Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Over the past week, multiple research teams have documented a renewed wave of voice-led social engineering (vishing) targeting identity providers and federated access. The entry point is not through malware or a zero-day exploit. The goal is simple. Persuade a user to help complete authentication in real time, then use that trusted session to move through SaaS applications and exfiltrate data. Security leaders already know the fundamentals. Multi-factor authentication (MFA) can be socially engineered.

If you operate containers on AWS you’re likely familiar with how vulnerabilities can accumulate. The majority of container images currently include least one critical security flaw. Frequently hidden within a base image or an overlooked dependency. This makes enhancing your AWS container security essential. It’s the method to prevent problems such, as data leaks, privilege abuse and supply-chain threats.

Deepfake technology is now a legitimate enterprise level threat. What started as a potentially disturbing AI capability has rapidly become a powerful tool for cybercriminals and one that exploits the most fundamental element of business communication: trust. A new report from Info‑Tech Research Group, Defend Against Deepfake Cyberattacks, breaks down how to understand and assess the risk deepfakes pose to organizations of all sizes.

A new survey by Vodafone Business found that more than 10% of companies in the UK would likely go out of business if they were hit by a major cyber incident, such as a ransomware attack, Infosecurity Magazine reports. Additionally, 71% of business leaders believe at least one of their employees would fall for a convincing phishing attack, and fewer than half (45%) of organizations have ensured that all of their employees have received basic cyber awareness training.

OpenClaw, an open-source AI agent previously known as Clawdbot and Moltbot, is a powerful personal assistant that can connect to LLMs, integrate with external APIs, and autonomously execute an array of tasks like sending email or controlling browsers. While OpenClaw carries the promise of AI-driven productivity, it also presents growing security concerns. OpenClaw is installed on local machines or dedicated servers.

As part of the JFrog Security Research team’s ongoing work, we continuously monitor newly published packages across multiple ecosystems for malicious activity. This effort serves the broader open source community through public research disclosures, and it directly impacts the detection capabilities behind JFrog Xray and JFrog Curation. Our scanning pipeline uses a broad set of indicators to detect suspicious behavior.

Traditional data loss prevention stops at detection. You get an alert. You know something happened. But you don't see the full picture. When a departing engineer downloads your entire codebase over the holiday break, you need more than a policy violation. You need to see what they were doing before that moment, where the data came from, and what happened after. You need context, timeline, and the ability to trace every action.

Security governance was never meant to be this manual. Yet for most security and third-party risk teams, governance work still means reviewing documents line by line, mapping controls by hand, interpreting evidence subjectively, and repeating the same processes across internal teams, subsidiaries, and vendors. These activities are critical, but they’re also slow, inconsistent, and difficult to scale. At Bitsight, we believe cybersecurity governance should move at the speed of risk.

In mid-January 2026, one of the most ironic cybersecurity incidents in recent memory occurred: eScan antivirus software from MicroWorld Technologies began delivering malware to its own users. Attackers gained unauthorized access to a regional update server and quietly replaced a legitimate update component with a malicious version. For roughly two hours on January 20, 2026, systems that attempted to fetch updates received a trojanized Reload.exe instead of a security patch.

Synthetic identity fraud used to be a specialty fraud job. Bad actors created synthetic identities by modifying personal information, combining multiple real identities, or combining real and fake information. But building up identities convincing enough to pass muster took time, research, and effort. As a result, you typically saw synthetic identity fraud when bad actors targeted organizations that could pay off in a significant way.