Finding Vulnerabilities
Is Not the Same as Validating Exposure.
Redbot’s senior offensive security experts manually validate what attackers can actually reach, manipulate, and extract across your complete AI-enabled attack surface. Exposure is real. We prove it.
Validate Beyond the Model. Attack the Stack™.
Real Attack Paths. Senior-Led Testing.
Redbot Security performs manual penetration testing designed to identify exploitable attack paths affecting applications, APIs, cloud infrastructure, AI systems, internal networks, identity environments, wireless systems, and connected business operations before attackers create operational compromise.
Redbot performs offensive security testing, adversary simulation, cloud security validation, application security testing, wireless testing, social engineering assessments, and operational attack-path analysis designed to expose meaningful real-world exposure.
Redbot works directly with organizations to validate security assumptions, identify meaningful exposure, strengthen defensive posture, and support long-term operational resilience through realistic offensive security testing without automated fluff or checklist-driven assessments.
Attack Path Validation Across Applications, Infrastructure, APIs & AI Platforms.
AI Security Testing
LLM security, prompt injection, model abuse, and AI exposure testing.
External Network Penetration Testing
Internet-facing infrastructure and perimeter attack surface testing.
Internal Network Penetration Testing
Internal segmentation, lateral movement, and privilege escalation testing.
Wireless Network Penetration Testing
Wireless infrastructure, rogue device, and encryption validation testing.
Web Application Penetration Testing
Authentication, session handling, logic flaw, and application testing.
Mobile Application Penetration Testing
iOS, Android, insecure storage, and mobile API security testing.
API Penetration Testing
Authentication, authorization, object access, and API abuse testing.
Cloud Security Assessments
AWS, Azure, GCP, IAM, and cloud exposure validation testing.
Physical & Electronic Social Engineering
Phishing operations, trust exploitation, and physical access testing.
AI Is the Target. Not the Tester.
Redbot’s senior offensive security experts manually attack-test the AI systems your business deploys. We test models, agents, applications, RAG pipelines, data flows, APIs, connected tools, identities, cloud environments, and infrastructure to uncover the attack paths that could expose sensitive data or enable unauthorized actions. Our testing is informed by Redbot Labs research into real-world AI attacks, not automated prompts, scanners, or AI-generated testing.
Redbot operators actively pursue modern offensive security training focused on AI systems, LLM exploitation, adversarial testing methodologies, cloud attack surfaces, and evolving offensive tradecraft.
No Noise. On-Time Deliverables. Actionable Remediation Advice.
Redbot Security delivers proof-of-concept reporting designed to clearly communicate exploitable weaknesses, operational impact, and practical remediation guidance without unnecessary assessment noise or automated scanner output.
Real exploitation evidence with attack path verification and operational impact clarity.
Clear remediation recommendations designed to help teams reduce meaningful exposure quickly.
Reporting structured for leadership visibility and technical remediation teams.
“I would like to express my sincere appreciation for the partnership and support you have provided over the past year or so. Working with Redbot Security has been a valuable and rewarding experience. Your professionalism, technical expertise, and commitment to delivering high-quality assessments have greatly contributed to strengthening our security posture.”
Validating Exposure Others Never See.
Across applications, networks, cloud, AI systems, APIs, wireless, and operational technology, Redbot’s senior experts manually follow real attack paths to validate what attackers can actually reach, manipulate, or extract.