Google has unveiled CodeMender, a managed AI security agent designed to identify, validate, and remediate software vulnerabilities at machine speed. Announced in preview on July 22, 2023, the tool is available through the Gemini Enterprise Agent Platform and can also function as a core component of Google’s AI Threat Defense offering. This launch comes as […]

The post Google Unveils CodeMender AI Agent for Automated Vulnerability Detection and Remediation appeared first on GBHackers Security | #1 Globally Trusted Cyber Security News Platform.

ServiceNow's investment gives BusinessNext a strategic partner to expand its AI-powered banking software globally.

Anthropic has launched the Claude Security plugin for Claude Code in beta, enhancing its AI-assisted development platform with security scanning capabilities designed to identify vulnerabilities earlier in the software development lifecycle. The company stated that developers can scan code changes before committing them or initiate comprehensive security reviews across an entire codebase directly from the […]

The post Anthropic Launches Claude Security Plugin to Scan Codebases for Vulnerabilities Before Commit appeared first on GBHackers Security | #1 Globally Trusted Cyber Security News Platform.

The publishing platform has integrated Pangram to look for AI.

After IBM's stock crashed last week on warnings of poor mainframe sales, the CEO explained that AI wrecked corporate hardware budget, temporarily.

Google's cloud business is thriving, as companies adopting its AI and AI infrastructure services help the tech giant to report record profits.

When XPENG invited me to Munich for the global debut of the L03, I expected to see another electric SUV launch. Instead, I found myself looking at a company trying to redefine what a car can be, with AI-powered vehicles, robots, robotaxis, and flying machines all part of the same plan.

Samsung’s Galaxy S26 FE and Galaxy Tab S12 appeared in a Google app list, hinting at software prep before a possible late-summer launch.

The post Samsung Galaxy S26 FE and Galaxy Tab S12 Surface in Google App Ahead of Launch appeared first on TechRepublic.

China is considering tighter controls on AI models, training data, and chip designs, potentially limiting how Chinese technology reaches global users.

The post China Considers Export Controls on AI Models, Training Data and Chip Technology appeared first on TechRepublic.

Samsung's Galaxy Z Fold8 Ultra and Fold8 debut at Unpacked 2026 with new cameras, AI tools, prices, and clear trade-offs for buyers choosing a foldable.

The post Samsung Unveils Galaxy Z Fold8 Ultra and Fold8 at Unpacked 2026 appeared first on TechRepublic.

The episode has also intensified a broader debate in Washington over the influx of Chinese open models.

Ancient Slashdot reader alanw shares a post from the OSS Security mailing list, where sysadmin Jan Schaumann wonders what to do after the Linux kernel cranked out 432 CVEs in a little over 24 hours: "I understand the position that CVEs were always a flawed way to track or prioritize security changes... But this onslaught really shows it's not feasible to attempt to prioritize individual kernel changes. I'm not sure what to do here going forward." The Register reports: The nixCraft team speculated on social media that AI bug reports are a likely reason for all those kernel CVEs, which wouldn't be without precedent - Linus Torvalds himself said in May that the Linux kernel security mailing list had become "almost entirely unmanageable" due to AI-assisted bug hunting. Nonetheless, Torvalds has described AI as a useful tool for Linux development while still noting it can be a drag for maintainers, both from a workload standpoint and the fact "it keeps finding embarrassing bugs." [...] Unfortunately for Linux sysadmins, the position in which they find themselves in this current mess isn't one that's readily solved. CVEs might be a messy way to track and prioritize security updates, especially when hundreds of them are published over a short period, but without something better, it falls to IT and security teams to determine which vulnerabilities affect their systems and which kernel updates they need to deploy. Senior kernel maintainer Greg Kroah-Hartman replied to Jan's post, pushing back on the idea that the kernel's CVE volume is uniquely unmanageable. The kernel isn't special, he argues -- companies everywhere are finally realizing they need to re-evaluate how they update all of their systems and devices, something that's traditionally been "woefully ignored." On the "just always update" approach, Greg says that's precisely what the kernel community endorses: "This is what the kernel developer community recommends and supports. If you want support from us, do this." Can't manage it yourself? Pay a company for support, or "just use Debian or Yocto as their security practices are amazing." He points to Android as proof the approach scales, calling it "the largest deployment of software in the world" -- billions of devices kept updated "with one very-overworked developer guiding it all." As for reviewing every CVE individually, he notes this can be largely automated by intersecting the files a CVE touches with the files you actually build, which typically trims the relevant set "down to about 10% of the overall total" -- the approach enterprise distros already take for their customers. Panic-mode selective patching gets a blunt "Good luck with that!" -- regulations like the EU's Cyber Resilience Act are set to legislate that habit away ("rightfully so," in his view), and "your insurance company might wish to have a talk with you as well." Greg also warns the flood isn't over: "The number of llm-found issues is only on the rise right now, it's going to be a very long 18 months at the least to dig ourselves out of this mess, and people had BETTER be updating their systems all along the way if they expect to be secure in any way." As for the 432-CVE burst itself, he explains it was simply him catching up on a weeks-old, publicly visible review queue over the weekend -- delayed by "a perfect storm of 6 weeks straight of conferences and vacations" -- so it shouldn't have come as a surprise to anyone watching the public git repo.

