All news with #ai security tag

⚠️ Organizations eager to deploy generative AI often underestimate the cybersecurity risks, from AI-driven phishing to model manipulation and deepfakes. The article, sponsored by Acronis, warns that many firms—especially smaller businesses—lack processes to assess AI security before deployment. It urges embedding security into development pipelines, continuous model validation, and unified defenses across endpoints, cloud and AI workloads.

🛡️ A Gartner survey found 29% of security leaders reported generative AI applications in their organizations were targeted by cyberattacks over the past year, and 32% said prompt-structure vulnerabilities had been deliberately exploited. Chatbot assistants are singled out as particularly vulnerable to prompt-injection and hostile prompting. Additionally, 62% of companies experienced deepfake attacks, often combined with social engineering or automated techniques. Gartner recommends strengthening core controls and applying targeted measures for each new risk category rather than pursuing radical overhauls. The survey of 302 security leaders was conducted March–May 2025 across North America, EMEA and Asia‑Pacific.

🔐 At Fal.Con 2025, CrowdStrike CEO George Kurtz outlined a shift from reactive SOCs to an agentic model where intelligent agents reason, decide, act, and learn across domains. CrowdStrike introduced seven AI agents within its Charlotte framework for exposure prioritization, malware analysis, hunting, search, correlation rules, data transformation and workflow generation, and is enabling customers to build custom agents. The company highlights a proprietary "data moat" of trillions of telemetry events and annotated MDR threat data as the foundation for training agents, and announced the acquisition of Pangea to protect AI agents and launch AIDR (AI Detection and Response). The vision places humans as orchestrators overseeing fleets of agents, accelerating detection and response while preserving accountability.

⚠️ Research and expert interviews indicate that AI coding assistants cut trivial syntax errors but increase more costly architectural and privilege-related flaws. Apiiro found AI-generated code produced fewer shallow bugs yet more misconfigurations, exposed secrets, and larger multi-file pull requests that overwhelm reviewers. Experts urge preserving human judgment, adding integrated security tooling, strict review policies, and traceability for AI outputs to avoid automating risk at scale.

🔒 At DEF CON 33, Google and Airbus hosted the GenSec Capture the Flag (CTF) to promote human–AI collaboration and accelerate adoption of AI in cybersecurity workflows. Nearly 500 participants completed introductory challenges, 23% used AI for security for the first time, and 85% found the event useful for learning practical AI applications. The CTF also featured Sec-Gemini as an optional assistant in the UI; 77% of respondents rated it very or extremely helpful, and organizers are incorporating feedback into future iterations.

🛡️ Bugcrowd's annual "Inside the Mind of a CISO 2025: Resilience in an AI-Accelerated World" report warns that rapid, AI-assisted development is expanding the attack surface and exposing foundational weaknesses. Published September 23, the study links faster release cycles to gaps in access control, data protection and hardware security, and highlights rising API and network vulnerabilities. It calls for continuous offensive testing and collective intelligence to mitigate escalating risks.

🔐 Selecting an AI platform is necessary but insufficient; successful enterprise adoption hinges on how the system is introduced, integrated, and supported. CISOs must publish a clear, accessible AI use policy that defines permitted behaviors, off-limits data, and auditing expectations. Provision access by default using SSO and SCIM, pair rollout with vendor-led demos and role-focused training, and provide living user guides. Build an AI champions network, harvest practical productivity use cases, limit unmanaged public tools, and keep governance proactive and supportive.

🛡️ AI is being applied across security operations in novel ways to predict, simulate, and deter attacks. Experts from BforeAI, NopalCyber, Hughes, XYPRO, AirMDR, and Kontra outline six approaches — predictive scoring, GAN-driven attack simulation, AI analyst assistants, micro-deviation detection, automated triage and response, and proactive generative deception — that aim to reduce alert fatigue, accelerate investigations, and increase attacker costs. Successful deployments depend on accurate ground truth data, continuous model updates, and significant compute and engineering investment.

🤖 AI-driven phishing campaigns are increasingly using convincing fake CAPTCHA pages to bypass security filters and trick users into revealing credentials. Trend Micro found these AI-generated pages hosted on developer platforms such as Lovable, Netlify, and Vercel, with activity observed since January and a renewed spike in August. Attackers exploit low-friction hosting, platform credibility, and AI coding assistants to rapidly clone brand-like pages that first present a CAPTCHA, then redirect victims to credential-harvesting forms. Organizations should combine behavioural detection, hosting-provider safeguards, and phishing-resistant authentication to reduce risk.

🔒 Falcon Cloud Security provides end-to-end protection for AI development pipelines by embedding AI detection into CI/CD workflows, scanning container images, and surfacing AI-related packages and CVEs in real time. It extends visibility to cloud model services — including AWS SageMaker and Bedrock, Azure AI, and Google Vertex AI — revealing model provenance, dependencies, and API usage. Runtime inventory ties build-time detections to live containers so teams can prioritize fixes, govern models, and maintain delivery velocity without compromising security.

