Netarx, a leader in digital trust and enterprise security, has announced a strategic partnership with People Driven Technology (PDT), a Michigan-based organization focused on delivering measurable technology outcomes. This collaboration aims to strengthen enterprise defenses against the rising threats of AI-driven disinformation and deepfake attacks, ensuring secure and trustworthy communication channels for clients. Combining Advanced
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All posts tagged in AI Governance
As AI agents become increasingly autonomous in performing tasks for users, ensuring they respect privacy norms is more important than ever. Central to this effort is the concept of contextual integrity, which views privacy as the appropriateness of information flow within specific social settings. For AI systems, this means sharing only relevant information based on
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Cyber threats are becoming more advanced and harder to spot. The 2026 Entrust Identity Fraud Report shows a sharp increase in the use of deepfakes and social engineering tricks. Fraudsters are using artificial intelligence to create convincing fake images, videos, and messages, making it tougher for organizations to protect identities and avoid financial losses. Deepfake
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Sometimes, even the best security systems hit a snag. That’s what happened to a major cryptography organization during its recent election. The International Association of Cryptologic Research (IACR) had to cancel its election results because an official lost an essential decryption key. The votes were cast using Helios, an open-source voting system known for its
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Saudi Arabia is making a big move toward controlling its digital future. The country has signed a multi-year agreement with a European AI infrastructure company called D-AI, along with its national investment fund, PIF. This partnership aims to build local data centers, digital identity systems, and cloud platforms that are fully under Saudi control. It’s
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As generative AI becomes more common in workplaces, companies are moving from playful experimentation to serious engineering. The early days of vibe coding—where AI simply helped write code—are fading. Now, organizations are focusing on building reliable systems with guardrails that steer AI in the right direction. From Vibe Coding to Responsible AI Engineering In the
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By 2027, artificial intelligence is expected to influence or even make the majority of business decisions. This shift is changing the way organizations operate, pushing leaders to adapt quickly. The upcoming Gartner Data & Analytics Summit 2026 aims to equip these leaders with the tools and knowledge needed to navigate this evolving landscape. Focus on
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Microsoft is rolling out a new tool called Agent 365 (A365), aiming to be the central hub for managing AI agents in organizations. As more companies deploy AI agents to handle tasks and connect to sensitive data, IT teams need better ways to keep everything secure and organized. The goal is to prevent chaos as
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Ever seen a simple code change take forever to get approved? It happens in many tech teams. Engineers spend hours refreshing pull requests, waiting for reviews, and chasing approvals. It’s frustrating when building takes minutes but getting the green light drags on for days or weeks. This slowdown isn’t about quality—it’s about how responsibility gets
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Cybersecurity experts have found serious security holes in popular AI inference server frameworks used by big companies like Meta, Nvidia, and Microsoft, as well as open-source projects such as vLLM and SGLang. These vulnerabilities could allow hackers to run malicious code remotely, posing a big risk to enterprise AI systems. A key issue is how
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