoring AI agents in real-world operations.

The Hidden Risk in AI Systems

AI systems are no longer confined to research or one-off applications. They’re increasingly embedded in high-stakes business processes: handling customer service, analyzing sensitive documents, interacting with sensitive consumer data, and even generating financial forecasts.

But this operational power comes at a cost: every deployed AI agent becomes a new attack surface.

Unlike traditional applications, AI systems are dynamic, multimodal, and context-sensitive making them both incredibly useful and uniquely vulnerable.

Traditional security tools weren’t built for this. They lack visibility into prompt injections, multi-turn conversations, AI-specific behaviors, and evolving business context. And even the most robust pre-deployment testing can’t defend against live, targeted exploitation.

This eventually leads to data leakage, compliance violations and reputation-damaging breaches.

ARGUS is a runtime-security solution built to protect AI systems in real-time. It acts as a security layer between your AI systems and the outside world, monitoring every interaction, catching threats as they happen, and enforcing tailored guardrails based on your business needs. 

Think of it as your AI’s bodyguard — alert, adaptive, and always watching.

This is what makes ARGUS unique:

🔍 Real-Time AI Activity Monitoring

ARGUS captures every request, response, and anomaly in real-time across all your AI systems and interfaces enabling continuous risk awareness.

🔴Red-Teaming Powered Guardrails

Our guardrails are continuously enriched by our in-house red-teaming research with real-world attack patterns, evolving threat models, and contextual insights feeding directly into your runtime protections. 

🛡 Business Context-Aware Defense systems

Define policies that reflect your business, compliance, and ethical standards and enforce them at runtime.

🌐 Multi-Modal, Multi-Lingual Coverage

Built to secure AI interactions across text, vision, and voice. With support for over 100 languages, your applications stay protected regardless of modality or user language.

🔄 Policy-as-Code Integration

Customise and update your guardrails easily as your applications evolve. No more manual reviews.

📈 Unified Visibility & Reporting

Track all AI agent activity and security events across your organization in one place from engineering to security to compliance.

⚠️ Instant Alerts on Unsafe Behavior

Whether it’s prompt leakage, sensitive data exposure, or anomalous queries, ARGUS spots it and notifies you before it becomes a breach.

TLDR:

Simple Integration. Immediate Impact.

ARGUS works wherever your AI runs — APIs, SaaS agents, internal assistants, or multi-modal copilots.

In three simple steps:

1. Plug in your AI agents – Connect through secure APIs.

2. Set business-aware policies – Define compliance, safety, and behavioral rules in your context

3. Monitor & respond in real time – Get alerts, reports, and clear remediation workflows instantly

ARGUS helps you proactively secure AI systems against misuse, prompt injection, and emerging threats so you can accelerate safe AI adoption while ensuring compliance and stakeholder trust.

Ready to Protect your AI systems?

ARGUS brings always-on, intelligent protection to your AI stack, eliminating guesswork and shielding your systems from runtime threats before they turn into headlines.

To see ARGUS in action and explore how it can integrate into your AI infrastructure,

Get a demo now ->

Reach out to our team at contact@repello.ai — we’re here to help you secure your AI systems.