Industries We Protect
Offensive security coverage tailored for regulated, high-complexity, and AI-native environments.
Finance & Banking
Pentesting for payment flows, identity boundaries, sensitive APIs, and fraud-sensitive financial systems.
Get Assessment →Healthcare
Security testing for patient data platforms, healthcare APIs, medical workflows, and connected applications.
Get Assessment →E-Commerce
Testing for checkout abuse, account takeover, loyalty fraud, and third-party supply chain exposure.
Get Assessment →SaaS & Cloud
Assessment of multi-tenant isolation, SSO, API exposure, and cloud misconfigurations in SaaS products.
Get Assessment →Government & Defense
Security validation for critical services, sensitive applications, and high-trust operational environments.
Get Assessment →AI Companies
LLM red teaming, prompt injection testing, tool abuse analysis, data leakage validation, and agent security reviews.
Get Assessment →Three Capabilities. One Security Workflow.
Eresus Security combines AI security testing, offensive validation, and remediation tracking in one operating model.
AI Security
Assessment of LLM applications, AI agents, retrieval pipelines, and model-connected workflows.
- Prompt injection testing
- Indirect prompt injection
- Tool misuse analysis
- Data leakage validation
- Agentic workflow review
Offensive Security
Manual testing and controlled exploitation across web apps, APIs, identities, and cloud infrastructure.
- Web application pentesting
- API authorization testing
- Red teaming
- Exploit chaining
- Privilege escalation analysis
Enterprise Tools
Reporting and follow-through that help engineering teams move from finding to verified fix.
- Evidence-based reporting
- Finding prioritization
- Retest support
- Remediation tracking
- Security program visibility
Offensive Security Services for Web, API, Mobile, SaaS, Identity, Active Directory, Cloud, Kubernetes, DevSecOps, and AI
Eresus Security provides web and mobile application pentesting, API security testing, SaaS security assessments, identity and Active Directory reviews, backend and microservice security analysis, cloud and Kubernetes assessments, DevSecOps reviews, red teaming, and AI security testing. Each engagement is designed to validate real attack paths, translate technical risk into business impact, and help engineering teams fix the right problems first.
Service Definitions
Web Application Penetration Testing: Validates authentication, authorization, IDOR, SSRF, business logic flaws, file upload flows, and session management weaknesses.
Mobile Application Security: Reviews iOS, Android, and mobile backend flows for client-side risk, token handling, data storage, API usage, and device trust boundaries.
API Security Testing: Reviews REST, GraphQL, webhook, JWT, OAuth 2.0, SAML, and multi-tenant authorization flows through abuse-driven testing.
Identity and Active Directory Security: Assesses SSO, MFA, authorization models, Active Directory, privileged accounts, Kerberos paths, lateral movement, and identity-centered attack chains.
Backend, Microservice, and SaaS Security: Validates backend services, queue-driven workflows, service-to-service trust, multi-tenant SaaS boundaries, and critical business logic flaws.
Cloud Security Review: Assesses AWS, Azure, GCP, IAM roles, secrets handling, Kubernetes, CI/CD, and container exposure as one environment.
DevSecOps and SDLC Review: Reviews CI/CD pipelines, build agents, secret handling, dependency risk, artifact trust, branch protections, and deployment security controls.
Red Team Engagements: Measures people, process, and technology through objective-based exercises that test detection and response under pressure.
AI Security Assessments: Covers prompt injection, indirect prompt injection, tool misuse, RAG leakage, and agent orchestration risk.
How It Works
- Scope definition: Applications, APIs, cloud accounts, identity layers, and AI features are mapped into a realistic engagement boundary.
- Critical path selection: Account takeover, data exposure, tenant breakout, privilege escalation, and AI misuse paths are prioritized first.
- Validation-led testing: Automated signals are combined with manual analysis so only exploitable findings survive into the report.
- Evidence-based reporting: Each finding includes reproduction steps, impact summary, technical context, and remediation direction.
Key Insights
- Good offensive security work reduces uncertainty, it does not just generate tickets.
- API and identity logic issues usually require manual analysis beyond automated scanners.
- Cloud and AI features create cross-layer attack paths that need application and infrastructure review together.
- Retesting and remediation support matter as much as the initial finding count.
Real-World Examples
B2B SaaS platform: SSO, SCIM, admin panels, and multi-tenant boundaries are tested together to find tenant breakout and privilege flaws.
Fintech and payment systems: Payment flows, transaction integrity, API authorization, and fraud-sensitive surfaces are assessed through chained attack logic.
AI assistant or RAG product: Prompt injection, tool calling, plugin access, and sensitive data exposure are validated against realistic user workflows.
Step-by-Step Action Guide
- Choose the highest-value target first: a web app, API, identity layer, cloud account, or AI feature.
- Define the risk that matters most to you: account takeover, data exposure, tenant breakout, privilege escalation, or model misuse.
- Decide whether third-party integrations, staging, or production-like environments need to be included in scope.
- Set clear deliverable expectations: technical report, executive summary, remediation workshop, and retest.
- After the engagement, schedule verification for the highest-risk fixes so remediation is actually closed out.
Frequently Asked Questions
A vulnerability scan generates automated signals. A pentest validates those signals, chains weaknesses together, and translates them into real business risk.
Annual testing is the minimum baseline. Additional testing is recommended after major releases, architectural changes, new APIs, or AI feature launches.
Yes. Prompt injection, tool abuse, data leakage, RAG security, and agent workflows are all within scope.
You receive evidence-backed technical findings, prioritized risk summaries, remediation guidance, and retest support when required.
A clear asset list, a point of contact, a testing window, test accounts if needed, and a short summary of critical business workflows are enough to begin.
Alternative Search Phrases
- Eresus Security penetration testing services
- Eresus AI security assessment
- Eresus red team and API security
How It Works
A structured engagement flow that turns attack surface data into validated findings and remediation priorities.
Scope & Asset Discovery
Identify internet-facing assets, critical workflows, identities, APIs, and AI surfaces.
Threat Modeling
Map the business-critical attack paths most likely to matter for your environment.
Validation Testing
Test web, API, cloud, and AI systems for exploitable weaknesses and security gaps.
Attack Chaining
Chain related issues to confirm business impact, privilege escalation, and realistic attacker paths.
Reporting & Prioritization
Document evidence, severity, affected assets, and the fixes that matter first.
Remediation Support
Work with your team to clarify fixes, compensating controls, and implementation tradeoffs.
Retesting
Verify that high-risk findings are actually resolved after remediation.
Need a clearer view of your real attack paths?
Book a scoping call to see how Eresus Security tests web apps, APIs, cloud environments, and AI systems. We focus on evidence, impact, and remediation priorities.