Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Securing Agentic AI on Mobile

AI adoption is accelerating at an unprecedented rate. A recent McKinsey survey found nearly 80% of enterprises now regularly use generative AI, outpacing the early adoption of both the personal computer and the public internet. Agentic AI—autonomous agents capable of planning, reasoning, and acting on a user’s behalf—has likewise moved from pilots to production, with 79% of senior executives reporting adoption.

How AI Changes the Way Influencers Create Content

Influencers used to rely on instinct. They posted what felt right, read comments, and hoped engagement would confirm the guess. Now, artificial intelligence reshapes that entire rhythm. With tools like instagram following tracker, creators no longer move blindly. They can trace patterns in audience behavior, spot trends forming in real time, and adjust before attention drifts elsewhere.

How AI is transforming Elastic's Security team

Spending hours creating threat intelligence reports is a thing of the past with our InfoSec AI Assistant, built on Elastic’s Search AI Platform. Mandy Andress, our CISO, shares how the AI Assistant has transformed the way our security team gathers, documents, and reports on threats — cutting report-building time by over 75%. Learn how we’re using generative AI to build threat intelligence reports quickly, assess relevance and risk faster, and shift from reactive defenses to proactive security strategies.

The Security Paradox of AI Video Generation: Why ChatGPT's Sora2 Access Demands New Digital Verification Standards

The launch of OpenAI's Sora2 model has fundamentally transformed the landscape of AI-generated video content. As the successor to the groundbreaking Sora, this advanced text-to-video AI system can now produce photorealistic video sequences up to 20 seconds long from simple text descriptions.

The Hidden Cybersecurity Threat: Securing the Human-AI Relationship

The conversation about AI in cybersecurity is missing the point. While the industry has been focused on the emergence of AI-generated phishing emails, perhaps a far more profound shift has been somewhat ignored. Your workforce is no longer just human. It's a hybrid team of people, AI agents, copilots, assistants and digital partners. This creates a new and complex attack surface. The next great security challenge isn't just protecting a human from a machine.

Best Practices for Protecting Data Privacy in AI Deployment in 2025

AI is no longer a side project. It now powers support desks, analytics, knowledge search, decision support, and developer tooling. That reach makes data privacy a daily engineering task, not an annual policy exercise. Teams that succeed treat privacy like performance or reliability: they design for it, measure it, and improve it with each release. This guide captures Best Practices for Protecting Data Privacy in AI Deployment that work across industries.