Shadow AI refers to any AI model, agent, pipeline, or tool operating in your environment without the knowledge, approval, or oversight of your security team. It is the AI equivalent of shadow IT but faster moving, harder to detect, and significantly more dangerous. Unlike a rogue SaaS tool, a shadow AI agent can actively query databases, call external APIs, access sensitive data, and take actions across your systems the moment it starts running.

Why do traditional tools miss Shadow AI?

Guardrails and gateways only monitor traffic that passes through them - a shadow AI agent that bypasses your approved gateway is completely invisible. Asset scanners and CSPM only find what is registered - an unauthorized agent running inside an approved container looks like normal activity. Log review finds shadow AI after the fact, if someone is looking for it. By the time a log review surfaces an unauthorized agent, it may have been running and accessing data for weeks. Runtime is the only approach that catches Shadow AI the moment it starts executing.

Allure Security

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AI-Native Protection Needs AI-Native Security

Allure Security is an AI-native brand-protection company whose custom vision and NLP models and autonomous agents scan more than 1.5 billion URLs a day to detect brand impersonation, phishing, and deepfake fraud for over 300 enterprise customers, most of them banks and credit unions. When your product is AI, the AI itself has to be beyond reproach, and traditional security tooling was never built to see or defend AI workloads.

40%

Faster detection

Financial-services vendor security reviews cleared

Minutes

to detect and contain AI specific threats, not days

100%

of AI assets (models, agents, tools) inventoried
and monitored

1.5B+/day

URLs of AI pipeline activity under continuous visibility

Runtime is where the truth about AI lives. Seeing exactly what our models and agents do the moment they execute, instead of inferring it from logs after the fact, is what lets us tell more than 300 financial-services customers, with evidence, that the AI defending them is itself secure. RoonCyber.AI gave us that ground truth without slowing us down

JOSH SHAUL 
CHIEF EXECUTIVE OFFICER,
ALLURE SECURITY

THE CHALLENGE

A live map of everything running in your cloud.

Allure's entire value proposition rests on AI. As the platform scaled, its AI footprint of models, agents, tools, and the sensitive data flowing through them grew faster than it could be tracked or secured by hand. Three pressures converged:

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Adversaries target the AI directly

Data poisoning, model evasion, prompt injection, and agent hijacking are aimed at the very AI that protects customers.

Customers demand demonstrable governance.

Financial-services buyers run deep vendor due
diligence and expect provable AI governance before signing.

A security vendor's own AI must be exemplary.

For an AI-native security company, credibility
depends on securing its own AI to the same standard it promises customers.

WHY ROONCYBER.AI

See the Threat. Act at Runtime.

Allure needed security purpose-built for AI, not retrofitted from endpoint or network tools, and it needed more than another stream of alerts. Because RoonCyber.AI operates at runtime, the same execution visibility that surfaces a threat also gives the team the power to act on it.

RoonCyber.AI discovers every AI component, maps how data and attacks move through the pipeline, and detects AI-specific threats in real time. When a workload crosses the line, it does more than raise an alert: it blocks the offending process, contains the workload to limit the blast radius, and remediates the access that enabled it — all from one platform, without adding operational drag to a focused team.

The Engagement

AI discovery and inventory

RoonCyber.AI automatically inventoried every model, agent, tool, and LLM across the platform, replacing
fragmented, tribal knowledge with a single live map of the AI estate.

AI workload attack-path visibility

It visualized how customer brand data, decoy credentials, and threat intelligence move through the
model pipeline, surfacing exactly where an adversary could poison data or manipulate an agent.

AI detection and response

It monitored models and agents for poisoning, evasion, prompt injection, and anomalous behavior at runtime, and automated remediation so threats are contained in minutes.

Runtime-backed compliance evidence

As a complement, the same runtime record produced audit-ready evidence for SOC 2 and customer security reviews, with no separate documentation effort.

The Results

Complete, continuous visibility into an AI pipeline processing 1.5B+ URLs a day across 300+ customer brands.

AI-specific threats contained in minutes, not days, with automated remediation closing the loop from detection to defense

Audit-ready evidence on demand, cutting manual preparation for SOC 2 and customer audits.

Faster financial-services deals, with vendor security assessments completed roughly 40% faster on the strength of provable runtime security.

A sharper competitive story: an AI-native security vendor that secures its own AI with RoonCyber.AI.

ABOUT

RoonCyber.AI is a Runtime AI Workload Security platform that reveals what AI is actually doing in production. As AI agents interact with APIs, applications, data, and cloud services, traditional security tools often lose visibility beyond the prompt. RoonCyber.AI provides real-time visibility into AI workload execution, enabling security teams to identify shadow AI, uncover AI-driven attack paths, validate threats, and assess business impact. Built on advanced runtime technology, RoonCyber.AI helps organizations reduce risk, improve security operations, streamline compliance, and confidently adopt AI by exposing what AI is accessing, executing, and impacting across the enterprise.

Allure Security clears financial - services security reviews 40% faster with complete AI runtime security