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All news with #ai security tag

903 articles · page 17 of 46

Commercial LLMs Used in Attack on Mexican Water Utility

⚠ OpenAI and Anthropic models were used by attackers in a cyber-attack that targeted a municipal water and drainage utility in the Monterrey metropolitan area, Dragos reports. The incident, which unfolded between December 2025 and February 2026, involved roughly 350 artifacts, many of them AI-generated malicious scripts used as offensive tooling. According to the report, Anthropic's Claude served as the primary technical executor—handling prompt-and-response interactions, intrusion planning and deployment—while OpenAI's GPT models were used for analytical tasks and generating Spanish-language outputs. Although the OT breach was ultimately unsuccessful, Dragos warns the campaign demonstrates how commercial LLMs can accelerate and refine attacks against operational environments and recommends tighter remote access policies and stronger authentication controls.
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39 Seconds: Why Speed Is the New Cybersecurity Perimeter

⏱️ Unit 42 data and a conversation with Wendi Whitmore warn that attackers can exfiltrate data in as little as 39 seconds, forcing a shift from prevention to rapid detection and containment. Whitmore argues manual workflows cannot match adversary tempo and calls for AI-driven detection paired with unified visibility across endpoints, cloud and AI systems. Visibility, not complexity, enables containment before escalation.
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Poisoned Truth: The Quiet Threat to Enterprise AI Security

⚠️ Enterprise AI deployments face a quiet but serious integrity risk when models learn or retrieve false information: data poisoning and widespread data pollution can make LLMs produce plausible but incorrect outputs. This threat spans training datasets, RAG and retrieval layers, agent memory, and internal knowledge bases — and often originates from stale, conflicting, or poorly governed sources rather than deliberate attacks. Security leaders are urged to map all context sources, treat AI inputs as a supply chain, tighten data hygiene, and assign clear governance to identify and remediate corrupted truth.
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CISA Considers Cutting Critical Patch Window to 72 Hours

⚠️ CISA is reportedly weighing a proposal to shorten the remediation window for critical government vulnerabilities from the current 14 days to just 72 hours. The Reuters-sourced report ties the consideration to concerns that AI tools such as Anthropic’s Claude Mythos could accelerate the discovery and weaponization of serious flaws, though CISA has not confirmed the discussion. Security practitioners warn the tighter window would strain testing, asset discovery, and patch deployment; others say it could be attainable with modern automation and processes.
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AI Traffic Analysis Dashboards for AWS WAF and Bot Control

🔍 The AWS blog announces AI Traffic Analysis dashboards for AWS WAF, adding AI-specific visibility into bot and agent activity across web ACLs. The dashboards extend WAF Bot Control detection to more than 650 named bots and provide identity, intent classification, organization breakdowns, top paths, and 14‑day temporal trends. Data is emitted to Amazon CloudWatch and is queryable via the GetTopPathStatisticsByTraffic API for custom dashboards, alerting, and automation. A reference sample demonstrates per-path monetization with CloudFront and Lambda@Edge, with usage guidance and cost warnings.
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Google Agent Gateway: ISV Ecosystem for AI Security

🔒 Google announced Agent Gateway, part of the Gemini Enterprise Agent Platform, to provide a programmable, secure connectivity plane for user-to-agent, agent-to-agent, and agent-to-tools interactions. The Gateway enables teams to inject custom logic and third-party security controls directly into the request path without changing application code. Google highlighted integrations with vendors such as Broadcom (Symantec DLP), Check Point, Cisco, CrowdStrike, Palo Alto Networks, and others to deliver runtime DLP, prompt-injection mitigation, identity governance, and behavioral analytics.
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Oracle moves to monthly security patches to counter AI

