AI offensive security and penetration testing services.

A strong web application pentest should explain what can actually go wrong, who can abuse it, how far an attacker can go, and exactly how engineering should fix it. We test authentication, authorization, session handling, business logic, input handling, file upload flows, payment flows, administrative functions, and data exposure paths. Every confirmed finding includes practical evidence and remediation guidance.

• ▸OWASP Top 10 and business logic testing
• ▸Authentication, SSO, MFA, password reset, and session review
• ▸Role-based access control and tenant isolation testing
• ▸Injection, XSS, SSRF, file upload, and request smuggling checks

API risk is often about authorization and abuse rather than obvious injection. We look for broken object-level authorization, excessive data exposure, weak JWT validation, OAuth implementation mistakes, endpoint discovery gaps, mass assignment, business workflow abuse, rate-limit bypasses, and GraphQL resolver issues. Reports include exact requests, expected behavior, observed behavior, and remediation guidance engineers can act on quickly.

• ▸OWASP API Top 10 coverage
• ▸Broken object-level and function-level authorization
• ▸JWT, OAuth, API key, and session token review
• ▸GraphQL introspection, batching, resolver, and query abuse testing

Cloud security problems are usually chained: an exposed service, an over-permissive role, weak segmentation, public storage, missing logs, and secrets in the wrong place. Our assessment maps those chains and prioritizes the fixes that reduce real risk. We focus on IAM privilege escalation, public exposure, container risk, Kubernetes control planes, workload identity, secrets, cloud storage, and monitoring gaps.

• ▸IAM privilege escalation and least privilege review
• ▸Public storage and sensitive data exposure
• ▸Kubernetes, container, and workload identity review
• ▸Cloud network segmentation and exposed services

Mobile applications often fail because the backend trusts the client too much. We review local storage, traffic, jailbreak/root assumptions, certificate pinning, deep links, secrets, reverse engineering resistance, API authorization, and mobile-specific workflows. Findings connect mobile evidence to backend impact so engineering can fix the right layer.

• ▸Static and dynamic iOS and Android analysis
• ▸Sensitive local storage and secrets review
• ▸TLS, certificate pinning, and traffic interception checks
• ▸Jailbreak/root detection and bypass analysis

Network testing should show how exposed infrastructure can become business impact. We validate internet-facing attack surface, internal service exposure, credential risk, lateral movement paths, segmentation assumptions, patch gaps, and identity weaknesses. The report gives teams a prioritized plan to reduce attack paths, not just a list of open ports.

• ▸External attack surface enumeration
• ▸Internal network exploitation paths
• ▸Active Directory and identity attack paths
• ▸Segmentation and firewall validation

A red team engagement tests prevention, detection, response, identity controls, segmentation, and operational readiness. We design goal-based scenarios around your environment and business risk, then document the attack path, control failures, detections, missed signals, and remediation priorities. The result is useful for security leadership and engineering teams.

• ▸Goal-based adversary simulation
• ▸Initial access and social engineering where scoped
• ▸Identity abuse and privilege escalation
• ▸Lateral movement and segmentation testing

Modern production compromise often starts before production. CI/CD systems hold secrets, signing permissions, cloud access, deployment authority, and source code. We test whether those systems can be abused through over-permissive tokens, pull request workflows, third-party actions, dependency confusion, container weaknesses, artifact tampering, and cloud role assumptions.

• ▸Source control and branch protection review
• ▸CI/CD token and secrets exposure
• ▸Pipeline permission and workflow abuse
• ▸Container image and registry security

AI risk is rarely only about the model. It usually lives in the surrounding application: prompts, retrieval sources, tool permissions, plugins, APIs, user roles, logs, data boundaries, and automated actions. We validate prompt injection, indirect prompt injection, sensitive data exposure, authorization bypass, tool abuse, unsafe agent behavior, RAG poisoning, jailbreak resistance, and monitoring gaps with practical evidence and remediation guidance.

• ▸Prompt injection and indirect prompt injection testing
• ▸RAG, vector database, and sensitive retrieval exposure
• ▸Agent tool abuse, plugin permissions, and unsafe actions
• ▸Authorization, tenant isolation, and data boundary testing

IoT and OT testing requires care because reliability and safety matter. We plan controlled tests around device interfaces, firmware, protocols, update mechanisms, cloud connectivity, mobile companion apps, identity, network segmentation, and operational boundaries. Findings explain both technical exploitability and operational risk.

• ▸Device attack surface mapping
• ▸Firmware extraction and review where scoped
• ▸Protocol and network service testing
• ▸Cloud and mobile companion app integration review