Secure By Dezign

From prompt injection to multi-turn manipulation: a comprehensive technical deep-dive into attacker TTPs and the defense strategies that actually work in enterprise deployments.

Translating AI security threats into boardroom language that drives action and budget — with model answers to the toughest questions your board will ask in 2026.

The distributed ML paradigm that promised privacy may be your biggest attack surface yet. Deep-dive into poisoning attacks against federated models, gradient inversion, and Byzantine fault tolerance.

Autonomous AI systems are rewriting the threat landscape. Deep-dive into agent hijacking, tool misuse, privilege escalation in multi-agent pipelines, and your survival guide for agentic deployments.

When employees bypass security to use ChatGPT, Claude, and dozens of other AI tools, they're not just breaking policy — they're creating attack surfaces you can't see. Here's how to find and fix them.

How adversaries weaponize the trust you place in pre-trained models, datasets, and ML dependencies. Covers backdoor injection, dataset poisoning, and dependency confusion in the ML pipeline.

How adversaries weaponize natural language to compromise your most trusted AI systems. Comprehensive coverage of direct and indirect injection, RLHF evasion, and enterprise-grade defenses.