All news with #ai security tag

🚀 GKE Inference Gateway and GKE Inference Quickstart are now generally available, bringing production-ready inferencing features built on AI Hypercomputer. New capabilities include prefix-aware load balancing, disaggregated serving, vLLM support on TPUs and Ironwood TPUs, and model streaming with Anywhere Cache to cut model load times. These features target faster time-to-first-token and time-per-output-token, higher throughput, and lower inference costs, while Quickstart offers data-driven accelerator and configuration recommendations.

⚡ This post announces a reproducible recipe to deploy NVIDIA Dynamo for disaggregated LLM inference on Google Cloud’s AI Hypercomputer using Google Kubernetes Engine, vLLM, and A3 Ultra (H200) GPUs. The recipe separates prefill and decode phases across dedicated GPU pools to reduce contention and lower latency. It includes single-node and multi-node examples and step-by-step deployment actions. The repository provides configuration guidance and future plans for broader GPU and engine support.

🔁 AWS announced native anomaly detection enhancements for AWS IoT SiteWise, including automated model retraining, flexible promotion modes, and exposed model metrics. Retraining can be scheduled between 30 days and one year to keep models current with changing equipment conditions. Customers can choose automatic service-managed promotion or manual customer-managed promotion using exposed metrics such as precision, recall, and AUC. Multivariate detection is available in N. Virginia, Ireland, and Sydney.

🔒 AWS Labs published a Model Context Protocol (MCP) server for CloudTrail that enables AI assistants to perform security and compliance analysis via natural‑language queries. The server provides direct access to CloudTrail events and CloudTrail Lake, allowing searches of 90‑day management event histories and Trino SQL queries on Lake data spanning up to 10 years. By exposing these capabilities through a conversational interface, the MCP server removes the need for bespoke API integrations and streamlines investigation and compliance workflows. The component is available in regions that support CloudTrail LookupEvents or CloudTrail Lake and is available with code and documentation in the AWS Labs repository.

🤖 Fortinet has integrated its virtual AI assistant, FortiAI-Assist, into its web application security offerings, including appliance and virtual FortiWeb and the FortiAppSec Cloud WAAP service. The update also adds integrated client-side protection to monitor payment-page scripts for PCI DSS 4.0 compliance. These features aim to simplify operations, speed threat triage and remediation, and reduce false positives and analyst workload. FortiAppSec Cloud is available through major public cloud marketplaces.

🔐 AI adoption in the cloud is accelerating, reshaping workloads and expanding attack surfaces while introducing new risks such as prompt injection, model manipulation, and data exfiltration. Fortinet recommends a layered defense built into the Fortinet Security Fabric, combining zero trust, segmentation, web/API protection, and cloud-native posture controls to secure AI infrastructure. Complementing those controls, AI-driven operations and correlation — exemplified by Gemini 2.5 Pro integrations — filter noise, correlate cross-platform logs, and surface prioritized, actionable recommendations. Together these measures reduce mean time to detect and respond and help contain threats before they spread.

🤖 Microsoft is testing new AI actions in Windows 11 File Explorer that let users manipulate images and interact with files without opening them. Currently supported edits for JPG, JPEG, and PNG files include background removal, object erasure, background blur, and a reverse image search via Bing. Insiders on Canary Channel Build 27938 can access these tools from the right-click contextual menu. A new privacy control also shows which third-party apps have used Windows' generative AI models and lets users manage access.

🤖 Security leaders are cautiously adopting AI to improve security operations, threat hunting, reporting and vendor risk processes while maintaining strict guardrails. Teams are piloting custom integrations like Anthropic's MCP, vendor agents such as Gem, and developer toolchains including Microsoft Copilot to connect LLMs with telemetry and internal data sources. Early experiments show significant time savings—automating DLP context, producing near-complete STRIKE threat models, converting long executive reviews into concise narratives, and accelerating phishing triage—but practitioners emphasize validation, feedback loops and human oversight before broad production use.

🛡️ NYU researchers built a proof-of-concept LLM that can be embedded in a binary to synthesize and execute ransomware payloads dynamically, performing reconnaissance, generating polymorphic code and coordinating extortion with minimal human input. ESET detected traces and initially called it the first AI-powered ransomware before clarifying it was a lab prototype rather than an in-the-wild campaign. Experts including IST's Taylor Grossman say the work was predictable but remains controllable today. They advise reinforcing CIS and NIST controls and prioritizing basic cyber hygiene to mitigate such threats.

🔒 Investment in AI data centers is accelerating globally, creating not only rising energy demand and emissions but also an expanded surface of cyber threats. AI facilities rely on GPUs, ASICs and FPGAs, which introduce side-channel, memory-level and GPU-resident malware risks that differ from traditional CPU-focused threats. Organizations should require operators to implement supply-chain vetting, physical shielding (for example, Faraday cages), continuous model auditing and stronger personnel controls to reduce model exfiltration, poisoning and foreign infiltration.

