All news with #ai security tag

🔒 Cybersecurity leaders report the mission to defend organizations is unchanged, but threats, technology and operating pressures are evolving rapidly. Five trends — shrinking or stagnating budgets, AI-enabled attacks, the rise of agentic AI, accelerating business speed, and heightened vendor M&A — are forcing changes in strategy. CISOs are simplifying tech stacks, increasing automation and outsourcing, and deploying AI for detection and response while wrestling with new authentication/authorization gaps. Vendor viability and consolidation now factor into resilience planning.

🔒 Laura Deaner, newly appointed CISO at the Depository Trust & Clearing Corporation (DTCC), explains how AI and machine learning are transforming threat detection and incident response. She cautions that quantum computing could break current encryption by 2030, urging immediate focus on post-quantum cryptography and comprehensive crypto inventories. Deaner also stresses that modern CISOs must combine curiosity with disciplined asset hygiene to lead security transformations effectively.

🔒 Security leaders are balancing safe AI adoption with operational gains and focusing on five practical use cases where AI can improve security outcomes. Organizations are connecting LLMs to internal telemetry via standards like MCP, using agents and models such as Claude, Gemini and GPT-4o to automate threat hunting, translate technical metrics for executives, assess vendor and internal risk, and streamline Tier‑1 SOC work. Early deployments report time savings, clearer executive reporting and reduced analyst fatigue, but require robust guardrails, validation and feedback loops to ensure accuracy and trust.

🔒 An AI-integrated browser embeds large multimodal models into standard web browsers, allowing agents to view pages and perform actions—opening links, filling forms, downloading files—directly on a user’s device. This enables faster, context-aware automation and access to subscription or blocked content, but raises substantial privacy and security risks, including data exfiltration, prompt-injection and malware delivery. Users should demand features like per-site AI controls, choice of local models, explicit confirmation for sensitive actions, and OS-level file restrictions, though no browser currently implements all these protections.

🚀 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.