标签：#EVs

Polestar moved some of its production to the US, but it may be locked out from selling its cars here soon.

The Department of Commerce declined to give the Chinese-owned automaker a special authorization to keep selling EVs in the U.S.

The Amble One is a street-legal $25,000 electric buggy designed for luxury resorts—but a car is also coming.

Amazon-owned Zoox has introduced its new autonomous vehicle meant for for large-scale production.

It has 205 miles of bare-bones range.

According to Automotive News, the cult-favorite Honda Element could return in 2029 as a small hybrid SUV.

Victim's family files wrongful death suit following Tesla crash in Texas.

The safety board, known for its thorough investigations, is probing the crash alongside the National Highway Traffic Safety Administration.

The Jeff Bezos-backed startup finally revealed more pricing details for its debut EV, including a $29,950 starting price for the SUV variant, and boosted the base range to 205 miles.

Launching with better specs than expected, the no-frills Bezos-backed electric pickup looks set to take on Ford’s Maverick—and be an EV truck you can afford and fix yourself.

Many cybersecurity professionals have been following Anthropic's announcement about the release of Claude Code Security on Friday. This created the beginning of a panic on the cybersecurity stock market. It also raised a lot of questions from domain experts, investors and security enthusiasts. Anthropic's announcement Anthropic introduces Claude Code Security: a tool that scans full codebases for security vulnerabilities, and can propose fixes directly in developer workflows. The tool leverages the latest foundational model's reasoning capabilities to provide a new experience. In a world where code will be generated only by AI, this can sound very much like code security is dead. Our vision 18 months ago, SAST, SCA, and IaC security were areas where we had real traction and could see ourselves expanding. But as AI tooling started reshaping how code gets written, we made a tough call. We decided to stop these initiatives and go all-in on what we believed would matter most: Protecting enterprises against leaked secrets and mismanaged NHIs . We envisioned a future where identity is crucial for the AI era security, with secrets enabling AIs to access data and take actions . After pioneering in secrets detection for years we witnessed how amplified the problem became as LLM emerged: more API keys for AI services, more code generated, often less secure, more agents requiring sophisticated access to a myriad of tools. All in all, this resulted in more secrets exposed. Yet the problem of overseeing and managing these secrets in a secure way remains unsolved. The paradigm shifted from human hardcoding secrets in their code, to AIs having wide access levels on several systems with humans, coders and non-coders, prompting them and creating new vulnerabilities. 18 months later, let me describe where we stand. What isn't changing Best in class secrets detection GitGuardian is the leader in secrets detection . We are the only solution able to scan large volume of data at scale (5

Risk-Based Prioritization: The Context Factor Most companies only look at the standard (Base) score of a CVE. However, a real risk model should consider 3 key parameters: Base Metrics : The intrinsic, unchanging characteristics of the vulnerability (e.g., is it exposed to the internet or not). Temporal Metrics : The current state of the threat (e.g., is there a ready-made exploit code that is actively used by hackers?). Environmental Metrics : The context of your infrastructure. The Golden Rule: A 7.5 (High) vulnerability on a company’s main website serving customers is a greater threat to the business and should be patched first than a 9.8 (Critical) vulnerability on an internal test server that has no access to the internet. Integrating CVE Data into the Security Lifecycle 3 key ways to incorporate CVE data into processes to improve your organization’s defenses: Asset-Aware Triage: The severity of a CVE is correlated with the importance of the asset (server, database) in which the vulnerability was found. Critical vulnerabilities are closed immediately, while vulnerabilities on the local computer are closed in a staggered manner. DevSecOps (Shift-Left) Integration: Don’t leave the scanning process until after the software is complete. By adding SCA (Software Composition Analysis) tools to your CI/CD pipeline, automatically stop the system when third-party libraries with dangerous CVEs are detected in the code being written and direct programmers to fix the error. Threat Intelligence Alignment: Compare your internal scan reports with live cyber-threat data (e.g., CISA’s catalog of actively exploited vulnerabilities). If you find that hacking groups or ransomware are actively exploiting any Medium CVE, immediately raise the status of that vulnerability to "Urgent". Conclusion Proper use of CVE and CVSS is a matter of context, not quantity. When you align universal vulnerability information with your business assets and the real-world threat landscape, you can focus

One woman is dead after a Tesla with "an automated driving assistance system" engaged crashed into a home in Katy, Texas.

Exatamente isso que você leu. Você não precisa ser um "expert" em determinada linguagem, ou ter: 5...

The company is also eliminating a production shift at its Arizona factory to align "production plans with anticipated demand."

Octopus and CATL are pledging to roll out a network of battery swap stations for heavy trucks across Europe.

Por muito tempo eu acreditei que programação e desenvolvimento de software como sinônimos. Na...

Car buyers love Android Auto. Automakers? Not so much.

GitLab 19.0 extends agentic AI beyond code generation into securing credentials, reviewing and merging changes, and scanning dependencies, adding a public beta Secrets Manager, a full merge request Developer Flow, usage-based GitLab Duo billing, and generally available SBOM dependency scanning. By Mark Silvester

Rivian is being sued over the self-driving capabilities of its early vehicles, or lack thereof.