AI Security Risks by Industry

1. What is New in the Manufacturing Industry and the Risks of AI

This newly published article explores how artificial intelligence is reshaping the manufacturing industry, examining both the opportunities and the cyber risk exposures that come with digital transformation and AI adoption in manufacturing environments. While HALOCK’s preview listing shows this post exists, the full content focuses on updating readers about sector-specific risk exposures associated with AI in manufacturing such as increased attack surface, supply chain risk, and operational technology concerns.

2. What is New with AI-Enabled Devices and Cyber Risk?

This timely post discusses how AI-enabled devices across industries behave differently from traditional technology, particularly how models that evolve or update after deployment complicate security baselines. It highlights how regulators expect ongoing risk management rather than one-time assessments, and describes risks like model extraction attacks against AI systems.

3. What’s New in Healthcare Risk and AI?

This piece covers cyber and AI-related risks in healthcare, such as data poisoning, inference attacks, and misuse of non-compliant public AI tools that could expose protected health information. It underscores the need for governance and risk programs that address both traditional medical cybersecurity and AI’s unique challenges.

4. What’s New in Financial Services Risk and AI?

Here HALOCK discusses the accelerating use of AI in financial services and the new risk implications, including AI-enabled credential testing, automated fraud attempts, vendor risk, and regulatory pressures that require risk governance around data, models, and third-party services.

5. AI and Cybersecurity Risk in the Insurance Industry

This recent article examines how insurers use AI for underwriting and fraud detection while also facing heightened risk exposure due to extensive personal data and regulatory complexity. It describes why strong risk management and defensible security frameworks are becoming essential.

6. Why Your Organization Needs Defensible AI and Emerging Tech Risk Management

HALOCK explains why traditional security programs struggle to keep pace with AI, automation, and cloud adoption, and how Duty of Care Risk Analysis (DoCRA) combined with Reasonable Security principles can help build a defensible and sustainable risk posture.

7. What is Shadow AI? How do Reasonable Security and DoCRA Help Manage AI Risk?

This article highlights the risk of “shadow AI,” where unsanctioned tools proliferate beyond organizational oversight, and shows how applying formal risk frameworks like Reasonable Security and DoCRA can help govern these exposures.

8. Frequently Asked Questions (FAQs) on Deepfake & Synthetic Media Regulations

This FAQ addresses evolving legislation around synthetic media and deepfakes, including new U.S. laws that criminalize non-consensual synthetic intimate imagery and other related state-level protections, showing how legal risk intersects with AI and cybersecurity.

9. Reasonable Risk Management in Times of AI Risk Expansion

This article draws parallels between the early internet boom and today’s rapid AI adoption, underscoring why risk assessments remain foundational as organizations confront new threats like prompt injection, deepfakes, and model inversion alongside traditional cyber risks.

10. ABCs of AI and Synthetic Media

This primer outlines key concepts and terminology in AI and synthetic media, explaining how technologies like GANs, LLMs, and deepfakes function and their implications for cybersecurity and trust.