ObjectSecurity - Deep Software and AI Assurance
ObjectSecurity provides software and AI assurance tools for defense programs that need to trust what is actually deployed in mission systems, especially where failure, compromise, or downtime carries mission impact. Modern systems inherit risk through vendor components, legacy binaries, container images, and fast-changing AI models.
Teams are often asked to approve releases with limited visibility, incomplete documentation, or no source code access. ObjectSecurity closes that gap by producing evidence tied to deployed software and AI, supporting more confident decisions during development, acquisition, and sustainment.
BinLens - Automated Binary Vulnerability Analysis
BinLens validates compiled software when source code is unavailable or impractical to review, using automated binary analysis to uncover potential zero-day vulnerabilities with a low false-positive rate. It is especially useful for vendor software, embedded components, legacy applications, and other compiled artifacts that must be trusted with limited source access.
Powered by automated symbolic execution, BinLens excels at finding memory-safety violations and other undefined behaviors that can create exploitable conditions in mission systems. It also automates static analysis, disassembly, and decompilation, enabling security teams to triage faster and focus on the findings that matter most. BinLens supports controlled deployments, including on-prem and air-gapped use, for defense and embedded environments.
BinLens delivers deeper, more accurate binary vulnerability analysis for defense teams securing mission-critical software.
FortiLayer - AI/ML Trust and Security Analysis
FortiLayer is designed for teams deploying AI in mission-critical environments. It allows teams to determine whether a model is resilient, explainable, and ready for deployment where brittle behavior or hidden weaknesses can create operational risk.
It performs deep analysis of model internals through a layer-by-layer view to surface security and reliability issues that do not appear in simple output testing. FortiLayer provides LLM security & content moderation using a whitebox approach for self-hosted models. FortiLayer identifies weaknesses such as adversarial susceptibility, overfitting, and underutilized neurons, then supports mitigation through rapid patching and targeted fine-tuning to improve robustness and performance.
FortiLayer enables defense teams to deploy AI with greater confidence by identifying weaknesses that can undermine reliability, safety, and mission performance.
ObjectSecurity supports DevSecOps, acquisition, and sustainment teams in making better decisions about deployed software and AI models by grounding release, remediation, and risk acceptance decisions in technical evidence.