New service line

SecureOSS 360 — Enterprise Open-Source Security & Lifecycle Assurance

Build trusted software. Secure every dependency. Protect every release.

Open source now runs nearly every enterprise application — and most organisations have no continuous way to discover, prioritise, fix, and prove the security of it. SecureOSS 360 covers the full software supply chain, from the browser to the autonomous AI agent, as one managed platform and engineering team.

Why this, why now

Adoption has outrun governance

Open source is no longer a cost-saving convenience — it's the substrate of almost all commercial software, and AI coding assistants are now generating open-source-dependent code faster than most teams can review it.

A newer layer has opened on top of the classic stack: autonomous AI agents, multi-agent systems, and the protocols connecting them to tools and data carry their own emerging class of risk that most security programs weren't built to cover.

At the same time, software supply-chain regulation is moving from best practice to deadline-driven law — Software Bill of Materials (SBOM) generation and disclosure obligations are expanding globally, and enterprises increasingly need to produce one, not just consume one. SecureOSS 360 exists to close the gap between how fast open source is adopted and how slowly it's governed — across every layer, in one place.

Today's threat landscape

Traditional scanners find known vulnerabilities. That's no longer enough.

SecureOSS 360 correlates technical findings with business impact, ownership, exploitability, and compliance obligations — across the threats that now define the software supply chain:

  • Malicious open-source packages
  • Dependency confusion attacks
  • Typosquatting attacks
  • Build pipeline compromise
  • CI/CD workflow abuse
  • Container image poisoning
  • Artifact tampering
  • AI model & dataset poisoning
  • Software update hijacking
  • Secrets leakage in repositories
  • License compliance violations
  • Runtime dependency exploitation
Why organisations need this

The questions most security teams can't answer today

  • Which open-source components do we actually use?
  • Which business applications are affected by a newly disclosed vulnerability?
  • Which systems expose sensitive customer or patient data?
  • Can we safely upgrade without breaking production?
  • Is a secure patch available — or do we need engineering support?
  • Can we prove software provenance to auditors and customers?
  • Are our CI/CD pipelines producing trusted, signed, reproducible builds?
  • Who actually owns this dependency when something breaks?

SecureOSS 360 answers these through continuous discovery, dependency intelligence, AI-assisted risk prioritisation, secure patch engineering, and lifecycle governance — not a point-in-time scan.

One platform, complete lifecycle

Continuous governance, not a one-time scan

Discover → Inventory → SBOM → Dependency Intelligence → AI Risk Analysis → Patch Engineering → Secure Build → Compliance → Deployment → Continuous Monitoring → Executive Governance

Platform modules

Named engines behind the coverage model

Each module owns one part of the lifecycle, so nothing falls through the cracks between discovery and executive reporting.

SecureOSS Discovery Engine

Automatically discovers repositories, containers, Kubernetes clusters, VMs, cloud workloads, binaries, package managers, and runtime dependencies into one asset inventory.

DependencyGraph AI

Builds a knowledge graph linking applications, repositories, dependencies, containers, APIs, and business services — for impact analysis, ownership tracking, and upgrade simulation.

SBOM Vault

Centralises SBOM management using SPDX, CycloneDX, VEX, and CSAF, with version history, digital signing, and audit-ready reporting.

SupplyChain Guardian

Continuously monitors source repositories, build pipelines, package registries, artifact and container registries, and production for supply-chain compromise.

PatchFactory AI

Combines AI-assisted analysis with human engineering to recommend, validate, backport, regression-test, and certify secure patches.

SecureBuild Factory

Implements trusted build production using SLSA, Sigstore, Cosign, in-toto, provenance attestation, and reproducible builds.

Compliance Copilot

Automates evidence collection and maps continuous compliance posture against frameworks such as HIPAA, PCI DSS, ISO 27001, SOC 2, NIST, and the EU Cyber Resilience Act.

Developer Security Copilot

Sits inside developer workflows with secure coding guidance, dependency recommendations, pull-request review, and secret detection.

Executive Risk Command Center

Turns technical risk into business intelligence — dashboards, KPIs, remediation tracking, and supply-chain governance metrics for leadership.

The coverage model

Twelve layers, one system of record

Every layer runs the same operating loop — monitor, assess, fix, attest — feeding one unified inventory so you can answer any audit or customer security question about any component from a single source of truth.

Frontend & Client-Side

Dependency and lockfile integrity monitoring for the layer with the largest install base.

Backend & App Frameworks

SCA and patch engineering wired into the pull-request gate, including for AI-assisted commits.

Databases

Engine patch lifecycle, hardening baselines, and guardrails for agent-generated queries.

Middleware & API Gateways

Gateway hardening, plugin vetting, and policy enforcement across API traffic.

Queuing & Messaging

Broker hardening and authorisation review for the systems feeding downstream pipelines.

Operating Systems & Base Images

Minimal, hardened image curation with continuous re-scanning, not just build-time checks.

Containers & Kubernetes

Cluster hardening, signed-workload admission control, and vetted Helm charts and operators.

Networks & Service Mesh

Segmentation design, mutual TLS, and zero-trust mesh policy authoring.

