A sequence of weaknesses an attacker can chain together to gain access, escalate privileges, move laterally, expose data, or impact business operations.
Get clear answers to common questions about penetration testing, red teaming, cloud security, AI security, network testing, pricing, timelines, reporting, compliance support, and how Redbot validates real-world attack paths.
This FAQ is organized around the areas buyers, technical teams, and leadership stakeholders ask about most often: penetration testing, red teaming, cloud security, AI security, network testing, pricing, deliverables, compliance support, and security terminology.
Answers about penetration testing services, manual validation, proof-of-concept findings, remediation guidance, timelines, and what to expect during an engagement.
View questions RED TEAMINGLearn how red team testing validates detection visibility, identity exposure, social engineering risk, physical security, and response readiness.
View questions CLOUD AND AI SECURITYAnswers about cloud security assessments, AI and LLM security testing, API exposure, identity paths, storage risk, and connected enterprise workflows.
View questions NETWORK TESTINGUnderstand how Redbot validates internet-facing exposure, internal attack paths, lateral movement, segmentation, Active Directory risk, and wireless security.
View questions PRICING AND TIMELINESGuidance on what affects pricing, how long assessments take, what information helps scope the work, and how to prepare for testing.
View questions REPORTING AND COMPLIANCEAnswers about report contents, proof-of-concept evidence, remediation support, retesting, SOC 2, ISO 27001, HIPAA, GDPR, and audit readiness.
View questionsLooking for service-specific guidance? Start with the Redbot service pages most often connected to FAQ questions.
Use this FAQ to understand how Redbot scopes engagements, validates real attack paths, reports findings, supports remediation, and helps organizations reduce meaningful security risk.
A practical glossary of common offensive security, penetration testing, cloud security, AI security, and compliance terms used throughout Redbot assessments and reports.
A sequence of weaknesses an attacker can chain together to gain access, escalate privileges, move laterally, expose data, or impact business operations.
A controlled security assessment that manually validates exploitable weaknesses across applications, APIs, networks, cloud environments, identity systems, and connected workflows.
An adversarial security exercise that simulates realistic attacker behavior to evaluate detection visibility, response readiness, identity exposure, and business-impacting attack paths.
Evidence that demonstrates a weakness can be exploited in a controlled way, helping teams understand real-world risk and remediation priority.
The process of moving from one system to another inside an environment after initial access, often through credentials, trust paths, shares, services, or identity weaknesses.
The act of gaining higher levels of access through misconfigurations, credential exposure, excessive permissions, service account abuse, or vulnerable systems.
Weaknesses in Active Directory permissions, delegation, authentication, trust relationships, group policies, or identity controls that may enable domain compromise.
Internet-facing systems, services, applications, APIs, remote access paths, cloud assets, and infrastructure that attackers can reach from outside the organization.
Internal systems, users, services, identity paths, credentials, file shares, applications, and trust relationships reachable after access is gained inside an environment.
A security assessment that validates cloud exposure across IAM, storage, workloads, APIs, secrets, public services, network paths, and hybrid trust relationships.
Identity and access management controls that govern users, roles, permissions, service accounts, policies, authentication, and authorization across cloud and enterprise systems.
Testing that validates authentication, authorization, object-level access control, token handling, business logic, data exposure, and backend trust in APIs.
Testing focused on AI applications, LLM integrations, agents, prompt injection, unsafe tool use, data exposure, retrieval systems, APIs, and connected enterprise workflows.
An attack technique where crafted input attempts to manipulate an AI or LLM system into ignoring instructions, exposing data, misusing tools, or performing unintended actions.
Practical recommendations that help teams fix validated weaknesses, reduce attack-path risk, improve controls, and prioritize security work based on real impact.
Follow-up validation performed after remediation to confirm whether previously reported findings have been fixed and no longer present the same risk.
Redbot uses plain-language reporting wherever possible so technical findings, attack paths, business impact, and remediation priorities are clear to both engineering teams and leadership.
Redbot Security can help you scope the right engagement, understand testing options, validate attack paths, and determine which assessment best matches your environment, risk, compliance needs, and business goals.
