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AI-Amplified Software Supply Chain Attacks
One of the most under-recognized threats emerging in 2026
is AI-amplified software supply chain attacks. These incidents
exploit trusted but compromised code —particularly through shared
libraries and third-party dependencies — enabling malicious actors
to propagate harmful code across entire ecosystems.
Recent analysis indicates that software supply chain attacks more
than doubled globally in 2025, with over 70% of organizations
reporting at least one incident involving third-party code. Global
losses are projected to reach $60 billion, underscoring the scale
and financial impact of this growing risk.
The Attack Surface Shifted
The attack surface has fundamentally shifted. Threat actors are no longer focused on breaching network perimeters but are instead compromising software at the source — during assembly rather than deployment. Key entry points include poisoned dependencies (35%), compromised CI/CD pipelines (22%), unverified container images (20%) and maintainer account takeovers (18%). Once a malicious component infiltrates a base image or library, it can spread across 100% of downstream services, dramatically increasing the blast radius.
Direct, Transitive and Development Dependencies
Most organizations don’t realize that every direct dependency brings with it a hidden web of transitive and development dependencies — sometimes dozens per library. These indirect components, often unvetted and unmonitored, create blind spots attackers exploit. By minimizing all forms of third-party code—including transitive chains, we eliminate entire classes of hidden risk and reduce the attack surface, before deployment.
True Resilience Means Design - Not Detection
True resilience requires a shift from detection to design. Organizations must move beyond reactive scanning and adopt build-time validation, strict dependency controls and architectural containment. The ability to trace software provenance, verify integrity and rebuild quickly is becoming a core requirement — not just for security, but for regulatory compliance, procurement and insurance. As software ecosystems grow more interconnected, resilience will be defined by verifiable foundations, not just speed of delivery.
A Clean CVE Record
Since 2020, we’ve operated on a simple principle: real security
is designed in from the start — not layered on later. That commitment
has made us a benchmark for architectural integrity in enterprise
software.
Our codebase has maintained a clean record in the public CVE database,
supported by continuous security testing and code review.
This means no disclosed vulnerabilities — not fewer eyes.
Independent testing and strict SDLC controls have resulted in zero
reported CVEs to date — a by-product of our design focus on isolation,
per-client encryption and CSP-aligned architecture.
Other ERP Vendors
While many ERP vendors carry hundreds or thousands of CVE disclosures in public databases,
our platform has maintained a clean record thanks to a minimal attack surface,
per-tenant isolation and proactive testing. We disclose transparently when
issues arise, but our design eliminates entire vulnerability classes before
they can occur.
A CVE is a public record of a security flaw. Fewer CVEs can mean stronger
design — or less disclosure. The difference is process. Our processes keeps
our footprint small.