Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Rethinking Security Posture Assessments

Security posture assessments are a foundational part of any security program. They’re how organizations take stock of their defenses, evaluate coverage, and identify gaps. But in practice, many posture assessments have become stuck in a pattern. They follow the same checklist, occur on a set routine, and result in a static document that often doesn’t translate into real change. The problem isn’t that posture assessments are irrelevant.

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.

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 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.

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.

AI Adoption Is Outpacing Governance: Conversations on Managing AI Risk

Executives everywhere are under pressure to deploy AI fast — but our recent roundtable on AI risk, hosted by TEISS, revealed a growing concern: AI adoption is outpacing governance, and organisations are taking on more risk than they realise. While most enterprises have mature technical controls, many are missing visibility into how AI is being used — and by whom.

AI-Generated Attacks: What are They and How to Avoid Them?

AI-generated attacks, such as social engineering, phishing, deepfakes, malicious GPTs, data poisoning, and more, are disrupting the current security landscape speedily. But there are ways to avoid them and strengthen our defences with miniOrange IAM solutions.

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.