Services & Methodology

Methodology & Intelligence Operations

RavenTrak deploys elite cyber threat intelligence and adversarial red-teaming to uncover vulnerabilities in your digital ecosystem. Discover how our ServalGuard™ framework stress-tests your platforms before malicious networks do.

Service 01

Adversarial AI Stress-Testing

Human-centered red-teaming utilizing our ServalGuard™ methodology. We evaluate how your system behaves under sustained attack—exposing how threat actors bypass LLM guardrails to target fragile users.

Deployment of threat actor personas: from automated bots to sophisticated grooming profiles

Multi-turn jailbreak and coercion testing designed to expose psychological vulnerabilities in your models

Forensic analysis of failure modes, with severity and exploitation risk assessment

Service 02

Platform Threat Intelligence

We map your platform against the live playbooks of digital-native predators. We audit your safety pipelines to detect evolving evasion tactics, automated grooming vectors, and escalation gaps.

Intelligence assessment against active dark web and encrypted network tradecraft

Evasion detection: coded slang, obfuscation, and off-platform routing vectors

Threat actor TTP mapping with engineering and policy remediation roadmaps

Service 03

Safety Infrastructure & Compliance

We bridge the gap between cyber threat intelligence and legal requirements, ensuring your engineering documentation and safety workflows align with global child protection standards and AI regulations.

Gap analysis against child protection frameworks and AI regulatory mandates

Engineering documentation support for regulatory and audit readiness

Integration of threat intelligence findings into compliance narratives

The Framework

The ServalGuard™ Framework

Traditional Trust & Safety teams look backward, moderating policy violations after harm occurs. RavenTrak looks forward. ServalGuard™ is our proprietary adversarial testing framework designed to simulate the exact tradecraft, evasion tactics, and automated grooming vectors used by decentralized threat networks. We break your system in a sandbox so adversaries can't break it in the wild.

PBAT

Persona-Based Adversarial Testing

We deploy synthetic personas mirroring real-world threat actors—from automated extortion bots to sophisticated grooming profiles. We relentlessly attack your generative models to ensure they cannot be coaxed into generating harmful assets or facilitating exploitation.

EAA

Evasive Action Assessment

Adversaries don't use standard language; they use coded slang, encrypted emojis, and off-platform routing. We stress-test your automated classification filters and text moderation pipelines against the latest linguistic and behavioral evasion tactics actively used in the dark web and secure comms networks.

MRS

Model Resilience Stress-Testing

We push your LLMs and conversational agents to their absolute limits using psychological manipulation and advanced jailbreak prompts. We measure your model's ability to maintain strict behavioral guardrails when subjected to coercive social engineering targeting fragile users.

SRBA

Systemic Risk & Behavioral Analysis

We don't just test text outputs; we audit the entire threat pipeline. We map how your AI models, APIs, and platform architectures interact, identifying systemic vulnerabilities where bad actors could leverage automation to scale coordinated attacks against vulnerable populations.

Get Started

Anticipate the Adversary.

Don't wait for an exploitation incident to expose your system's weaknesses. Deploy ServalGuard™ to stress-test your AI infrastructure today.

Schedule a Vulnerability Assessment