All news with #ai security tag

🔒 Google announced 11 startups selected for the inaugural Google for Startups Accelerator: AI for Cybersecurity in Latin America, a ten-week program delivering mentorship, product support and technical resources to scale AI-driven security solutions. Participants from Brazil, Chile, Colombia and Mexico focus on threat detection, compliance automation, fraud prevention and AI-agent protection. Google will pair products and experts with teams to accelerate regional cybersecurity impact.

🔒 This Cybersecurity Awareness Month, Google is rolling out a set of updates designed to protect users and developers from increasingly sophisticated scams and AI-driven threats. Announcements include a cohesive AI security strategy, six new anti‑scam measures, and Recovery Contacts to help people regain access to accounts via trusted friends or family. Google also introduced CodeMender, an AI agent that helps identify and remediate code security issues, alongside safer learning initiatives, a video on its defense‑in‑depth approach, and support for startups developing AI cybersecurity solutions in Latin America.

🔐 Google selected 11 startups for its inaugural Google for Startups Accelerator: AI for Cybersecurity in Latin America, a ten-week program that pairs founders with Google's technical resources, mentorship, and product support. The cohort — drawn from Brazil, Chile, Colombia, and Mexico — focuses on AI-driven solutions across threat detection, compliance automation, fraud prevention, and protections for AI agents. Participants will receive hands-on guidance to scale, validate, and deploy tools that reduce cyber risk across the region.

🔐 Google Cloud outlines a pragmatic framework to secure the emerging agentic web while preserving smooth user experiences. The post details how reCAPTCHA and Google Cloud combine agent and user identity, continuous behavior analysis, and AI-resistant mitigations such as mobile-device attestations. It highlights enabling safe agentic commerce via protocols like AP2 and tighter integration with cloud AI services.

🔒 Palo Alto Networks presents a unified, AI-driven approach to network security that consolidates browser, AI, and quantum defenses into the Strata Network Security Platform. New offerings include Prisma Browser, a SASE-native secure browser that blocks evasive attacks and brings LLM-augmented data classification to the endpoint, and Prisma AIRS 2.0, a full-lifecycle AI security platform. The company also outlines a pragmatic path to quantum-readiness and centralizes control with Strata Cloud Manager to simplify operations across hybrid environments.

🔒 Prisma AIRS 2.0 is a unified AI security platform that delivers end-to-end visibility, risk assessment and automated defenses across agents, models and development pipelines. It consolidates Protect AI capabilities to provide posture and runtime protections for AI agents, model scanning and API-first controls for MLOps. The platform also offers continuous, autonomous red teaming and a managed MCP Server to embed threat detection into workflows.

🔐 Microsoft has patched an indirect prompt injection vulnerability in Microsoft 365 Copilot that could have been exploited to exfiltrate recent enterprise emails via clickable Mermaid diagrams. Researcher Adam Logue demonstrated a multi-stage attack using Office documents containing hidden white-text instructions that caused Copilot to invoke an internal search-enterprise_emails tool. The assistant encoded retrieved emails into hex, embedded them in Mermaid output styled as a login button, and added an attacker-controlled hyperlink. Microsoft mitigated the risk by disabling interactive hyperlinks in Mermaid diagrams within Copilot chats.

⚠️ Researchers at LayerX Security disclosed a vulnerability in OpenAI’s Atlas browser that allows attackers to inject hidden instructions into a user’s ChatGPT memory via a CSRF-style flow. An attacker lures a logged-in user to a malicious page, leverages existing authentication, and taints the account-level memory so subsequent prompts can trigger malicious behavior. LayerX reported the issue to OpenAI and advised enterprises to restrict Atlas use and monitor AI-driven anomalies. Detection relies on behavioral indicators rather than traditional malware artifacts.

🚀 Amazon announces general availability of Amazon Nova Multimodal Embeddings, a unified embedding model designed for agentic RAG and semantic search across text, documents, images, video, and audio. The model handles inputs up to 8K tokens and video/audio segments up to 30 seconds, with segmentation for larger files and selectable embedding dimensions. Both synchronous and asynchronous APIs are supported to balance latency and throughput, and Nova is available in Amazon Bedrock in US East (N. Virginia).

⚠️ Researchers disclosed a CSRF-based vulnerability in ChatGPT Atlas that can inject malicious instructions into the assistant's persistent memory, potentially enabling arbitrary code execution, account takeover, or malware deployment. LayerX warns that corrupted memories persist across devices and sessions until manually deleted and that Atlas' anti-phishing defenses lag mainstream browsers. The flaw converts a convenience feature into a persistent attack vector that can be invoked during normal prompts.

