Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

SaaS companies face a 20% yearly likelihood of a significant DDoS attack, according to the Indusface State of Application Security H1 2025, underlining the risks to uninterrupted operations. Even brief downtime can have severe consequences. On average, a DDoS attack costs businesses$6,130 per minute in downtime losses. For SaaS platforms, one attack hits every tenant at once, multiplying the SLA breaches, churn risk, and reputational damage across the entire customer base simultaneously.

Enabling seamless user access without compromising security is a complex challenge. Gaurav Sheth, Cynthia Yang and Sorabh Chopra are helping to change that. As part of Kroll’s recently established team dedicated to Digital Identity, their focus is on transforming fragmented administration, manual processes and siloed identity solutions into mature programs.

AI usage is invisible to most security tools. Network monitoring sees HTTPS traffic. Endpoint detection sees browser activity. CASB platforms see cloud application access. None of them sees what employees type into AI prompts or upload to AI services through web forms. This invisibility creates a problem. Organizations can’t prove they didn’t expose customer data through AI because they can’t see the data that employees shared.

Today we're releasing the 1Password Device Trust MCP Server, an open-source server that connects your Device Trust data directly to the AI tools your team already uses, like Claude or ChatGPT. It's available now for all customers on Device Trust Connect.

Most data security posture management (DSPM) evaluations start with a deceptively simple question: where does our sensitive data live? There are many tools that answer that question. However, the number of tools that go further by tracking how data moves, enforcing controls when data leaves controlled environments, and closing the gap between visibility and action are far more limited.

Most attacks do not start with malware. They mostly start with access. Attackers find new ways to steal credentials, which they then use to gain unauthorized access. They also use legitimate tools to gain access to systems without triggering alerts. To repeat their actions across environments, they make use of automation. Modern attacks, such as phishing, ransomware, zero-day exploits, and insider threats, target both systems and users.

Google Tag Manager is one of the most trusted tools on the modern web. Marketing teams rely on it daily. Ecommerce teams use it to move quickly. And most security teams rarely question it because it sits under the umbrella of a globally trusted platform. That’s exactly why attackers continue finding ways to abuse it.