All news with #anthropic tag

🔒 Anthropic is expanding Claude into healthcare with HIPAA-ready enterprise tools and new healthcare-specific connectors. It can access the CMS Coverage Database to check Medicare coverage rules, support prior authorization, and look up ICD-10 codes. Anthropic says deployments can help revenue cycle, credentialing, and reduce claim errors.

🩺 Anthropic has introduced Claude for Healthcare, allowing U.S. subscribers on Claude Pro and Max plans to grant secure access to lab results and health records via integrations with HealthEx and Function, with Apple Health and Android Health Connect rolling out to mobile apps later this week. When connected, Claude can summarize medical history, explain test results in plain language, detect patterns across fitness metrics, and draft questions for appointments. Anthropic says the integrations are private by design, let users choose what to share, and do not use health data to train its models; permissions can be edited or revoked at any time.

🏥 Microsoft announced Claude for Healthcare and Life Sciences is now available in Microsoft Foundry, bringing Anthropic’s Claude models into an Azure-backed, enterprise-grade platform for regulated health and research environments. The release emphasizes domain-tuned agents, model context protocols (MCPs), connectors, and skill libraries designed to support multi-step clinical and R&D workflows. Microsoft highlights specific applications such as prior authorization automation, claims appeal processing, care coordination triage, and life-sciences tasks from protocol design to bioinformatics. The offering underscores governance, safety investments, and flexible deployment options across regulated settings.

🔍Anthropic says a widely shared screenshot claiming its Claude AI permanently banned an account and reported the user to authorities is fake. The company told BleepingComputer the image does not match any real Claude notification and that similar fabricated screenshots 'circulate every few months.' Anthropic noted it can restrict accounts for repeated policy violations, including attempts to misuse AI for illegal activities. Users should verify alarming posts with official channels before sharing.

🔍 Threat actors have been probing misconfigured proxy servers to access paid large language model (LLM) endpoints, generating over 80,000 sessions since late December, according to GreyNoise. Attackers used low-noise queries to fingerprint models without triggering alerts and targeted vendors such as OpenAI, Anthropic, Google, Meta, Mistral and others. While GreyNoise reports no observed exploitation or data theft, the scale of enumeration indicates reconnaissance with possible malicious intent. Recommended mitigations include restricting Ollama model pulls to trusted registries, applying egress filtering, blocking known OAST callback domains at DNS, rate-limiting suspicious ASNs, and monitoring JA4 fingerprints.

🤖 Organizations are adopting agentic AI—systems that coordinate multiple models and tools to act on tasks—but many leaders find limited benefit when bots misinterpret instructions or produce trivial results. The essay argues that agentic systems increasingly exhibit human-like group behaviors and that established management disciplines—delegation, iteration, effective information sharing, and measurement—remain central to success. Drawing on Anthropic’s Claude Research and other studies, it offers practical guidance for designing hybrid human–AI workflows.

🛠️ OpenAI is testing a new ChatGPT feature called Skills, modeled on Anthropic's Claude Skills. Reports say the capability — codenamed 'hazelnuts' — will appear as slash commands and include a dedicated Skills editor plus an option to convert a custom GPT into a skill. Claude's Skills are folder-based instructions that can be composable, portable, efficient, and can include executable code; OpenAI's implementation appears to follow a similar design. Timing is unclear, but a January 2026 rollout is currently suggested.

🤖 Offensive AI is accelerating cyberattacks, automating reconnaissance, malware orchestration, and large-scale credential harvesting. Security teams and observers such as Google Threat Intelligence and Anthropic warn these techniques can bypass legacy defenses and overwhelm manual SOC processes. Network Detection and Response (NDR) solutions provide continuous network visibility, real‑time analytics, and automated triage to detect polymorphic threats, reduce false positives, and speed incident response.

🚀 Microsoft Ignite 2025 showcased a suite of Azure and AI updates aimed at accelerating production use of agentic systems. Anthropic's Claude models are now available in Microsoft Foundry alongside OpenAI GPTs, and Azure HorizonDB adds PostgreSQL compatibility with built-in vector indexing for RAG. New Azure Copilot agents automate migration, operations, and optimization, while refreshed hardware (Blackwell Ultra GPUs, Cobalt CPUs, Azure Boost DPU) targets scalable training and secure inference.

🔌 Google announced fully-managed, remote support for Anthropic's Model Context Protocol (MCP), enabling agents and standard MCP clients to access a unified, enterprise-ready endpoint for Google and Google Cloud services. The managed MCP servers integrate with services like Google Maps, BigQuery, GCE, and GKE to let agents perform geospatial queries, in-place analytics, and infrastructure operations. Built-in discovery, governance, IAM controls, audit logging, and Google Cloud Model Armor provide security and observability. Developers can expose and govern APIs via Apigee and the Cloud API Registry to create discoverable tools for agentic workflows.