Read more of this story at Slashdot.

Samsung’s Galaxy S26 FE and Galaxy Tab S12 appeared in a Google app list, hinting at software prep before a possible late-summer launch.

The post Samsung Galaxy S26 FE and Galaxy Tab S12 Surface in Google App Ahead of Launch appeared first on TechRepublic.

China is considering tighter controls on AI models, training data, and chip designs, potentially limiting how Chinese technology reaches global users.

The post China Considers Export Controls on AI Models, Training Data and Chip Technology appeared first on TechRepublic.

Samsung's Galaxy Z Fold8 Ultra and Fold8 debut at Unpacked 2026 with new cameras, AI tools, prices, and clear trade-offs for buyers choosing a foldable.

The post Samsung Unveils Galaxy Z Fold8 Ultra and Fold8 at Unpacked 2026 appeared first on TechRepublic.

XRP price has climbed nearly 4% to a two-week high of $1.1574 as Bitcoin’s return above $65,000, whale accumulation and fresh ETF inflows have supported its latest recovery. According to data from crypto.news, XRP (XRP) price was trading near $1.14…

Bitcoin Magazine

Benchmark Raises Hut 8 Price Target After Bitcoin Miner Signs $9.8 Billion AI Data Center Deal

Investment bank Benchmark has raised its price target on Bitcoin miner Hut 8 following news that the company had signed a second 15-year lease ​worth $9.8 billion for its AI data center.

Equity research analyst Mark Palmer reiterated his “buy” rating on the Toronto- and Nasdaq-listed miner in a note Wednesday, raising its price target to $195, up from $165 — an 80% upside from Hut 8’s current share price of nearly $110 a pop. 

Palmer argued that the deal validates Hut 8’s “power-first” approach to building out AI infrastructure. 

Hut 8 announced Monday that it had signed a second 15-year lease for 352 megawatts of IT capacity at its Beacon Point campus in Nueces County, Texas — doubling the site’s tenant to 704 MW of contracted capacity and fully commercializing the campus against its 1,000 MW of utility capacity. Hut 8 shares climbed over 10% on the news, closing near $101 after peaking above $106.

Palmer estimates the new Beacon Point lease alone could contribute roughly $655 million a year in net operating income once stabilized, pushing the campus’s total contract value as high as $50.2 billion if renewal options are exercised.

Hut 8 is among a growing list of publicly traded Bitcoin miners pivoting toward AI and high-performance computing as mining margins get squeezed by a falling Bitcoin price and rising difficulty. 

The company struck a Google-backed deal in December with Anthropic and Fluidstack to build out as much as 2.3 gigawatts of AI data center capacity in the U.S.

Hut 8’s mining ventures

Rivals including Terawulf, IREN, and Cipher Mining have signed similar multi-year HPC contracts with Google and Microsoft, while Bitfarms said last year it would wind down its mining operations entirely to focus on high-performance computing. 

Hut 8, by contrast, has kept its mining business running through its majority stake in American Bitcoin, the mining venture backed by Eric Trump and Donald Trump Jr.

Hut 8 is scheduled to report second-quarter earnings on August 4.

This post Benchmark Raises Hut 8 Price Target After Bitcoin Miner Signs $9.8 Billion AI Data Center Deal first appeared on Bitcoin Magazine and is written by Mathew Di Salvo.