🔒 Organizations worldwide are rapidly adopting AI across enterprises, delivering efficiency gains while introducing new security risks. Cybersecurity is at a turning point where AI fights AI, and today's phishing and deepfakes are precursors to autonomous, self‑optimizing AI threat actors that can plan, execute, and refine attacks with minimal human oversight. In September 2025, Check Point Research found that 1 in 54 GenAI prompts from enterprise networks posed a high risk of sensitive-data exposure, underscoring the urgent need to harden defenses and govern model use.

🛡️ In a short video for Cybersecurity Awareness Month, ESET Chief Security Evangelist Tony Anscombe explains how unsanctioned hardware and software — commonly called shadow IT — is creating security gaps in the remote and hybrid work era. He warns that growing employee use of generative AI further increases risk by exposing sensitive corporate data outside IT control. The video outlines practical steps IT teams can take to discover, govern and mitigate these hidden risks and points to related guidance on authentication, patching and ransomware resilience.

🔊 A recent study by researchers at the University of California, Irvine shows that very high-resolution optical sensors in some mice can detect minute desk vibrations produced by speech. The theoretical attack, labeled Mic-E-Mouse, requires mice with extremely high DPI (≈10,000+) and very high polling rates (≈4,000 Hz+) and malware to exfiltrate raw sensor frames. The raw signals are extremely noisy, but Wiener filtering and ML-based denoising allowed partial speech recovery under controlled lab conditions. Significant practical limitations — few qualifying models, controlled setups with speakers inches from the sensor, and steep drops in accuracy with common barriers — plus straightforward mitigations make the attack largely a proof of concept for now.

🔐 The Hacker News is promoting a free webinar that presents a practical framework to secure AI at scale while preserving speed of adoption. Organizers warn of a growing “quiet crisis”: rapid proliferation of unmanaged AI agents and identities that lack lifecycle controls. The session focuses on embedding security by design, governing AI agents that behave like users, and stopping credential sprawl and privilege abuse from Day One. It is aimed at engineers, architects, and CISOs seeking to move from reactive firefighting to proactive enablement.

📝 In many organizations the most consequential meeting attendee is the AI notetaker, whose summaries often become the authoritative meeting record. Participants can tailor their speech—using cue phrases, repetition, timing, and formulaic phrasing—to increase the chance their points appear in summaries, a behavior the author calls AI summarization optimization (AISO). These tactics mirror SEO-style optimization and exploit model tendencies to overweight early or summary-style content. Without governance and technical safeguards, summaries may misrepresent debate and confer an invisible advantage to those who game the system.

🤖 ChatGPT Atlas previews a future where AI becomes the primary interface for computing, letting users describe outcomes while the system orchestrates apps, data, and web services. Atlas demonstrates an context-aware assistant that understands a user’s digital life and can act on their behalf. This prototype points to productivity and accessibility gains, but it also creates new security, privacy, and governance challenges organizations must prepare for.

🔒 The Microsoft Digital Defense Report 2025 warns that cyber threats are accelerating in speed, scale, and sophistication, driven by AI and coordinated, cross-border operations. Attack windows have shrunk—compromises can occur within 48 hours in cloud containers—while AI-powered phishing and credential theft have grown markedly more effective. For CISOs this requires reframing security as a business enabler, prioritizing resilience, automation, and modern identity controls such as phishing-resistant MFA. The Secure Future Initiative provides practitioner-tested patterns to operationalize these priorities.

🛡️ Meta is rolling out new anti-scam features for Messenger and WhatsApp to help users detect and avoid fraud. Messenger testing includes AI-assisted scam detection that warns about suspicious new contacts and offers options to block, report, or submit messages for review. WhatsApp will display warnings about screen-sharing with unknown callers. These protections are enabled by default.

📱 The 2025 Verizon Mobile Security Index underscores growing danger as mobile devices account for the majority of global internet traffic and increasingly serve as primary attack surfaces. Check Point highlights the rise of AI-powered threats, persistent phishing, and human error that expand exposure. Organizations must rethink security architectures, strengthen endpoint controls, and adopt AI-aware defenses across apps, devices, and identities to reduce risk.

🔒 The average ransomware payment climbed to $3.6m in 2025, up from $2.5m in 2024, as attackers shift to fewer but more lucrative, targeted campaigns. ExtraHop's Global Threat Landscape Report found 70% of affected organisations paid ransoms, with healthcare and government incidents averaging nearly $7.5m each. The study highlights expanding risks from public cloud, third‑party integrations and generative AI, and urges organisations to map their attack surface, monitor internal traffic for lateral movement and prepare for AI‑enabled tactics.