🔒 Prisma SASE 4.0 is positioned as a unified, cloud-delivered security platform engineered for the AI era. It combines AI-powered threat protection, frictionless data security for structured and unstructured content, and unified intelligent operations to automate deployment and troubleshooting. New capabilities include browser-based postload inspection, an Advanced DNS Resolver with Precision AI, SaaS security posture monitoring for AI agents, and Autonomous Digital Experience Management to preserve performance and resilience.

⚠️ Anthropic reports that a threat actor used Claude Code to automate reconnaissance, credential harvesting, network intrusion, and targeted extortion across at least 17 organizations, including healthcare, emergency services, government, and religious institutions. The actor prioritized public exposure over classic ransomware encryption, demanding ransoms that in some cases exceeded $500,000. Anthropic also identified North Korean use of Claude for remote‑worker fraud and an actor who used the model to design and distribute multiple ransomware variants with advanced evasion and anti‑recovery features.

🔒 Cloudflare framed AI Week 2025 around products and controls to help organizations adopt AI while retaining safety and visibility. The company emphasized four core priorities: securing AI environments and workflows; protecting original content from misuse; enabling developers to build secure AI experiences; and applying AI to improve Cloudflare’s services. Key launches included AI Gateway, Infire, AI Crawl Control, expanded CASB scanning, and MCP Server Portals, with a continued focus on customer feedback and ongoing investment.

🔍 Employees are driving AI adoption from the ground up, often using unsanctioned tools and personal accounts that bypass corporate controls. Harmonic Security found that 45.4% of sensitive AI interactions come from personal email, underscoring a growing Shadow AI Economy. Rather than broad blocking, security and governance teams should prioritize continuous discovery and an AI asset inventory to apply role- and data-sensitive controls that protect sensitive workflows while enabling productivity.

🔒 Agentic AI is poised to transform workflows like software development, customer support, RPA, and employee assistance, but its autonomy raises new cybersecurity risks for CISOs. A 2024 Cisco Talos report and industry experts warn these systems can act without human oversight, chain benign actions into harmful sequences, or learn to evade detection. Lack of visibility fosters shadow AI, and third-party integrations and multi-agent setups widen supply-chain and data-exfiltration exposures. Organizations should adopt observability, governance, and secure-by-design practices before scaling agentic deployments.

🔒 CrowdStrike explains how widespread AI adoption expands the enterprise attack surface, exposing models, data pipelines, APIs, and autonomous agents to new adversary techniques. The post argues that legacy controls and fragmented tooling are insufficient and advocates for real-time, full‑stack protections. The Falcon platform is presented as a unified solution offering telemetry, lifecycle protection, GenAI-aware data loss prevention, and agent governance to detect, prevent, and remediate AI-related threats.

🔍 This spotlight report examines how AI is reshaping IT careers across roles—from developers and SOC analysts to helpdesk staff, I&O teams, enterprise architects, and CIOs. It identifies emerging functions and essential skills such as prompt engineering, model governance, and security-aware development. The report also offers practical steps to adapt learning paths, demonstrate capability, and align individual growth with organizational AI strategy.

🔍 Generative AI platforms such as ChatGPT, Gemini, Copilot, and Claude create new data‑exfiltration risks that can evade traditional endpoint and channel DLP products. Network‑based detection, exemplified by Fidelis NDR, restores visibility via URL‑based alerts, metadata auditing, and file‑upload inspection across monitored network paths. Organizations can tune real‑time alerts, retain searchable session metadata, and capture full packet context for forensics while acknowledging limits around unmanaged channels and asset‑level attribution.

🔐 At the Aspen US Cybersecurity Group Summer 2025 meeting, Wendi Whitmore urged urgent action to secure AI while defenders still retain a temporary advantage. Drawing on Unit 42 simulations that executed a full attack chain in as little as 25 minutes, she warned adversaries are evolving from automating old tactics to attacking the foundations of AI — targeting internal LLMs, training data and autonomous agents. Whitmore recommended adoption of a five-layer AI tech stack — Governance, Application, Infrastructure, Model and Data — combined with secure-by-design practices, strengthened identity and zero-trust controls, and investment in post-quantum cryptography to protect long-lived secrets and preserve resilience.

⚠ Check Point uncovered a global phishing campaign that delivered 115,000 fake invitations via Google Classroom to about 13,500 organizations worldwide within a single week. Attackers used seemingly legitimate classroom invites to present unrelated commercial offers and instructed recipients to continue contact via WhatsApp, shifting conversations off monitored email channels. Because many filters treat messages from Google services as trustworthy, these messages often bypass conventional protections. Experts advise staff training, adoption of AI-driven detection that evaluates context and intent, and extending phishing defenses beyond email to collaboration and messaging platforms.