🔓 Radware disclosed ShadowLeak, a zero-click vulnerability in OpenAI's ChatGPT Deep Research agent that can exfiltrate sensitive Gmail inbox data when a single crafted email is present. The technique hides indirect prompt injections in email HTML using tiny fonts, white-on-white text and CSS/layout tricks so a human user is unlikely to notice the commands while the agent reads and follows them. In Radware's proof-of-concept the agent, once granted Gmail integration, parses the hidden instructions and uses browser tools to send extracted data to an external server. OpenAI addressed the issue in early August after a responsible disclosure on June 18, and Radware warned the approach could extend to many other connectors, expanding the attack surface.

🚀 Managed Lustre on GKE is a managed parallel file system with a CSI driver that brings low-latency, high-throughput POSIX storage to Kubernetes for demanding AI and HPC workloads. It is recommended for training, checkpointing, and small-file patterns where GPUs/TPUs must stay utilized, while Cloud Storage is an alternative for large, higher-latency files. The article presents five operational best practices—data locality, tiering, networking, provisioning, and using Kubernetes Jobs with a shared PVC—to maximize performance and control costs.

🚀 Google Cloud announced a new suite of AI training courses for intermediate and advanced learners across technical and non-technical roles. The curriculum covers designing and managing AI infrastructure using GCE and GKE, fine-tuning models like Gemini, serverless inference with Cloud Run, and securing generative AI deployments. Hands-on labs teach building AI agents that securely connect to enterprise databases and rapid prototyping in Google AI Studio. Courses are available on Google Cloud Skills Boost to help learners future-proof their AI skills.

🔒 Radware disclosed a zero-click vulnerability dubbed ShadowLeak in OpenAI's Deep Research agent that can exfiltrate Gmail inbox data to an attacker-controlled server via a single crafted email. The flaw enables service-side leakage by causing the agent's autonomous browser to visit attacker URLs and inject harvested PII without rendering content or user interaction. Radware reported the issue in June; OpenAI fixed it silently in August and acknowledged resolution in September.

🔐 Trend Micro researchers report cybercriminals are using AI-powered site builders like Lovable, Vercel and Netlify to rapidly create convincing fake CAPTCHA pages. Seen since January 2025 with a sharp escalation from February to April, these pages make phishing links appear legitimate and can help evade automated scanners by presenting a CAPTCHA before redirecting users to credential-stealing sites. Recommended mitigations include employee education, redirect-chain analysis and monitoring trusted domains for abuse.

🤖 Gemini in Chrome brings AI assistance directly into the browser to help employees summarize reports, extract video insights, recall and navigate tabs, and take actions via integrations with Google Calendar, Docs, and Drive. Rolling out in the U.S. on Mac and Windows with Android availability and iOS coming soon, these features are configurable through Chrome Enterprise Core policies so IT retains control. AI Mode in the omnibox and enhanced Safe Browsing add context-aware responses and proactive protection against AI-driven scams.

🤝 Check Point Software Technologies recognised top-performing partners across Asia Pacific at its 2025 Partner Conference held 8-11 September at the JW Marriott Hanoi. Nearly 200 regional partners gathered to address rising AI-driven cyber threats, share best practices and strengthen go-to-market strategies. As a 100% partner-led organisation, Check Point celebrated channel excellence with awards that honoured innovation, collaboration and outstanding adoption of its unified security portfolio. The event reinforced the ecosystem’s central role in securing organizations across the region.

⚠️Kaspersky tracked TA558, operating under the cluster known as RevengeHotels, using AI-generated JavaScript and PowerShell loaders in summer 2025 to deliver Venom RAT to hotels in Brazil and Spanish-speaking markets. Phishing emails in Portuguese and Spanish used reservation and job-application lures to coax users into running a WScript payload that chains to a PowerShell downloader fetching 'cargajecerrr.txt' and subsequent loaders. The Venom RAT, based on Quasar, includes data-stealing, reverse-proxy, persistence and aggressive anti-kill features aimed at harvesting payment card data from hotel systems and OTAs.

🔒 A centralized proxy architecture on Google Cloud can secure remote Model Context Protocol (MCP) servers by intercepting tool calls and enforcing consistent policies across deployments. Author Lanre Ogunmola outlines five core MCP risks — unauthorized tool exposure, session hijacking, tool shadowing, token/theft and authentication bypass — and recommends an MCP proxy (Cloud Run, GKE, or Apigee) integrated with Cloud Armor, Secret Manager, and identity services for access control, secret scanning, and monitoring. The post emphasizes layered defenses including Model Armor for prompt/response screening and centralized logging to reduce blind spots and operational overhead.

🔐 Check Point has agreed to acquire Lakera, an AI-native security platform focused on protecting agentic AI and LLM-based deployments, in a deal expected to close in Q4 2025 for an undisclosed sum. Lakera’s Gandalf adversarial engine reportedly leverages over 80 million attack patterns and delivers detection rates above 98% with sub-50ms latency and low false positives. Check Point will embed Lakera into the Infinity architecture, initially integrating into CloudGuard WAF and GenAI Protect, offering near-immediate, API-based protection as an add-on for existing customers.