Every technical service below maps directly to its own slug folder under /solutions/[parent-slug]/[service-slug], providing precise deep-dive context, exact problem definitions, and tangible engineering deliverables.
Click any service card to navigate directly to its specific sub-slug repository page for complete architectural deep-dives.
Unknown shadow IT, forgotten exposed subdomains, and unmonitored external assets creating blind spots.
Complete inventory and mapping of all external-facing assets with continuous visibility.
Automated and manual asset enumeration report with risk ratings.
Siloed security findings make it impossible to see how multi-vector compromises occur across networks.
Clear visualization of end-to-end exploit chains bridging identity, cloud, and on-prem assets.
Graph-based attack path blueprint and mitigation priority list.
Over-permissioned service accounts and dormant user credentials leading to lateral movement risks.
Enforced Principle of Least Privilege (PoLP) and hardened IAM permission boundaries.
Detailed role-mining report and over-privileged account inventory.
Teams are overwhelmed by thousands of vulnerability alerts without knowing what actually threatens business operations.
Context-aware risk scoring focused strictly on exploitability and real-world impact.
Customized risk scoring dashboard matrix and remediation runbooks.
Outdated protocols and unpatchable legacy servers acting as permanent footholds for attackers.
Compensating controls and network segmentation strategies to isolate legacy technical debt.
Legacy asset isolation plan and micro-segmentation architecture layout.
Complex modern single-page apps (SPAs) harboring high-severity injection and logic flaws.
Production-grade resilience against OWASP Top 10 and advanced application layer attacks.
Comprehensive vulnerability finding document with POC scripts.
Insecure direct object references (IDOR) and missing function-level access control across REST/GraphQL endpoints.
Robust API authorization frameworks safeguarding sensitive data transactions.
API endpoint test matrix, schema compliance review, and auth logic report.
Attackers manipulating transaction workflows, checkout steps, or coupon loops to commit fraud.
Shielded core application workflows against economic exploitation and logic bypasses.
Workflow abuse vector report and state-machine validation guidelines.
Security design flaws embedded early in the software development lifecycle (SDLC) before code deployment.
Secure-by-design architectural blueprint minimizing downstream remediation costs.
Code review summary, design pattern recommendations, and threat tree mapping.
Exposed API keys, hardcoded secrets, and weak certificate pinning in iOS/Android packages.
Tamper-resistant mobile application code compliant with industry standards.
Binary decompilation audit, local storage inspection, and root/jailbreak detection report.
Misconfigured AWS/Azure/GCP environments leading to public data exposure and storage leaks.
Hardened multi-cloud infrastructure aligned with CIS benchmarks and best practices.
Cloud misconfiguration catalog mapped to AWS/Azure/GCP security benchmarks.
Overly permissive cross-account IAM roles allowing complete tenant takeover.
Tightened access policies and eliminated unintended trust escalation channels.
Trust graph diagram and policy minimization scripts.
Misconfigured container runtimes, insecure pod-to-pod communication, and exposed orchestration APIs.
Secure container clusters with strict runtime isolation and namespace segregation.
K8s security audit report, RBAC review, and pod security standard compliance scorecard.
Unclear visibility into how an internet-facing misconfiguration can cascade into complete database compromise.
Proactive mitigation of cloud lateral movement vectors before active exploitation.
Cloud breach simulation walkthrough and remediation advisory.
Security flaws introduced directly via Terraform or CloudFormation templates prior to deployment.
Automated guardrails and policy-as-code integration inside developer CI/CD pipelines.
Custom OPA/Checkov policy rules and pipeline scanning integration manual.
Unmapped endpoints, exposed model weights, and unstructured data ingestion paths in AI systems.
Comprehensive inventory of all machine learning components and data interchange boundaries.
AI asset inventory and data provenance flowchart.
LLM agents susceptible to malicious system prompt overrides and unauthorized data extraction.
Robust input sanitization and guardrail mechanisms preventing prompt exploitation.
Prompt vulnerability matrix and adversarial test suite results.
AI agents granted excessive permissions to run shell scripts, query databases, or execute external APIs.
Restricted tool execution sandboxes limiting autonomous agent blast radius.
Agent permission boundary audit and execution sandbox configuration guide.
RAG architectures leaking private user data or enterprise records across permission boundaries.
Secured vector databases with granular document-level access validation.
Vector DB privilege audit and data leakage prevention blueprints.
Vulnerabilities allowing bad actors to corrupt training data sets or reconstruct sensitive training inputs.
Hardened model pipelines resilient against adversarial data manipulation.
Model robustness assessment and training data sanitization pipeline spec.
Organizations unaware of what sensitive internal data or employee credentials are exposed publicly.
Full intelligence brief on external exposures leveraged by threat actors during target selection.
OSINT threat dossier, exposed credential list, and digital footprint audit.
Untested perimeter controls against advanced phishing, credential stuffing, and edge-service exploitation.
Measurable validation of perimeter defense readiness against real-world intrusion vectors.
Initial access campaign debrief and perimeter control gap analysis.
Uncertainty regarding how far an attacker can move laterally after breaching a single workstation.
Identification of critical domain controller paths and privilege escalation choke points.
Red team timeline narrative, domain compromise path map, and tactical remediation steps.
SOC teams lacking real-world feedback on whether their SIEM/EDR alerts trigger during active simulation.
Optimized logging rules, reduced alert fatigue, and verified threat detection coverage.
Purple team telemetry mapping spreadsheet and Sigma rule repository.
Lack of clarity on whether data exfiltration controls can catch unauthorized staging of sensitive data.
Hardened data loss prevention (DLP) controls and monitored egress pathways.
DLP evasion analysis and egress filtering optimization report.
Security considerations overlooked during system design leading to expensive post-launch rewrites.
Systematic threat identification and mitigation mapping built directly into design stages.
STRIDE/PASTA threat models, data flow diagrams, and mitigation trackers.
Unclear separation between public, internal, and highly sensitive data handling systems.
Enforced structural network zoning and isolated data custody zones.
Data flow architecture blueprint and boundary enforcement checklist.
Fragmented security tools creating gaps in coverage and administrative overhead.
Consolidated security control matrix aligned with business risk tolerance.
Control gap analysis and security tool rationalization roadmap.
Implicit trust models ('castle-and-moat') allowing unrestricted internal network wandering after perimeter breach.
Continuous verification architecture where every user and device is authenticated and authorized.
Zero-Trust architecture migration framework and identity-centric policy design.
Off-the-shelf security software failing to integrate cleanly with proprietary internal tech stacks.
Tailored security controls engineered specifically to fit developer workflows and app constraints.
Custom security middleware specifications and implementation blueprints.
Connect directly with Rupam Security engineers to map out multi-vector testing programs matching your exact organizational requirements.