Observability & Monitoring

Secure-by-default monitoring stack deployment, extended to agent-call tracing.

Codebases & CI/CD Supply Chain

SBOM and build-provenance generation, signed commits, and CI/CD credential hardening.

LLMs & Model Layer

Model provenance verification, safetensors migration, and AI-BOM generation before deployment.

Flagship

AI Agents & Agent Swarms

Agent runtime security, MCP/tool-server hardening, agent identity & guardrails, and structured red-teaming — the newest and most differentiated line in the model.

Beyond infrastructure

Six domains where open source now touches revenue directly

Data platforms, AI tooling, and the CRM/ERP systems that run sales, invoicing, and inventory carry the same governance gap as classic infrastructure — with more direct exposure to business continuity and customer data.

Data Warehousing

ClickHouse Apache Druid Apache Trino

Patch lifecycle, hardening, and config-drift monitoring for self-hosted analytics clusters.

Data Engineering

AirflowdbtKafkaSpark

Pipeline credential hardening, connector vetting, and dependency governance across orchestration tooling.

Machine Learning & MLOps

MLflowKubeflowRay

Model registry access control, training-data provenance, and drift monitoring.

AI Application Tools

LangChainVector DBsLocal LLM inference

Model provenance verification, prompt-injection surface review, and agent/tool vetting.

CRM Platforms

SuiteCRMEspoCRMVtiger

Patch lifecycle and hardening for self-hosted CRM running real sales and support operations.

ERP Platforms

OdooERPNextDolibarr

Managed patching and hardening for systems where downtime stops invoicing, payroll, and inventory outright.

How it's delivered

Four tiers, the same operating loop underneath

T0 · DISCOVER

Free full-stack risk assessment

A one-time scan across every layer in scope, plus an SBOM snapshot and an executive risk report — the entry point, at no cost.

T1 · MONITOR

Continuous vulnerability alerting

Ongoing monitoring of every component and version in scope, with alerts as new vulnerabilities are disclosed.

T2 · FIX

Managed remediation & patch engineering

Certified, tested fixes — including custom engineering for issues with no community fix available yet.

T3 · RUN

Full managed DevSecOps

End-to-end automated fix deployment, ongoing AI-agent guardrail operations, and continuous compliance reporting.

Why SkandaShield

Beyond vulnerability identification

Traditional security approach SkandaShield SecureOSS 360
Finds vulnerabilitiesDiscovers, prioritises, engineers, validates, and governs remediation
Standalone toolsUnified platform + professional services + managed operations
Technical findings onlyBusiness risk, compliance, and executive context
Generic patch guidanceAI-assisted, human-validated patch engineering
Periodic assessmentsContinuous lifecycle governance
Separate vendors for engineering and securityIntegrated cybersecurity and software engineering expertise
Business outcomes

What you're actually buying

Cost Avoidance & TCO Reduction

Avoiding the cost of a breach, an outage, or an expensive proprietary migration.

Risk & Compliance Certainty

A defensible, audit-ready answer to any regulator, customer questionnaire, or board risk committee.

Business Continuity

Guaranteed uptime and integrity of the systems the business cannot function without.

Revenue Enablement

Shipping new data, ML, or AI features faster without security review becoming the bottleneck.

Talent Leverage

Freeing scarce internal engineering time from patch management and compliance paperwork.

Trusted Software Releases

Signed, provenance-verified builds you can stand behind with customers and auditors alike.

Executive Visibility & Governance

One dashboard turning technical risk into KPIs a board or risk committee can actually use.

Secure AI-Assisted Development

Safe adoption of AI coding assistants and autonomous agents without expanding the attack surface.

Who it's for

Any organisation whose revenue runs on open source

Healthcare & HealthTech BFSI Government Telecom Manufacturing Energy & Utilities Life Sciences & Pharmaceuticals SaaS providers ISVs GCCs Startups scaling to enterprise
Frequently asked

Common questions about SecureOSS 360

What is an SBOM and why does my organisation need one?

A Software Bill of Materials is a complete inventory of the open-source components inside your software. Global supply-chain regulation is increasingly requiring organisations to produce one on request — SecureOSS 360 generates and maintains it continuously so you're never scrambling to build one from scratch.

Is this a one-time assessment or ongoing coverage?

Both, by design. Start with the free Discover assessment, then move into continuous Monitor, Fix, or full managed Run coverage as your needs grow — the same four-tier model used across SkandaShield's other services.

Do you support the specific open-source stack we run?

SecureOSS 360 is vendor-neutral and covers any ecosystem across all twelve layers, plus data, ML, CRM, and ERP platforms. Tell us your stack on the assessment call and we'll scope coverage against it directly.

How does this fit with SkandaShield's other services?

SecureOSS 360 shares the same platform, reporting, and engineering team as VAPT, Managed Security, DevSecOps, and Compliance Advisory — it's an additional coverage layer, not a separate vendor relationship.

Ready to build trusted software?

Whether you're modernising legacy applications, scaling cloud-native platforms, securing AI-driven development, or strengthening supply-chain resilience — one scan, an SBOM snapshot, and an executive risk report, at no cost.