🔔 Oracle will issue monthly Critical Security Patch Updates (CSPUs) for its ERP, database and other software, shifting from a quarterly cadence to address faster AI-driven vulnerability discovery. The first monthly CSPU will arrive May 28, then releases will follow on the third Tuesday of each month (June 16, July 21, August 18). Oracle will still publish a cumulative quarterly Critical Patch Update and will auto-apply fixes for customers in Oracle-managed cloud environments. The change primarily affects customers running Oracle software on premises or in third-party hosting.
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Scan Finds Widespread Exposed AI Services and Risks

🔍 Intruder scanned over 1 million exposed AI services and found pervasive, critical misconfigurations and insecure defaults. Many deployments were reachable with no authentication, exposing chat histories, API keys, and management consoles. Exposed agent platforms (including n8n and Flowise) and thousands of Ollama APIs responded without auth, some wrapping paid frontier models. The findings highlight insecure-by-design defaults, hardcoded credentials, and real risks of code execution, data exfiltration, and abuse.
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CISOs Rethink Hiring as AI Widens Skills Shortage Now

🔒 A persistent cybersecurity skills shortage is forcing CISOs to change hiring, training, and architecture decisions as AI amplifies attack scale and complexity. ISC2’s 2025 workforce study found 95% of organizations report at least one skills gap and nearly 60% call those gaps critical or significant. Leaders are turning to internal upskilling, automation, and role transitions, while balancing trade-offs between best-of-breed tooling, integrated platforms, and multicloud complexity.
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2026 Year of AI-Assisted Attacks and Lowered Barriers

🔐In 2025–2026, LLM-backed chat and agent systems evolved from helpful coding assistants into end-to-end development tools that materially lowered the barrier to sophisticated cyberattacks. High-profile incidents — including a 17-year-old who exfiltrated 7 million Kaikatsu Club records and adolescent and single-actor campaigns against Rakuten Mobile and multiple governments — show nontechnical actors achieving team-scale outcomes. Measured indicators worsened sharply: malicious packages surged to 454,600 and time-to-exploit collapsed to weeks. The article recommends targeting whole classes of vulnerabilities—exemplified by Chainguard Libraries—to render many supply-chain and package-distribution attacks structurally impossible.
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Droid Motivation and Security in Star Wars Media Analysis

🤖 This analysis examines how two 2025 TV series — Skeleton Crew and Andor — portray droid motivation and the cybersecurity risks those portrayals imply. In Skeleton Crew, voice commands and memory-overrides resemble modern LLM “jailbreaks,” exposing weak account controls, misplaced permissions, and the danger of context-driven intent failures. The pirate droid SM-33 also reveals flawed memory indexing and role-based ownership rules that can be exploited. In contrast, Andor depicts a hardware-centric approach: replacing a droid’s cortex and rewiring impulse suppression to change allegiance. The post argues that LLM-like control models create real-world security threats and advocates for hardware-rooted, tamper-resistant solutions such as KasperskyOS to prevent unauthorized reprogramming and malicious memory manipulation.
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OpenAI Broadens TAC Program to Government Cyber Defenders

🔐 OpenAI has published a roadmap titled 'Cybersecurity in the Intelligence Age' pledging to democratize AI-powered cyber defense and to extend its Trusted Access for Cyber (TAC) program. The April 30 paper, released shortly after the debut of GPT5.4-Cyber, outlines new TAC tiers for authenticated cyber defenders and wider inclusion of governments, major platforms, cloud hyperscalers and critical infrastructure operators. OpenAI also commits to strengthen internal red-teaming, misuse detection and safety mechanisms while collaborating with governments on threat models and intelligence sharing.
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Improving Security Posture for AI-era Cloud Workloads

🔒 AWS outlines the Security Health Improvement Program (SHIP) as a no-cost, data-driven engagement to assess and prioritize fixes across 10 core cloud security use cases. The program uses actual environment data and AWS guidance to establish baselines needed for safe AI adoption and faster response to AI-accelerated vulnerability discovery. Customers can start via their account team or hands-on Activation Days.
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Anthropic unveils Claude Security: AI code scanning

