8 AI Security Reports - December 2025
📘 An Addendum to the Guidelines and Companion Guide on Securing AI Systems
Artificial Intelligence is driving efficiency and innovation across various sectors. To reap the benefits of AI, users need to trust that the AI functions as originally intended and that these systems remain secure. Last year, CSA published the Guidelines and Companion Guide on Securing AI Systems to help organisations adopt AI in a secure manner. The Guidelines lay out the foundational security principles for system owners to secure the use of AI throughout its lifecycle, while the Companion Guide provides practical measures and controls that system owners may consider as part of observing the Guidelines.
Source:
isomer-user-content.by.gov.s… by
@CSAsingapore
📘 The State of AI Security and Governance
CSA As enterprise AI adoption accelerates, organizations are employing a multi-model strategy dominated by GPT, Gemini, Claude, and LLaMA. Despite leadership enthusiasm, most organizations are still uncertain about their ability to secure AI systems. They cite persistent skills gaps and limited understanding of emerging AI-specific risks. Data exposure remains the top concern, even as threats like prompt injection and data poisoning continue to rise.
Authors: Hillary Baron,
@afabmedia,
@DanieleCatteddu,
@rmogull,
@YoTheShow, @antonchuvakin, Douglas Ko
Source:
cisa.gov/sites/default/files… by
@CISAgov
📘 Frontier AI Trends Report
Al Security InstituteThis report presents our current understanding of AI capability trends based on extensive testing across multiple domains. The data show consistent and significant improvements in model performance, though uncertainties remain about the trajectory and broader implications of these advances.
Source:
aisi.gov.uk/frontier-ai-tren… by
@AISecurityInst
📘 Cyber AI Profile - NIST
NIST’s preliminary draft Cyber AI Profile can help organizations strategically adopt AI while addressing and prioritizing cybersecurity risks stemming from its advancements.The Cyber AI Profile addresses the following Focus Areas:- Securing AI System Components (Secure)- Conducting AI-Enabled Cyber Defense (Defend)- Thwarting AI-enabled Cyber Attacks (Thwart).
Source:
nvlpubs.nist.gov/nistpubs/ir… by
@NIST
Authors:
@KonnectedKat, Barbara Cuthill, Marissa Dotter, Michael Garris, Ishika Khemani, Bronwyn Patrick, Noah Schiro, Julie Snyder, Mohammad Zarei
📘 OWASP Top 10 for Agentic Applications for 2026
The OWASP Top 10 for Agentic Applications 2026 is a globally peer-reviewed framework that identifies the most critical security risks facing autonomous and agentic AI systems. Developed through extensive collaboration with more than 100 industry experts, researchers, and practitioners, the list provides practical, actionable guidance to help organizations secure AI agents that plan, act, and make decisions across complex workflows.
Source:
genai.owasp.org/download/521… by
@OWASPGenAISec
Authors:
@JohnSotiro, Keren Katz, Ron F Del Rosario,
@Hacker0x01, Rakshith Aralimatti, Riggs Goodman, Gaurav Mukherjee, Kellen Carl,
@kenhuangus, Evgeniy Kokuykin, Aamiruddin Syed, Allie Howe, Vineeth Sai Narajala, Idan Habler, Joshua Back, Stefano Amorelli,
@mavroudisv, Diana Henderson, Adam Morris, Tomer Elias, Mo Sadek, Priyadharshini Parthasarathy
📘 Data Security within AI Environments
As organizations adopt large language models, multi-modal AI systems, and agentic AI, traditional safeguards must evolve. This publication provides a comprehensive, practitioner-focused overview of how AI reshapes modern data protection. Aligned to the CSA AI Controls Matrix (AICM), this guide outlines AI data security challenges and maps them to essential AI risk management controls.Understand why you must apply the CIA Triad differently in AI-driven ecosystems. Learn about emerging risks like cross-modal data leakage, data poisoning, insecure annotation pipelines, and unmonitored AI tool usage.Examine the regulatory landscape surrounding data protection in AI, including GDPR, CCPA, HIPAA, and global AI governance frameworks. Learn about privacy-enhancing technologies such as differential privacy, homomorphic encryption, secure multi-party computation, and tokenization.Finally, explore case studies (including Snowflake, OpenAI, and DeepSeek) to understand how weak governance can lead to critical failures.
Source:
cloudsecurityalliance.org/ar… by
@cloudsa
Authors: Rocco Alfonzetti, Alex Kaluza, Vashti H Horvát, Oliver Forbes, Gopi Ramamoorthy, Onyeka Illoh, Ikechukwu Okoli,
@prateekmittal_, Mahesh A., Naveed Afzal, Andrés Castagna, Jan Gerst, Swaminadhan Jagadeesan, Richard Kabanda, Sachindra Narayan Roy, Paul Son, Saurabbh Srivastava, Yuanji S., Sarah T., Ayoob Ullah, Washima T., Kachi Agu, Jayesh Dalmet, Rob Doyon, Udo Duro, Akshatha Gangadharaiah, Hariprasad Holla, Will Lemos, Ramesha Reddy Thimmasandra, Nsikak-Abasi Shammah Una, Akshat Vashishtha, Chad Walter, Hillary Baron, Stephen Lumpe, Stephen Smith
📘 Principles for the Secure Integration of Artificial Intelligence in Operational Technology
AI has the potential to increase efficiency and productivity, enhance decision-making, cut costs and improve customer experience, but introducing AI in operational technology (OT) environments can introduce risks that require careful management to support the safety, security, and reliability of OT systems.
Source:
cisa.gov/sites/default/files…
📘 AI and Threat Intelligence: The Defenders’ Guide
Flashpoint analysts track these developments in real-time across more than 100,000 illicit sources, monitoring everything from dark web marketplaces and Telegram groups to underground LLM communities. Between January 1 and May 30, 2025, we observed over two and a half a million AI-related posts: jailbreak prompts, deepfake service ads, phishing toolkits, and bespoke language models built for fraud and cybercrime.
Source:
flashpoint.io/blog/ai-threat… by
@FlashpointIntel
#AISecurity #Cybersecurity #AIGovernance #AITrust #AgenticAI #AIAgents #LLMSecurity #GenAISecurity #PromptInjection #DataPoisoning #ModelSecurity #AIRisk #SecurityFrameworks #NIST #OWASP #CISA #CloudSecurityAlliance #ThreatIntelligence #OperationalTechnology #CyberAI