An attacker exploited KelpDAO's cross-chain bridge on April 18, stealing 116,500 restaked ETH worth roughly $292 million. The breach triggered more than $13 billion in DeFi TVL outflows within 48 hours, hitting Aave, Compound, Morpho, and at least 9 other protocols.
On March 28th, 50.1 percent of the traffic the company detected used IPv6, up from 46.33 percent a year earlier. Google's data records plenty of days over the last year when IPv6 carried over 49.5 percent of traffic, and a slow climb towards greater prevalence of traffic using the protocol.
AI Armor provides dynamic runtime security and relies on a central policy engine in the Universal Management Suite (UMS) to meet compliance requirements, ensuring that organizations can manage their security effectively.
A future-proof IT infrastructure is often positioned as a universal solution that can withstand any change. However, such a solution does not exist. Nevertheless, future-proofing is an important concept for IT leaders navigating continuous technological developments and security risks, all while ensuring that daily business operations continue. The challenge is finding a balance between reactive problem solving and proactive planning, because overlooking a change can cost your organization. So, how do you successfully prepare for the future without that one-size-fits-all solution?
There is a growing emphasis on database compliance today due to the stricter enforcement of compliance rules and regulations to safeguard user privacy. For example, GDPR fines can reach £17.5 million or 4% of annual global turnover (the higher of the two applies). Besides the direct monetary implications, companies also need to prioritize compliance to protect their brand reputation and achieve growth.
Baron traces the origin story back to his time building high-scale systems at Instana (which exited to IBM in 2020), where the reality of "always-on" platforms made one thing obvious: the tooling we rely on is often too low-level, too rigid, and too disconnected from real-world use cases. That gap has only widened as environments have exploded in complexity-more cloud providers, more managed services, more hybrid setups, more internal APIs, and "gillions" of tools stitched together into brittle workflows.
Originally developed by Nest (before the Google acquisition), Thread has existed since 2011. Devised as a power-efficient mesh networking technology for internet-of-things (IoT) products, Thread gathered pace after the 2014 formation of the Thread Group, which develops the technology and drives its adoption as an industry standard. Founding members like ARM, Samsung, Google, and Qualcomm have been joined by Apple, Amazon, and many other big companies over the years.
Unverified and low quality data generated by artificial intelligence (AI) models - often known as AI slop - is forcing more security leaders to look to zero-trust models for data governance, with 50% of organisations likely to start adopting such policies by 2028, according to Gartner's seers. Currently, large language models (LLMs) are typically trained on data scraped - with or without permission - from the world wide web and other sources including books, research papers, and code repositories.
The Indurex platform ingests and correlates data from multiple sources across the cyber-physical stack, with a strong focus on industrial historians, instrumentation and asset management systems (IAMS), alarm management, and OT network and endpoint data. The platform, which can be integrated with third-party OT security solutions, is designed to unify cyber, process, and safety context into a single operational view, using adaptive risk scoring to highlight issues and prioritize response actions.
Retail point-of-sale systems today offer a wide range of options for peripherals and hardware. Their technical specifications play a major role in selection, and big retailers often choose multiple vendors to reduce a single point of failure. This gives them an advantage to negotiate price or support as well. Technically, these peripherals also require updating with new models and may have new feature sets. This necessitates the redevelopment of point-of-sale applications, increasing development costs.
Siemens has published eight new advisories. The company has released patches and mitigations for high-severity issues in Desigo CC, Sentron Powermanager, Simcenter Femap and Nastran, NX, Sinec NMS, Solid Edge, and Polarion products. A medium-severity flaw has been found in Siveillance Video Management Servers. Exploitation of the vulnerabilities can lead to unauthorized access, XSS, DoS, code execution, and privilege escalation.
We had already heard of 'next-gen SIEM'. This is a system that replaces traditional rule-based logging with automatic recognition of complex threats. It was designed to reduce noise on the line for SecOps personnel by reducing the number of false positives. However, according to Abstract CEO and co-founder Colby DeRodeff, this was only the beginning. He believes that a real 'reset' is needed, in the form of an 'AI-Gen Composable SIEM'.
If platforms and solutions are not developed and put in place, according to "Quantum Threat: The Trillion-Dollar Security Race is On," there will be no protection against the breaking of public-key encryption in use today. This is ominously referred to as "Q-day." Q-day is coming. The report maintains quantum computers will be able to "perform certain calculations, particularly those required to break today's complex encryption standards, at speeds that are orders of magnitude faster than any supercomputer imaginable."