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Articles by Tag: AI Security

Your Threat Model Is Already Out of Date
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Your Threat Model Is Already Out of Date

Traditional threat modeling breaks in SMEs because it assumes stable architecture, clear ownership, and spare security capacity. AI can reduce the cost of system understanding and first-pass analysis, but it cannot replace ownership, risk judgment, or governance.
From Autonomy to Accountability: Managing Agentic AI Risks
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From Autonomy to Accountability: Managing Agentic AI Risks

Agentic AI shifts automation from single-task models to autonomous decision-makers, amplifying risks of misalignment, bias, and data leakage. OWASP’s new guidance equips SMEs with lifecycle security practices, ensuring governance, transparency, and resilience as autonomous agents move from experimentation into production. IT leaders and CISOs should read this article to learn how to secure agentic AI in production using OWASP’s guidance.
Rethinking Red Teaming for SME AI Models
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Rethinking Red Teaming for SME AI Models

SMEs have been adopting AI quickly, but AI models bring unique risks like hallucinations, bias, prompt injections, and data leakage. Built-in vendor safeguards are no longer sufficient. Cost-effective AI red teaming solutions allow SMEs to discover hidden threats in AI models. CISOs and security leaders can turn to these solutions to ensure that models are resilient to adversarial attacks, strengthen regulatory compliance, build stakeholder trust, and improve model reliability.
AI Bill of Materials (AIBOM) - Strengthening AI Integrity and Transparency
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AI Bill of Materials (AIBOM) - Strengthening AI Integrity and Transparency

The widespread adoption of Generative AI (GenAI) in applications offers substantial advantages but also introduces various threats because of the myriad components they comprise. To ensure the integrity of AI/ML systems, organizations should manage every component through an AI Bill of Materials (AIBOM) to inventory the data, models, and infrastructure used. Developers, data scientists, and security experts should advance their AI maturity by adopting AIBOMs to secure and optimize their AI systems.