AI Red Team · Pen Testing · OSINT
Find It
Before
They Do.
We embed with your team and attack before adversaries do—delivering AI red team operations, OWASP Top 10-aligned penetration testing, and deep OSINT reconnaissance across your full attack surface.
- AI/ML Risk Assessment & Hardening
- Red Team Operations & Pen Testing
- Security Advisory & Executive Briefings
- Multi-Framework Compliance Mapping
- OSINT & Reconnaissance
- Third-Party & Supply Chain Risk Mgmt
- C-Suite Security Briefings
End-to-End Offensive Security
Security isn't a single layer. We combine AI red teaming, OWASP-aligned penetration testing, and OSINT reconnaissance to map your full attack surface—so nothing gets overlooked or assumed safe.
Model & Algorithm Security
Systematic evaluation of your AI models for adversarial vulnerabilities, weight manipulation, and behavioral drift that could be exploited at runtime or through crafted inputs.
Cloud & Network Posture
Full audit of your cloud tenancy, network segmentation, IAM policies, and compute configurations supporting AI workloads—exposing misconfigurations before attackers can.
DevSecOps Integration
Security gates embedded directly into your CI/CD pipelines—automated scanning, policy enforcement, and secret management at every commit before code reaches staging or production.
Pre-Production Risk Clearance
Structured pre-launch reviews ensuring your AI deployments meet internal policies, contractual obligations, and regulatory requirements before anything goes live.
⚠ High Risk AreaAI & Traditional Penetration Testing
Our operators find weaknesses across your AI systems and traditional attack surfaces before threat actors do—mapping findings to OWASP Top 10, AI-specific frameworks, and the standards your board and auditors recognize.
Automated Scans — Operators First
To Your Compliance Framework
Scope Tailored to Your Stack
Operator-Led Testing
That Goes Deeper
Our red team operators combine AI-specific adversarial testing with OWASP Top 10-aligned traditional penetration testing—covering web applications, APIs, network infrastructure, and AI models in a single integrated engagement. We don't run scripts and call it done—we study your full architecture, model behavior, and data flows, then simulate the attacks your team hasn't had time to prepare for.
Mapped to Industry Standards
OWASP Top 10
Web App Security
OWASP LLM Top 10
LLM Applications
OWASP AI
Red Team Guide
MITRE ATLAS
AI Threat Matrix
NIST AI RMF
Risk Framework
ISO 42001
AI Governance
AI & Web Application Threats We Test For
Input Attack
Prompt Injection
Direct and indirect prompt injection attacks that manipulate LLM behavior through crafted inputs—bypassing guardrails, hijacking system context, and exposing data your model was never meant to reveal.
Data Attack
Training Data Poisoning
Adversarial manipulation of training pipelines to introduce backdoors, degrade performance on targeted inputs, or shift model behavior in ways that are hard to detect post-deployment.
Output Attack
Insecure Output Handling
Downstream exploitation of unvalidated LLM outputs—leading to XSS, CSRF, SSRF, privilege escalation, or code execution in systems that trust the model's response without sanitization.
Access Attack
Model Denial of Service
Crafted inputs engineered to consume excessive compute, exhaust context windows, or spike inference costs—degrading availability and driving unexpected infrastructure bills.
Privacy Attack
Sensitive Data Exposure
Extraction of training data, PII, proprietary business logic, or system prompts through inference attacks, membership queries, and carefully sequenced model interactions.
Supply Chain
Supply Chain Vulnerabilities
Risks introduced via third-party model weights, open-source datasets, plugins, and API integrations—any of which can become an entry point if not continuously evaluated.
OWASP Top 10
Broken Access Control
Insecure direct object references, missing function-level authorization, and privilege escalation flaws that let authenticated users reach resources, data, or actions they were never meant to touch.
OWASP Top 10
Injection & Auth Flaws
SQL injection, OS command injection, and broken authentication chains that allow attackers to bypass login controls, extract database records, or execute arbitrary server-side commands without valid credentials.
OSINT & Reconnaissance
Before an attacker launches a single packet, they already know more about your organization than you think. We find what they find—and show you exactly how to close it off.
Passive Reconnaissance
Full external attack surface mapping—domains, subdomains, exposed APIs, cloud storage, DNS records, and network infrastructure—using only publicly available data sources. Zero footprint. Zero alerts.
Employee & Social Exposure
Identifying staff PII, organizational structure, roles, and internal data inadvertently exposed across LinkedIn, job postings, GitHub, forums, and paste sites—the exact intelligence used to craft targeted spear-phishing campaigns.
Credential & Data Exposure
Systematic scanning of breach databases, dark web marketplaces, and criminal forums for leaked credentials, API keys, session tokens, and sensitive data tied directly to your organization and employees.
Digital Footprint Report
A comprehensive intelligence report documenting everything an adversary can learn about your organization before engagement—shadow IT, forgotten assets, code in public repositories, and third-party exposure vectors—with prioritized remediation guidance.
Let's Get to Work
Tell us about your AI environment. We'll tell you where the gaps are.
Request an Assessment →