Deep dives, actionable guides, and research to help you navigate the complex landscape of AI governance and defense.
The definitive guide to the world's first AI management system standard. Learn how to prepare your organization for certification.
A practical playbook for implementing the NIST AI Risk Management Framework's four core functions: Govern, Map, Measure, Manage.
The new 2025 vulnerabilities list is out. Learn about System Prompt Leakage, Excessive Agency, and how to secure your apps.
A comprehensive breakdown of the EU AI Act's requirements, risk categories, and what it means for your enterprise AI strategy.
Understand the anatomy of prompt injection attacks, from basic jailbreaks to advanced multi-modal exploits, and how to defend against them.
"Garbage in, disaster out." How attackers manipulate training data and RAG knowledge bases to compromise your AI models.
Employees are using AI without IT's knowledge. Learn the risks of Shadow AI and how to implement a safe BYOAI policy.
How to extend your SOC 2 Type II controls to cover AI models, training data, and inference pipelines.
Deep dive into the harmonized standards (CEN/CENELEC) that will define compliance for the EU AI Act.
A guide to New York City's bias audit requirements for Automated Employment Decision Tools.
Analysis of the California AI Safety Bill, the "kill switch" requirement, and what the veto means for the future.
How to handle the "Right to be Forgotten" in LLMs and the challenges of Machine Unlearning.
Securing Protected Health Information (PHI) in GenAI applications. BAA requirements and de-identification.
Learn how attackers use Model Inversion to reconstruct training data from AI outputs. Protect your sensitive datasets.
A primer on Evasion, Extraction, and Inference attacks. Understand how AI models can be tricked.
Retrieval-Augmented Generation (RAG) introduces new attack vectors. Learn how to secure your vector database.
Beyond basic jailbreaks. Learn about Indirect Injection, Multi-Modal attacks, and Polyglot exploits.
Managing risks from Hugging Face models, third-party APIs, and open-source libraries. Secure your AI BOM.
Protecting corporate identity from synthetic media attacks. CEO fraud, voice cloning, and verification strategies.
Who should be on your AI Governance Board? Learn how to structure the committee and define the charter.
A ready-to-use AI Acceptable Use Policy (AUP) for your employees. Define what is allowed and forbidden.
How to build the business case for AI security. Moving from 'cost center' to 'business enabler'.
A strategic guide for Chief Information Security Officers. Top 5 priorities for 2025.
Why 'Black Box' models are a liability. Understanding SHAP values and Chain-of-Thought.
Moving beyond vague 'AI for Good' statements. How to operationalize ethical AI frameworks.
What questions should you ask your AI software providers? A guide to third-party risk management.
Predictions for the next wave of AI laws. Global convergence, liability shifts, and the rise of 'AI Agencies'.
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