All news with #ai security tag

🤝 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.

🔎 This article examines methods to infer user satisfaction from untagged chatbot conversations by combining linguistic and behavioral signals. It argues that conventional metrics such as accuracy and completion rates often miss subtle indicators of user sentiment, and recommends unsupervised and weakly supervised NLP techniques to surface those signals. The post highlights practical considerations including privacy-preserving aggregation, deployment complexity, and the potential business benefit of reducing churn and improving customer experience through targeted dialog improvements.

🚀 California is partnering with Google Cloud to modernize state and local services by applying AI, security, and infrastructure solutions. Agencies such as Covered California use Document AI, Assured Workloads, and AI-driven security to speed eligibility decisions and protect sensitive data. Universities including UCR and Caltech are using Vertex AI and AI-optimized HPC for research acceleration. Workspace, Gemini, and Agentspace are cited as productivity and information-management enablers.

🔒Prisma AIRS offers unified, AI-native security across the full AI lifecycle, from model development and training to deployment and runtime monitoring. The platform focuses on five core capabilities—model scanning, posture management, AI red teaming, runtime security and agent protection—to detect and mitigate threats such as prompt injection, data poisoning and tool misuse. By consolidating workflows and sharing intelligence across Prisma, it aims to simplify operations, accelerate remediation and reduce total cost of ownership so organizations can deploy bravely.

🔒 This upcoming 60‑minute webinar examines how quantum computing and AI are jointly reshaping cybersecurity and accelerating new attack vectors. Top experts will cut through the hype to explain quantum-safe cryptography, practical defenses against AI-driven phishing and "harvest now, decrypt later" risks, and industry-specific controls for finance, healthcare, and critical infrastructure. Attendees will leave with a concrete roadmap for assessment, deployment, and ongoing resilience. Seats are limited.

🛡️ Generative AI is now central to enterprise work, but rapid adoption has exposed gaps in legacy security models that were not designed for last‑mile behaviors. The piece argues buyers must reframe evaluations around real-world AI use — inside browsers and across sanctioned and shadow tools — and prioritize solutions offering real-time monitoring, contextual enforcement, and low‑friction deployment. It warns against blunt blocking and promotes nuanced controls such as redaction, just‑in‑time warnings, and conditional approvals to protect data while preserving productivity.

🛡️ New IO research reports that 26% of surveyed UK and US organisations have experienced data poisoning, and 37% observe employees using generative AI tools without permission. The third annual State of Information Security Report highlights rising concern around AI-generated phishing, misinformation, deepfakes and shadow AI. Despite the risks, most respondents say they feel prepared and are adopting acceptable use policies to curb unsanctioned tool use.

🧭 Google Cloud has expanded the Data Science Agent in Colab Enterprise notebooks to support BigQuery ML, BigQuery DataFrames and Spark, enabling large-scale data transformation, model training, and inference directly on BigQuery or via Serverless for Apache Spark. The agent can now auto-retrieve BigQuery table metadata and lets you add tables via an @ mention from your current project to provide prompt context. To invoke frameworks, include keywords such as BigQuery ML, BigFrames, or PySpark; sample prompts are provided to guide forecasting, supervised learning, and dimensionality reduction workflows. Notable limitations: generated PySpark targets Spark 4.0 and @ mentions only search the current project; BigQuery improvements are available now in BigQuery notebooks and coming soon to Vertex AI.

🧭 Villager, an AI-native penetration testing framework developed by Chinese group Cyberspike, has reached nearly 11,000 downloads on PyPI just two months after release. The tool integrates Kali Linux utilities with DeepSeek AI models and operates as a Model Context Protocol (MCP) client to automate red team workflows. Researchers at Straiker reported that Villager can spin up on-demand Kali containers, automate browser testing, use a database of more than 4,200 prompts for decision-making, and deploy self-destructing containers — features that lower the barrier to sophisticated attacks and raise concerns about dual-use abuse.

🚀 Check Point is acquiring Lakera to build a comprehensive AI security stack for enterprises adopting generative and AI-driven applications. The move aims to protect the emerging AI attack surface by combining Check Point's security platform with Lakera's AI threat analysis and model-protection capabilities. Customers should expect integrated defenses for models, data, and pipelines, increased visibility into model behavior, and tools for managing model risk and compliance.

🤖 Security leaders report early wins from AI in detection, triage, and automation, but emphasize limits and oversight. Prioritizing high-value telemetry for real-time detection while moving lower-priority logs to data lakes improves signal-to-noise and shortens response times, according to Myke Lyons. Financial firms are experimenting with agentic AI to block business email compromise in real time, yet researchers and practitioners warn of missed detections and 'ghost alerts.' Organizations that treat AI as a copilot with governance, explainability, and institutional context see more reliable, safer outcomes.

🔒 CrowdStrike announced its intent to acquire Pangea to deliver the industry’s first AI detection and response (AIDR) capability, securing enterprise AI use and development across data, models, agents, identities, infrastructure, and interactions. Unveiled at Fal.Con 2025 by Michael Sentonas, the deal will integrate Pangea’s prompt‑layer and interaction security with the Falcon platform to provide unified visibility, governance, and enforcement across the AI lifecycle. The combined solution targets prompt injection, model manipulation, shadow AI and sensitive data exfiltration while enabling developers and security teams to innovate faster with built‑in safeguards.

🤖 At the Google Cloud CISO Community event in Singapore, APAC security leaders highlighted accelerating investment in cybersecurity AI to scale operations and enable business outcomes. They emphasized priorities: getting AI implementation and governance right, securing the AI supply chain, and translating cyber risk into board-level impact. Practical wins noted include reduced investigation time, agentic SOC automation, and strengthened threat intelligence sharing.

🔒 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.