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AI News and Analysis - Page 17

Generative AI, LLM security, AI agents and the vulnerabilities shaping them.

AI

AI‑Driven Agent Control Redefines Privileged Access After Cyera Deal

Cyera’s recent $1 billion purchase of Oasis Security signals a strategic push to unify data protection and identity management under a single AI‑controlled platform. By moving away from rigid role‑based permissions, the deal emphasizes context‑aware access that adapts to real‑time business needs. This shift could reshape how organizations enforce security across hybrid environments.

By Gourav Rajput

AI

GPT-5.6 Builder Guide: Faster Agents & Smarter Model Selection

Startups are transforming AI agent development with GPT-5.6, using smart model selection and new Responses API capabilities to build faster, more cost-efficient autonomous systems. This guide explores best practices for leveraging these advanced tools.

By Gourav Rajput

AI

OpenAI Ultrafast Mode: GPT-5.6 Sol Hits 14x Speed via Cerebras

OpenAI has unveiled 'Ultrafast,' a revolutionary API service tier that accelerates GPT-5.6 Sol to unprecedented velocities—up to 14 times faster than standard inference. By leveraging Cerebras Systems' wafer-scale engine architecture, the platform now delivers a staggering 750 output tokens per second, fundamentally shifting the economics and latency profiles for real-time AI applications.

By Gourav Rajput

AI

OpenAI Appoints Dali Rajic as CRO to Accelerate AI Growth

OpenAI has announced the appointment of Dali Rajic as its new Chief Revenue Officer, a move that signals a strategic push to broaden its commercial reach. Rajic, who brings a decade of experience in scaling AI products, is expected to lead the company’s global revenue organization and help enterprises unlock the value of AI services.

By Gourav Rajput

AI

AI API Flaw Exposes Hidden Model Reasoning

A recently uncovered security flaw in the API implementations of leading AI providers including OpenAI, Anthropic, and Google has revealed a concerning gap in how encrypted reasoning data is handled across sessions. Researchers were able to exploit this weakness to decode sophisticated reasoning patterns from advanced models using less powerful ones, potentially exposing sensitive information such as API keys and passwords stored within session logs.

By Gourav Rajput

AI

Enterprise AI Adoption: From Assistance to Execution

<h2>Introduction</h2> <p>OpenAI's latest research highlights a pivotal shift in how enterprises deploy AI. From initial experimentation to full-scale execution, organizations are harnessing tools like ChatGPT and Codex to redefine productivity and innovation. Frontier companies are leading this charge, integrating agentic AI into core operations. This article unpacks the strategies, challenges, and future trends shaping AI adoption in the corporate world.</p>

By Gourav Rajput

AI

RingCentral's AI-Driven Workflow: Engineering to Operations with ChatGPT and Codex

<h2>Introduction</h2> <p>RingCentral has emerged as a pioneer in integrating AI into enterprise workflows, transforming how engineering and operations collaborate. By leveraging cutting-edge tools like ChatGPT Work and Codex, the company is redefining efficiency in product development and operational intelligence. This shift isn’t just about technology—it’s about creating a seamless ecosystem where AI augments human expertise. Grivyonx Cloud, a leader in AI and cyber intelligence, offers complementary solutions to amplify such innovations through secure automation and threat detection.</p> <p>This article explores RingCentral’s AI-native strategy, its implementation challenges, and the broader implications for modern enterprises. We’ll break down how AI tools are centralizing operations, driving product innovation, and what this means for businesses aiming to stay competitive in a digital-first world.</p>

By Gourav Rajput

AI

AI‑Driven SharePoint RCE Flaw Exposes Unauthenticated Code Execution

Researchers have disclosed a critical flaw in Microsoft SharePoint that lets attackers gain full control of a server without any credentials. The vulnerability, tracked as CVE-2026-55040 with a CVSS score of 9.1, spans SharePoint Server Subscription Edition, 2019, and 2016. Notably, an AI agent played a pivotal role in identifying and chaining multiple weaknesses to achieve remote code execution as any user, including administrators.

By Gourav Rajput

AI

MCP Server Attacks: How Fragmented Commands Steal AI Agent Secrets

A novel attack technique targeting Model Context Protocol servers allows threat actors to bypass AI coding agent safeguards by splitting malicious instructions into seemingly harmless fragments. This supply chain vulnerability enables silent exfiltration of SSH keys, API tokens, and proprietary source code without triggering security alerts.

By Gourav Rajput

AI

OpenAI Tests Ads in ChatGPT

OpenAI has begun a controlled experiment to display clearly labeled ads inside ChatGPT, aiming to preserve free access while exploring sustainable revenue. The initiative includes strict privacy measures and user controls over ad visibility.

By Gourav Rajput

AI

GhostJacking: AI Agent Identity Theft Revealed

AI agents are increasingly central to business operations, yet a new threat—GhostJacking—shows how attackers can piggyback on security alerts to hijack these systems. By exploiting gaps in identity governance, malicious actors can manipulate AI behavior without triggering traditional defenses. This article explains the mechanics of GhostJacking, its real‑world implications, and actionable defenses to protect your organization.

By Gourav Rajput

AI

5 AI‑Native Finance Lessons from OpenAI CFO

OpenAI CFO Sarah Friar outlines five practical steps for creating an AI‑native finance function, emphasizing automation, stronger controls, ROI tracking, data integration, and continuous learning. These lessons illustrate how modern finance teams can leverage machine learning to boost accuracy, reduce manual effort, and deliver measurable business value.

By Gourav Rajput

AI

This Week's Cybersecurity Threats: AI Risks, Zero-Days & More!

This week's cybersecurity landscape reveals alarming trends: AI systems exhibiting unpredictable behavior, a critical Metabase zero-day vulnerability, complex supply-chain attacks, and exposed network routers. These threats highlight how simple security oversights can lead to major breaches. Stay informed about the latest risks and mitigation strategies.

By Gourav Rajput

AI

OpenAI Pledges Responsible AI Growth in Texas

In a recent correspondence, OpenAI expressed its dedication to building a trustworthy AI ecosystem across Texas. The missive highlights a roadmap for transparent operations, community benefit, and collaborative oversight, positioning the state as a potential hub for ethical AI innovation.

By Gourav Rajput

AI

North Korean Hackers Deploy Offline AI for Phishing and Malware

North Korea's Kimsuky hacking group has shifted from public chatbots to running AI models on internal servers. This move allows them to integrate document‑search utilities with stolen files and assemble AI components directly into malicious code, according to South Korean security firm Genians.

By Gourav Rajput

AI

Speeding AI Development Without Compromising Security

AI is reshaping how fast teams write code, but the surge in output can quickly outpace traditional security reviews. To avoid turning security into a fugitive, organizations need automated safeguards that work at the same pace as the code they protect.

By Gourav Rajput

AI

Zapier’s AI-Powered Marketing Overhaul with ChatGPT Work

Zapier’s marketing team adopted ChatGPT Work to tackle common bottlenecks in the customer journey. By integrating AI, they lowered lead funnel abandonment, accelerated the production of campaign materials, and introduced fully automated reporting. The result is a leaner workflow, faster time‑to‑market, and richer insights without manual overhead.

By Gourav Rajput

AI

AI-Generated Patches Fail Half the Time

A recent examination of over 6,000 AI‑crafted patches uncovered a startling pattern: many of the fixes intended to improve software actually introduced fresh problems, broke unrelated components, or left security gaps open. This analysis digs into why the automation that promises faster updates can be unreliable, what typical failure modes look like, and how development teams can safeguard their codebases while still leveraging AI assistance.

By Gourav Rajput