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Explore the intersection of AI and cybersecurity. Stay informed on AI-driven security trends, tools, and threats in the ever-evolving digital landscape.

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Artificial intelligence (AI) describes computer systems that perform tasks such as recognizing patterns, making predictions, understanding language, or generating content. In security reporting, the term commonly includes machine-learning models used for detection and analysis, as well as generative AI applications that produce text, code, images, or other outputs.

AI can help analyze security telemetry, prioritize vulnerabilities, and support investigations, but its outputs can be wrong or manipulated. Important attack surfaces include prompt injection that steers an application into unintended actions, sensitive data being exposed through prompts or model outputs, and excessive permissions granted to AI systems that use external tools. Models can also be degraded by poisoned training data or evaded with carefully crafted inputs. Practitioners should protect training and operational data, limit model access and tool permissions, test for adversarial behavior, and require appropriate human validation before high-impact decisions.

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Chinese-Made AI App Faces European Privacy PushbackA German data regulator on Friday ordered Apple and Google to remove the Chinese artificial intelligence DeepSeek app from online stores over non-compliance with privacy and digital service rules. Commercial transfers of data outside of trading bloc members are governed by a complex legal system

Thousands of MCP Servers Leave AI Apps Open to Attack SurfacesHundreds of Model Context Protocol servers designed to help AI tools access private data are insecurely exposed online, say BackSlash Security researchers. Weak configurations leave systems vulnerable to data leaks and remote code execution attacks.

Also: India's New Privacy Law; Monitoring Operational Technology EnvironmentsIn this week's update, four ISMG editors discussed frontier artificial intelligence models' propensity to engage in unethical behavior, getting ready for India's new data protection law and how to improve hardening and security monitoring for operational technology environments.

Why Cynomi's Embrace of AI-Driven Security Tools Will Drive MSP and MSSP EfficiencyCynomi’s recent Series B funding round will deepen AI features, expand its Solution Showcase and enable managed service providers to deliver cybersecurity at scale. CEO David Primor says the company is building the operating system for MSP and MSSP cyber operations.

Bank Info Security 1 year ago

Why Data-Centric Security Matters Now

Forcepoint's Ronan Murphy on Data-Centric Security in the AI EraTechnologies such as AI and cloud are accelerating digital transformation programs across all industries, leaving CISOs with a stark choice: Hit the brakes on innovation or secure the data that's fueling it. Forcepoint's Ronan Murphy shares ways to navigate this changing security landscape.

Google's Anton Chuvakin Calls for Layered Defenses When Deploying AI ToolsAccording to Anton Chuvakin, security advisor at Google Cloud's Office of the CISO, relying solely on artificial intelligence model training or adversarial testing is not enough. Effective AI defense demands a "defense-in-depth" approach and proven best practices for autonomous actions.

The U.S. Cybersecurity and Infrastructure Security Agency (CISA) on Wednesday added three security flaws, each impacting AMI MegaRAC, D-Link DIR-859 router, and Fortinet FortiOS, to its Known Exploited Vulnerabilities (KEV) catalog, based on evidence of active exploitation

Predibase Acquisition Adds AI Talent, Cost-Optimization and Fine-Tuning Model TechRubrik has acquired Predibase to accelerate enterprise generative AI adoption with improved accuracy and efficiency. Rubrik will combine its trusted data security with Predibase’s model hosting and tuning to drive scalable, trustworthy AI deployment to help scale projects from pilot to production.

AI Assistants Accelerate Coding But Can Create Huge Risks for the InexperiencedWhen used well, vibe coding can unlock astonishing productivity and lower the barrier to getting ideas off the ground. But here's the problem: Too many newcomers are mistaking it for a replacement for a deep understanding of coding and software development principles.

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