Attackers are using AI to poison training datasets, inserting stealthy manipulations and hidden backdoors that compromise model integrity. This playbook explains how these attacks work, why they matter, and the best practices defenders need to detect, contain, and recover from poisoned models.
Today’s briefing highlights a critical Salesforce AgentForce vulnerability (ForcedLeak), and Google’s new Agent Payments Protocol (AP2) that allows AI agents to transact autonomously. Extended coverage includes U.S. policy debates around AI-China tension and Kuwait’s deployment of AI surveillance vehicles.
The update outlines significant risks in AI security, highlighting data exposure from generative AI, vulnerabilities in AI-assisted coding, and weaknesses in Model Context Protocols. It emphasizes the need for strict access controls, better code reviews, and enhancing security at the data infrastructure level. Legislative support is also crucial for advancing AI cybersecurity efforts.
Overview Credential stuffing attacks use stolen username and password pairs to gain unauthorized access to accounts. With artificial intelligence, attackers can supercharge these campaigns, automating large-scale testing, bypassing detection, and adapting in real time. The result is faster, stealthier, and… Read More ›
A concise, fact-based update for security and risk professionals. This post follows the combined format: core technical stories first, then extended context for governance and broader AI risks. 🔐 Core Security Intelligence 1) SAP & OpenAI launch “OpenAI for Germany”… Read More ›
Overview Supply chain attacks exploit the trust organizations place in their vendors, partners, and software providers. With artificial intelligence, adversaries can now automate reconnaissance of suppliers, generate convincing phishing content, and even modify malicious code to evade detection across diverse… Read More ›
Overview Rootkits have always been among the stealthiest forms of malware, hiding in kernels, firmware, or boot processes. With artificial intelligence, they are becoming adaptive, shape-shifting threats that can evade security tools, persist through reboots, and even survive full system… Read More ›
A concise, fact-based update for security and risk professionals. Topics today cover model safety, generative attack acceleration, telecom infrastructure threats, and protocol vulnerabilities in agentic AI. 🔍 New Stories 1) Google updates Frontier Safety Framework to address model resistance to… Read More ›
Overview Industrial control systems power critical infrastructure: energy, water, manufacturing, and transport. AI is lowering the skill barrier for mapping and exploiting these environments. Attackers can now use machine learning to identify devices, decode proprietary protocols, craft believable malicious commands,… Read More ›
A concise, fact-based update for security and risk professionals. Today’s items focus on workload security, governance burdens, and zero-trust edge protections. 🔍 New Stories 1) Tigera Calico adds protections for AI workloads in Kubernetes clusters What’s new:Tigera announced new features… Read More ›
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