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.

A battle-tested framework for operationalizing AI security governance before regulators do it for you — from risk tiering to audit trails to incident response playbooks.

Never trust a tensor. Implementing zero-trust principles across the AI/ML pipeline from data ingestion to model inference — with concrete controls for each trust boundary.

When the model becomes the malware author: hardening your pipeline against AI-generated code attacks — including output validation, sandboxing, and trust boundary enforcement.

From framework theory to production reality — deploying AI risk management that actually works. A battle-tested implementation guide for GOVERN, MAP, MEASURE, and MANAGE functions.

A technical deep-dive into protecting PHI when your diagnostic model is the attack surface. Covers HIPAA compliance gaps in ML pipelines, de-identification failures, and audit-ready architectures.

How attackers weaponize the mathematics of machine learning against enterprise defenses — including evasion attacks, model extraction, and adversarial example generation with working code.

How adversaries weaponize large language models to craft hyper-personalized attacks at scale. Includes spear-phishing automation, OSINT-to-payload pipelines, and detection countermeasures.

How synthetic media is weaponizing trust and enabling $4.7 billion in BEC fraud. Covers deepfake detection evasion, voice cloning attack chains, and what security architects must build to survive.

How to protect the most vulnerable surface in modern AI systems before attackers exploit it. Comprehensive security architecture for RAG deployments from query to retrieval to generation.

How to deploy AI-powered offensive capabilities — AutoAttacker, LLM-driven fuzzing, and autonomous recon — to stress-test your defenses before threat actors exploit them.

Your helpful AI assistant might be the most sophisticated insider threat you've ever deployed. A technical walkthrough of how enterprise chatbots become data exfiltration vectors.

When your AI becomes an unwitting data exfiltration tool. Technical breakdown of model inversion, membership inference, and training data extraction attacks with defensive countermeasures.

A strategic playbook for quantifying, communicating, and mitigating AI risk at the enterprise level — with frameworks CISOs can present to any board.

Why your API gateway's rate limiter is just the bouncer, not the security system. Defense-in-depth architecture for the LLM era — from auth to output filtering to abuse detection.

A strategic playbook for translating AI security risks into boardroom language and defensible governance frameworks — including FAIR quantification for ML-specific threats.

From technical threat models to boardroom presentations: a strategic blueprint for enterprise AI governance that earns budget and executive buy-in.