Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Securing AI agents: privileged machine identities at unprecedented scale

Earlier in 2025, an AI agent named Claudius made headlines when it insisted it was human, promising to deliver products in “a blue blazer and red tie.” Quirky? Sure. But beneath the strange admission sat a more important truth: today’s AI agents aren’t just chatbots with puppet-like ambitions, whose untruths would be betrayed by a growing nose. They’ve evolved into actors with real credentials, access, and autonomy.

AI can do what now?! Agentic AI is the autonomous future coming to security operations

Agentic AI in cybersecurity promises to transform workflows as we know them, enabling a new level of personalization, automation, efficiency, and innovation. It’s already being deployed by security teams for use cases like autonomous threat detection and response, advanced threat hunting, automated incident investigation, real-time fraud protection, and more. So, how is agentic AI working overtime to help security analysts build a more resilient security posture?

From Bottleneck to Enabler: A New Approach to API Security in the Age of AI

AI adoption has fundamentally redefined the role of APIs. They are no longer just conduits for data; they have become the “AI action plane” for autonomous systems. Every AI workflow, agent, and tool call now rides on an API, exposing a critical truth: you cannot secure AI without first securing your APIs. The H2 2025 State of API Security report reveals that this dependency is dangerously outpacing current security practices.

Securing the Human-AI Boundary: Why the Future of Cybersecurity Must Train People and AI Agents

The cybersecurity landscape is undergoing its most dramatic transformation since the dawn of the internet. AI has become integral to business operations. Goldman Sachs estimates that agentic AI/AI agents will account for approximately 60% of software market value by 2030, and Gartner predicts that 40% of enterprise applications will integrate task-specific AI agents by 2026, up from less than 5% today.

Cyber Risk Still #1: Why AI Is Raising the Stakes - and the Opportunities

If you’re wondering what keeps business leaders up at night, the latest Aon Global Risk Management Survey has a clear answer: cyber attacks and data breaches. Once again, they top the list as the risk to organizations worldwide — and the problem isn’t getting any smaller. In fact, Aon’s Cyber Risk Report shows incidents jumped 22% in 2025 alone.

Securing AI agent access to credentials: the making of 1Password Secure Agentic Autofill

Enabling AI agents to securely use credentials in a browser is a challenging problem to solve. In this video, 1Password Head of Ecosystems and Partnerships Dennis Kromhout van der Meer discusses these challenges and the steps 1Password took to ensure that agents and LLMs never have access to your credentials when using Secure Remote Autofill.

Artificial Intelligence in Business: Value, Risk, and How to Put It to Work Safely

Leaders do not lack information; they lack the right signal at the right time, presented in a way they can trust. That is the promise of artificial intelligence in business, and also the source of its headaches. Used well, AI turns scattered activity into timely visibility. Used carelessly, it creates security questions, unpredictable outputs, and nervous legal teams. This guide lays out where AI reliably adds value inside a company, the security decisions that matter most, and a practical path to pilot, measure, and scale without drama.

How Exabeam Detects LLM Abuse for Google Cloud Model Armor

In this demo, see how the Exabeam New-Scale Security Operations Platform integrates with Google Cloud Model Armor to detect and stop abuse of large language models (LLMs). You’ll learn how Exabeam: Monitors AI activity for suspicious or malicious behavior Uses advanced analytics to spot LLM misuse in real time Helps security teams enforce responsible AI use policies Watch how Exabeam and Google Cloud work together to provide stronger visibility, detection, and protection against emerging threats targeting LLMs.

WP.29 and Beyond: Global Trends in Automotive IoT Cybersecurity 2025

The automotive industry is undergoing a historic transformation. As vehicles become increasingly connected, autonomous, and software-defined—including the rise of connected cars, autonomous vehicles, and advanced driver assistance systems—cybersecurity has shifted from a technical afterthought to a regulatory requirement. At the heart of this transformation lies UN Regulation No.