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 Modern vehicles are increasingly defined by software. Features that once required a visit to a dealership can now be added, repaired or modified remotely through over-the-air updates. This technology allows manufacturers to transmit software, firmware, security patches, bug fixes and other data directly to connected vehicles. Over-the-air technology can reduce the need for physical recalls and routine service appointments. It can also help manufacturers address software problems more quickly. Tesla helped popularize the approach when it began delivering OTA updates to Model S vehicles in 2012, and the technology has since spread across the automotive industry. The convenience is substantial. So are the cybersecurity questions. A recent CNBC report highlighted concerns from cybersecurity and national-security analysts who say the growing use of OTA technology expands the potential attack surface of connected vehicles. Their concerns include unauthorized access, exposure of personal...

 Anthropic’s latest move to expand information-sharing around its advanced cybersecurity AI model, Mythos, highlights a major shift underway in cyber defense: organizations are beginning to recognize that speed, automation, and collaboration are now essential to survival. According to a recent Reuters report, Anthropic will now allow approved partners participating in “Project Glasswing” to share cybersecurity findings, tools, and defensive insights discovered using the company’s powerful Mythos AI system. The decision represents an important evolution in how cybersecurity intelligence is handled. Instead of isolating threat discoveries within a small circle of organizations, Anthropic is enabling broader responsible disclosure across industry groups, regulators, government agencies, open-source communities, and other defenders. That matters because modern cyber threats are moving faster than traditional response models can handle. At the same time, it reinforces a growing real...

 A new class of artificial intelligence is quietly reshaping cybersecurity — not incrementally, but exponentially. Recent evaluations by the AI Security Institute of Anthropic’s Claude Mythos Preview reveal a clear shift: AI systems are no longer just assisting with security tasks — they are beginning to autonomously execute them at a level that rivals, and in some cases exceeds, human experts. From Tools to Autonomous Operators For years, cybersecurity AI has functioned as a support layer — scanning for vulnerabilities, flagging anomalies, and assisting analysts. That line is now blurring. According to AISI’s evaluation, Claude Mythos Preview demonstrated the ability to: Discover and exploit vulnerabilities autonomously Execute multi-step cyberattack sequences Chain together complex actions across systems These are not isolated capabilities. They represent the transition from AI as a tool to AI as an operator . In controlled testing environments, Mythos successful...

 In today’s threat environment, ransomware and other cyberattacks can bring critical business operations to a grinding halt. Organizations must have a disaster response strategy that minimizes downtime, preserves data, and restores secure operations rapidly. Traditional manual rebuilds and reactive troubleshooting aren’t sufficient against modern ransomware — a coordinated, automated approach to endpoint disaster recovery is essential. This thought leadership piece explores how enterprises should prepare for endpoint disasters , common pitfalls to avoid in planning and testing, and the role of automated recovery tools like Swimage in rapidly restoring systems without data loss. Why Endpoint Disaster Response Planning Matters Ransomware events have grown sharply more costly and disruptive. Without a quick and reliable way to recover infected or disabled endpoints, organizations may face: Massive operational disruptions Lost or encrypted data Decisions between paying ran...

  Endpoint automation has moved from a “nice‑to‑have” to a strategic necessity, acting as a true force multiplier that lets lean IT teams deliver enterprise‑grade recovery and resilience without scaling headcount linearly. When automation spans the entire endpoint lifecycle—provisioning, recovery, compliance, and self‑healing—organizations can confidently manage anywhere from a few hundred to tens of thousands of devices with the same small team. ​ From Manual Firefighting to Automated Recovery In traditional environments, endpoint recovery is dominated by manual work: technicians imaging devices, reinstalling applications, restoring data, and troubleshooting unique edge cases one by one. As environments grow, each new endpoint adds incremental support overhead, forcing organizations to expand helpdesk staff just to keep up with break/fix and rebuild demand. ​ End‑to‑end automation changes this equation by codifying recovery as a repeatable workflow rather than a bespoke project. W...