Bitcoin Magazine

Lightning Labs Launches Wavelength: “Bitcoin on Easy Mode” for Developers and Autonomous Agents

Lightning Labs, the company developing core Lightning Network software including Lnd, Loop, and Taproot Assets, has released the alpha version of Wavelength. The toolkit enables developers and AI agents to add self-custodial Bitcoin payments to applications through a simple non-custodial API, without running nodes, managing channels, or sourcing liquidity.

In a July 21, 2026 blog post, Lightning Labs described Wavelength as “Bitcoin on Easy Mode for Agents and Humans.” The company stated that the Lightning Network already delivers instant, global, low-fee payments under user control, but previously required infrastructure most builders preferred not to operate. Wavelength closes that gap by turning the hard parts of Bitcoin and Lightning integration into a handful of API calls.

High-Level Overview

Wavelength embeds a self-custodial wallet that runs inside web or mobile apps (via WebAssembly or compiled binaries) or as a standalone client. Users control their own keys on-device. The system supports on-chain Bitcoin, Lightning payments via atomic swaps, and an Ark-like settlement layer for fast, low-cost off-chain transfers that can settle in batches to the blockchain. Every off-chain payment uses a standard BOLT 11 invoice, so the wallet interoperates with the existing Lightning Network from the first integration.

Lightning payments route through Loop for deep, reliable liquidity. A coordination service settles transfers between users but never takes unilateral control of funds. According to the announcement, users can always perform a unilateral exit to on-chain Bitcoin at any time via an explicit exit command, without needing cooperation, the Wavelength SDK is open source.

The same Wavelength API is exposed to AI agents as typed tool calls through the Model Context Protocol (MCP). Agents can hold balances and pay for API calls, data feeds, or other agent services in fractions of a cent. Wallet creation and unlocking designed to remain outside the agent channel so seeds and passwords are not exposed to the model. This pairs with L402, Lightning Labs’ protocol for machine-native authentication and per-request Lightning payments.

Core commands cover the full lifecycle: create/unlock, balance, recv (for addresses or invoices), send, activity, and exit. Integration options include the embedded SDK, a gRPC/REST API, browser WASM package, and an MCP server. Documentation is structured for both human developers and agents, including llms.txt indexes and agent onboarding guidance.

Availability and Roadmap

Wavelength is available immediately on Signet and testnet. Mainnet access is invitation-only; interested parties can request it after installing the toolkit. Bitcoin is supported at launch. Stablecoin support is planned via Taproot Assets so the same API surface can handle both. Future work includes deeper mobile embedding and optional direct Lightning channel support using Lnd.

Lightning Labs noted in its announcement that during the closed alpha, Lightning transactions carry a minimal 1 basis point service fee (plus standard network routing fees), with ordinary Bitcoin network fees applying for on-chain activity. Pricing may evolve.

On X, Lightning Labs summarized the release: “Announcing Wavelength, the easiest way to integrate bitcoin for agents and humans. With a simple non-custodial API, anyone can integrate Lightning into their app and get instant, high volume, low fee transactions. Machines can pay machines. Humans can pay humans. Anywhere.” A follow-up post directed builders to a form for early mainnet access.

The release positions Wavelength as infrastructure that lowers the barrier for application developers, “vibe coders,” and autonomous agents to offer self-custodial Bitcoin payments by default rather than as a specialist feature. Full documentation, quickstarts, and the open-source repository are available at wavelength.lightning.engineering and the linked GitHub project.

This post Lightning Labs Launches Wavelength: “Bitcoin on Easy Mode” for Developers and Autonomous Agents first appeared on Bitcoin Magazine and is written by Juan Galt.

Samsung’s $1,199 Galaxy Z Flip8 adds a thinner design, expanded FlexWindow tools, and new AI controls while retaining the same battery and rear cameras.

The post Samsung Galaxy Z Flip8 Launches at $1,199 With Thinner Design appeared first on TechRepublic.

Threat actors are using a new technique called “phantom squatting” to trick AI tools into directing users to phishing sites, according to researchers at Palo Alto Networks’ Unit 42.

Since AI models frequently hallucinate phony information, they sometimes point users to websites that don’t exist. Threat actors are now registering these AI-hallucinated domains and using them to host phishing sites.