Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

How AI Transcribing Is Changing the Way We Work With Audio

Audio is everywhere. We record meetings, interviews, lectures, and voice notes every day, yet most of it is never heard again. It takes hours to type a recording by hand, so many recordings are just left in a folder. AI transcription is changing that, with a service that converts speech into text in mere minutes. It is changing the way we work in the following ways.

Egnyte Collaborates With Microsoft to Bring Governed AI to Windows 11

AI agents are moving beyond the browser and into the desktop applications professionals use every day. Egnyte is excited to announce a new collaboration with Microsoft to bring Egnyte AI to Windows 11 through Microsoft Execution Containers (MXC), enabling AI agents to work directly alongside desktop applications while operating within enterprise security boundaries.

Insignary Launches Clarity AIR to Detect Undeclared Open-Source and AI-Written Code

Insignary Launches Clarity AIR: Closing the Blind Spot Between What Your Developers Declare and What's Actually in Your Code. New snippet-level scanning shows security and compliance leaders which open-source code and which AI-written code never made it into a manifest.

Securonix Introduces Advanced Behavioral Analytics to Detect Human and AI-Driven Threats

New solution uses behavioural intelligence and governed Agentic AI to uncover human and AI-driven threats while keeping analysts in control, backed by new ISO/IEC 42001:2023 certification for responsible AI management.

Beyond Model Access: Frontier AI Defense Needs Runtime Prevention

Access to powerful AI models is opening new possibilities for cybersecurity. Models can help uncover weaknesses, investigate threats, and explore how attackers might break into an environment. Using several models can bring different strengths to that work. But model access alone does not answer a critical question: can your defense stop an attack while it is happening? In the frontier AI era, discovery needs to connect to action.

Your AI Transformation Needs Runtime Protection for the Whole Agentic Estate

AI Detection and Response (AI-DR), also called AI runtime security, is quickly becoming a must-have. Prompt injection, jailbreaks, and data leakage are real, and the prompt is often where attacks begin. But the prompt is only the first hop. In an agentic enterprise, a single instruction can trigger activity well beyond the LLM, all the way to your business systems and data.

Meet Dai Fujimoto: Building Zenity's Next Chapter in Japan

Japan’s Ministry of Finance reports that AI adoption in large local enterprises has surged to 89%. Companies are progressively choosing to incorporate AI agents into their workflows, building with Microsoft Copilot Studio, ChatGPT Enterprise, Claude, and a myriad of other platforms, all living across a variety of environments with autonomy, privilege, and minimal supervision.

Zenity for Claude Tag: Securing the Shared Agent in Your Slack Workspace

Ask AI to Choose a prompt Write a TLDR of this post Explain the security risk Summarize what CISOs should know Your team just hired someone who never sleeps, reads everything, and takes work from whoever asks. That’s the elevator pitch for Claude Tag, and on the face of it, it’s hard to see why anyone would push back on the new hire. Enterprises will want this in every workspace.