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A buyer-focused guide to desktop application security audits for native software. It covers local privilege paths, update channels, API trust, and practical remediation priorities.
A guide to mobile app security audits across iOS, Android, and APIs. It covers local storage, token handling, trust boundaries, and buyer-ready findings.
A technical guide to red teaming customer-facing copilots and agents. It covers prompt abuse, tool abuse, failure cases, and the tests that matter before launch.
A practical guide to enterprise AI guardrails that teams can actually run. It covers policy design, authorization, auditability, and controls that fit production delivery.
A practical guide to private AI on mobile and edge devices. It covers on-device inference, data minimization, update strategy, and safeguards for sensitive workloads.
A technical guide to shipping autonomous AI systems beyond demo mode. It covers approvals, rollbacks, rate limits, and runtime controls for real production use.