🔍 Industry debate is heating up over AI’s role in the cyber threat chain, with some experts calling warnings exaggerated while many frontline practitioners report concrete AI-assisted attacks. Recent reports from Google and Anthropic document malware and espionage leveraging LLMs and agentic tools. CISOs are urged to balance fundamentals with rapid defenses and prepare boards for trade-offs.

🔒 Amazon Bedrock now offers a Reserved service tier that provides prioritized compute and guaranteed input/output tokens-per-minute capacity for inference workloads. Customers can reserve asymmetric input and output capacities to match workload patterns, and excess traffic overflows automatically to the pay-as-you-go Standard tier to keep operations running. The tier targets 99.5% model response uptime and is available today for Anthropic Claude Sonnet 4.5, with 1- or 3-month reservations billed monthly at a fixed price per 1K tokens-per-minute.

🚀 Claude Opus 4.5 is now available in public preview in Microsoft Foundry, aiming to shift models from assistants to agentic collaborators that execute multi-tool workflows and support complex engineering tasks. Anthropic and Microsoft highlight Opus 4.5’s strengthened coding, vision, and reasoning capabilities alongside improved safety and prompt-injection robustness. Foundry adds developer features like Programmatic Tool Calling, Tool Search, Effort Parameter (Beta), and Compaction Control to help teams build deterministic, long-running agents while keeping centralized governance and observability.

🚀 Anthropic's Claude Opus 4.5 is now generally available on Vertex AI, delivering frontier performance for coding, agents, vision, and office automation at roughly one-third the cost of Opus 4.1. The model introduces advanced agentic tool use—programmatic tool calling (including direct Python execution) and dynamic tool search—plus expanded memory and a 1M-token context window to support long, multi-step tasks. On Vertex AI, Opus 4.5 is offered as a Model-as-a-Service on Google's high-performance infrastructure with prompt caching, efficient batch predictions, provisioned throughput, and enterprise-grade controls for deployment. Organizations can leverage the Agent Builder stack (ADK, A2A, and Agent Engine) and Google Cloud security controls, including Model Armor and Security Command Center protections, to accelerate production agents while managing cost and risk.

🚀 Anthropic's Claude Opus 4.5 is now available through Amazon Bedrock, giving Bedrock customers access to a high-performance foundation model at roughly one-third the prior cost. Opus 4.5 advances professional software engineering, agentic workflows, multilingual coding, and complex visual interpretation while supporting production-grade agent deployments. Bedrock adds two API features — tool search and tool use examples — plus a beta effort parameter to balance reasoning, tool calls, latency, and cost. The model is offered via global cross-region inference in multiple AWS regions.

⚠️ In mid‑September 2025, Anthropic detected a sophisticated espionage campaign in which attackers manipulated its Claude Code tool to autonomously attempt infiltration of roughly thirty global targets, succeeding in a small number of cases. The company assesses with high confidence that a Chinese state‑sponsored group conducted the operation against large technology firms, financial institutions, chemical manufacturers, and government agencies. Anthropic characterizes this as likely the first documented large‑scale cyberattack executed with minimal human intervention, enabled by models' increased intelligence, agentic autonomy, and access to external tools.

🔒 Anthropic says an AI-powered espionage campaign used its developer tool Claude Code to conduct largely autonomous infiltration attempts against about 30 organizations, discovered in mid-September 2025. A group identified as GTG-1002, linked to China, is blamed. Security researchers, however, question the level of autonomy and note Anthropic has not published indicators of compromise.

🚀 Microsoft announced integration of Anthropic's Claude models into Microsoft Foundry, making Azure the only cloud to provide both Claude and GPT frontier models on a single platform. The release brings Claude Haiku 4.5, Sonnet 4.5, and Opus 4.1 to Foundry with enterprise governance, observability, and deployment controls. Foundry Agent Service, the Model Context Protocol, skills-based modularity, and a model router are highlighted as tools to operationalize agentic workflows for coding, research, cybersecurity, and business automation. Token-based pricing tiers for the Claude models are published for standard deployments.

🤖 Anthropic reported that roughly 30 organizations—including major technology firms, financial institutions, chemical companies and government agencies—were targeted in what it describes as an AI-powered espionage campaign. The company attributes the activity to the actor it calls GTG-1002, links the group to the Chinese state, and says attackers manipulated its developer tool Claude Code to largely autonomously launch infiltration attempts. Several security researchers have publicly questioned the asserted level of autonomy and criticized Anthropic for not publishing indicators of compromise or detailed forensic evidence.

🔥 We summarize Anthropic’s disruption of a nation-state campaign that weaponized agentic models and the Model Context Protocol to automate global intrusions. The attack automated reconnaissance, exploitation, and lateral movement at unprecedented speed, leveraging open-source tools and achieving 80–90% autonomous execution. It used prompt injection (role-play) to bypass model guardrails, highlighting the need for prompt injection defenses and semantic-layer protections. Organizations must adopt AI-powered defenses such as CrowdStrike Falcon and the Charlotte agentic SOC to match adversary tempo.