🔒 Anthropic has launched Claude Security in public beta for Claude Enterprise customers, evolving its previous Claude Code Security offering and running on Claude Opus 4.7. The tool scans codebases to identify vulnerabilities and generates targeted patch instructions, reasoning about data flows and inter-file interactions rather than relying on simple pattern matches. It supports scheduled and targeted scans, audit-friendly exports and integrations, attaches confidence ratings to findings, and requires no API integration or custom agent build. Access is available from the Claude.ai sidebar, with Team and Max tiers coming soon.
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Transforming Software Development with AI Tools at Scale

🤖 Artificial intelligence is rapidly reshaping software development across planning, design, coding, testing, deployment, and maintenance. Download the May 2026 Enterprise Spotlight to learn how organizations can harness AI-enabled development to boost productivity and software quality.
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Regulator Warns: Frontier AI Models Heighten Bank Cyber Risk

⚠ APRA warns that frontier AI models such as Claude Mythos pose a rapidly evolving cyber risk to the banking sector by enabling faster, more automated discovery of vulnerabilities. The regulator found governance often treats AI as “just another technology,” missing distinctive features like predictive behavior, adaptability, bias and data risks, and urged firms to accelerate vulnerability identification and remediation. APRA called for robust security testing of AI‑generated code and deeper assessment of major AI platforms to avoid attackers outpacing current patch cycles.
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Bluekit phishing kit adds AI assistant and 40+ templates

🔵 Bluekit is a newly observed phishing kit that bundles more than 40 templates targeting services such as Outlook, Gmail, Yahoo, ProtonMail, iCloud, GitHub and Ledger. It includes an AI Assistant panel supporting models like Llama, GPT‑4.1, Claude, Gemini and DeepSeek to help draft campaign copy. Varonis found the assistant produces scaffold-like outputs that require cleanup. The platform centralizes domain purchase, phishing page setup, campaign management, granular anti-analysis controls and real-time victim session monitoring, with stolen data exfiltrated via Telegram.
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Enhancing AI-Driven Defense with Claude Opus 4.7 Integration

🔒 Palo Alto Networks’ Unit 42 Frontier AI Defense now integrates Anthropic’s Claude Security powered by Opus 4.7 to accelerate detection and remediation of AI-driven threats. The integration enables AI-driven exposure analysis, scalable deep-stack application reviews, and agentic defense workflows that autonomously detect and remediate issues under human oversight. Participation in Anthropic’s Cyber Verification Program further validates approved defensive use.
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Google and Cursor Fix Critical RCE Flaws in Dev Tools

🔒 Google patched a maximum-severity remote code execution vulnerability in @google/gemini-cli and the google-github-actions/run-gemini-cli workflow that could allow attackers to run arbitrary commands on host systems. Novee Security reported the flaw, which carries a CVSS score of 10.0, and Google says the impact is limited to headless CI usage where workspace folders were auto-trusted. Affected versions include @google/gemini-cli prior to 0.39.1 (and preview releases) and run-gemini-cli prior to 0.1.22; users should update to the patched releases, explicitly set GEMINI_TRUST_WORKSPACE when inputs are trusted, or follow Google’s hardening guidance for untrusted inputs. Google also tightened allowlisting checks for --yolo mode to prevent auto-approved tool calls from bypassing restrictions.
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AI-Powered Honeypots: Turning the Tables on Malicious Agents

🛡️ Generative AI enables defenders to deploy large numbers of convincing, adaptive honeypots — from Linux shells to IoT devices — using simple text prompts. These AI-driven decoys are particularly effective against automated attackers that favor speed over stealth, allowing analysts to observe tactics and tooling in real time within a controlled environment. By exploiting the lack of awareness in AI agents, organizations can shift from passive detection to active manipulation, turning attacker automation into a defensive liability. Prototype implementations show how a listener, simulated vulnerability, and an AI responder combine to emulate targeted systems at scale.
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