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The future belongs to systems that can prove provenance, context and chain of custody. The Growing Challenge of Digital Trust Artificial intelligence is changing the way we think about trust. Every day, AI-generated images, videos, audio recordings, emails, documents, software and social media content are becoming more convincing and more difficult to distinguish from human-created […]
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The future belongs to systems that can prove provenance, context and chain of custody. The Growing Challenge of Digital Trust Artificial intelligence is changing the way we think about trust. Every day, AI-generated images, videos, audio recordings, emails, documents, software and social media content are becoming more convincing and more difficult to distinguish from human-created […]
Dynamic threat modeling and risk assessment aligned with global regulations
LLM-agnostic generative AI layer powering automation across every module
Aggregated threat feed contextualized against your actual products
Generate, manage, and triage all BOMs and vulnerabilities across the lifecycle
Quantitative optimization of mitigation strategy and security control allocation
Configurable dashboards and reports across every EVSec data layer
Extract software composition and risk from firmware and binaries without source code
Optimized anomaly detection for Ethernet and CAN, plus ECU runtime protection
Quantify and manage cybersecurity risk for products operating in the field
Enrich SOC events with deep product and architecture context
Context-driven test and validation with intelligent fuzzing, integrated into CI/CD
AI-powered static analysis integrated into CI/CD with reduced false positives
Foundational layer: cyber model, workspaces, and integration backbone to DevOps toolchain
Out-of-the-box and customizable workflows for regulatory and security processes
Centralized compliance management with evidence generated from live data