Data integrity is critical in an era where data drives innovation and decision-making. The proliferation of data poisoning, a sneaky and frequently disregarded cyberthreat, puts information trustworthiness in serious danger.

Since our beginning, CyCognito has integrated AI techniques to power robust and accurate attack surface discovery and testing. And we’re also adding new capabilities all the time. In this post, we’ll share with you some of the tasks that CyCognito’s AI helps power or simplify, along with a primer of the various techniques we leverage.

When it comes to how employees get work done, personal devices are an ever-growing part of the equation. The 2023 Lookout State of Remote Work Security Report found that 92% of remote workers have performed work tasks on their personal mobile devices. While putting security controls on employer-owned devices is a no-brainer, the increasing overlap of personal with professional means that organizations need to think about how to secure employee-owned devices that are being used for work.

When you think of cybersecurity, your mind likely goes to external threat actors — malware, ransomware, spearphishing attacks, and other malicious activity. However, it’s crucial to note that 60% of data breaches are caused by insider threats, and a staggering 74% of organizations are at least moderately vulnerable to them. It’s not everybody else your organization needs to worry about; it’s your own people.

The rapid advancements in large language models (LLMs) have revolutionized how we interact with technology, powering various applications for different use cases. As the adoption of LLM-powered solutions continues to grow, so does the emergence of new and evolving security threats that aim to exploit these robust AI systems.

In this episode of Trust Issues, host David Puner interviews Eric Hussey, SVP, Chief Information Security Officer (CISO) at Finastra, a leading provider of financial software solutions and services. Hussey shares his insights on the evolving role of the CISO, the challenges of keeping up with new and evolving cybersecurity regulations, and the importance of balancing innovation with security in the FinTech space.

Observability, especially in the context of cloud-native applications, is important for several reasons. First and foremost is security. By design, cloud-native applications rely on multiple, dynamic, distributed, and highly ephemeral components or microservices, with each microservice operating and scaling independently to deliver the application functionality.

After speaking with customers, we renamed 1Password Teams and Business private vaults to employee vaults to reduce confusion between work and personal accounts. No functionality is changing – just the name.

As the UK cybersecurity sector prepares to meet at CyberUK next month, I have been reflecting on the conference’s theme–Securing an open and resilient digital future–and what might be the barriers to such a vision. One of the biggest challenges is doubtless the hefty legacy IT in the UK’s public sector.

Best-selling writer Maria Konnikova once wrote, “Fraud thrives in moments of great social change and transition.” These words ring truer than ever as additional aspects of business and everyday life move swiftly online. Whether you think about eCommerce, remote work, online banking, or digital government services, the opportunities for fraudsters continue to multiply. The online world currently creates such a fertile ground for fraudulent activity that U.S.