Overview
Red teaming simulates real adversaries across people, process, and technology to
validate your defenses under realistic conditions. Spiral Networks pairs these
exercises with adversarial AI testing to secure modern AI systems against prompt
injection, data leakage, and model abuse. Our engagements are led by seasoned
operators and aligned to your risk tolerance and business objectives.
What We Offer
- Threat Emulation: Use MITRE ATT&CK-based tactics to simulate
phishing, social engineering, and credential abuse.
- Cloud and Identity Testing: Assess privilege escalation paths,
misconfigurations, and identity weaknesses in hybrid environments.
- Physical and On-Site Scenarios: When in scope, evaluate facility
access controls and badge processes to test end-to-end exposure.
- Purple Team Collaboration: Work directly with your defenders to
tune detections and improve response workflows.
- Adversarial AI Testing: Validate LLM and AI system guardrails
against prompt injection, data exfiltration, and model misuse.
- Actionable Reporting: Deliver prioritized findings and a clear
remediation roadmap for leadership and technical teams.
Key Benefits
- Detection Validation: Measure SOC readiness and response speed
under pressure.
- Control Verification: Confirm that security controls perform as
expected in real attack paths.
- AI Safety Assurance: Identify weaknesses before AI systems reach
production or regulated environments.
- Improved Resilience: Strengthen playbooks and decision-making
through realistic exercises.
Relevant Experience
Our offensive security team has supported government agencies, transportation systems,
and regulated enterprises with safe, controlled adversary simulations. We bring the
expertise to test modern AI deployments while keeping business operations stable.
Get Started
Spiral Networks begins with a scoping workshop and rules of engagement to define
objectives, safety controls, and reporting needs. We then execute a tailored
red team engagement with measurable outcomes and follow-on guidance.
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