3858 related articles

AI coding tools carry cloud data transmission risks, exposing quantitative trading strategies to leakage. This article analyzes AI tool data security and offers protection strategies.

Alibaba bans Claude Code over security risks, sparking tech community debate. An in-depth analysis of data leakage risks with cloud AI coding tools and the rise of local AI deployment.

OpenAI's flagship GPT-5.6 was delayed by national security review before winning U.S. government approval. An in-depth look at the Sol, Terra, and Luna model lineup and the emerging AI regulatory regime.

Microsoft SQL team's major updates: Azure SQL adds AI embeddings and dynamic data masking, Fabric SQL gets a Migration Assistant and Fabric Apps, SQL Server CU5 brings memory improvements, SSMS adds a SQL Formatter and Agent mode, and DP-800 certification is now open.

The new U.S. Executive Order requires government software suppliers to provide verifiable security assurances and mandates the SBOM system. This article analyzes the policy's core demands, real impact on suppliers, and the chain of challenges.

OpenAI launches the GPT-5.6 model family with cybersecurity as its biggest highlight. A deep analysis of GPT-5.6's differentiation, double-edged-sword effect, and enterprise strategy.

As Claude Code, Cursor, and Codex enter enterprises at scale, policy enforcement guardrails are becoming critical. A deep dive into AI coding tool security governance, cross-platform compliance, and enforcement mechanisms.

Nikon's first publicly sold Wireless-Free camera removes all wireless hardware at the chip level, delivering true air-gap data security. We break down the design logic, use cases, and the convenience vs. security trade-off.

A deep dive into Security Swarm's evaluation methodology: building test sets from real, recent vulnerabilities to avoid training data contamination and validate its ability to find more bugs at lower cost.

Visa's open-source Agentic security testbed Harness orchestrates threat modeling, vulnerability research, adversarial reproduction, and structured reporting into an auditable pipeline — not just a scan button.

Mozilla research reveals real attack chains targeting AI agent tools like Claude Code: malicious instructions hidden in DNS records bypass code scanning to steal API keys and cloud credentials.

AI coding assistants (Copilot/Cursor/Claude Code) frequently introduce vulnerable dependencies and hallucinate package names. This post analyzes an Agent-native CLI security tool and the shift-left security philosophy for AI-era supply chains.

OpenAI previews the GPT-5.6 series — Soul, Terra, and Luna — with a massive 1.5M-token context. In-depth analysis of coding leaps, the Fable 5 national security game, the heating U.S.-China AI race, and workflow economics.

Struggling with Windows pop-ups and rogue software? This in-depth review of Wukong Security reveals how AI antivirus breaks past traditional virus-database limits, blocking ads and bundleware in real time, plus a comparison of five repair shops.

In-depth analysis of Alibaba's comprehensive internal ban on Claude Code: from the hidden-marker controversy and Anthropic's regional-restriction stance to five core questions of enterprise AI coding tool security admission.

Alibaba reportedly plans to ban Claude Code internally over backdoor and data leakage concerns. A deep dive into enterprise AI security, supply chain trust issues, and what it takes for AI tools to win enterprise adoption.

Anthropic updates AI cybersecurity safeguards after U.S. government dialogue. New measures slightly raise false positive rates, with flagged requests downgraded to Opus 4.8 responses. Deep analysis of the security-usability balance in AI governance.

Explore how hardware-level AI security and Confidential Computing protect model weights, training data, and inference processes, building trusted execution environments without performance loss.

Explore how hardware-level AI security and Confidential Computing protect model weights, training data, and inference processes, building trusted execution environments without performance loss.

AI workspaces face cross-tenant session and cache leak risks that can expose sensitive enterprise data. This article analyzes multi-tenant isolation pitfalls, common architectural flaws, and actionable defenses.