All news with #ai security tag

🔍 This article introduces labs demonstrating how to prepare and use data stored in Google Cloud databases to support production-ready AI. It highlights semantic search using embeddings in AlloyDB and Cloud SQL (PostgreSQL and MySQL), multimodal image–text embeddings, and AlloyDB AI functions like on-the-fly semantic evaluation and reranking. It also covers NL2SQL generation via the alloydb_ai_nl extension and points to hands-on modules for moving from tests to production.

🤖 Cloudflare describes how increasing AI crawler traffic—used by retrieval-augmented generation, real-time summarization, and large-scale dataset collection—fundamentally alters CDN cache dynamics. AI agents request high volumes of unique, long‑tail URLs, often in parallel and without shared sessions, producing low reuse and high cache churn that raises misses and origin load. Cloudflare proposes AI-aware caching, traffic filtering, and a dedicated AI cache tier to preserve low-latency human-facing performance while serving diverse AI workloads.

🔐 AI is rapidly reshaping how software is written, deployed, and consumed, pointing toward a future of on-demand "instant software" that is created and discarded as needed. The essay examines how improved AI tools will change the attacker/defender dynamic by automating both vulnerability discovery and, potentially, patch creation. It highlights particularly exposed areas such as IoT and legacy industrial systems and outlines several key unknowns—AI effectiveness on closed-source code, patch reliability, update lag, coordination of defenses, and risks of poisoning or social-engineering attacks. The author sketches optimistic scenarios (self-healing networks, rapid coordinated patching) while warning that attackers will adapt by targeting unpatchable legacy code and human elements.

⚠️ Last week a leaked build of Anthropic's new model, Claude Capybara (also called Mythos), revealed substantially improved capabilities for automated vulnerability discovery, exploit development, and multi-step attack reasoning. The incident marks a turning point: frontier AI can compress attack lifecycles and enable scalable, novel exploitation techniques that were once the domain of advanced state actors. Security teams should treat this as a warning and accelerate risk assessments, patching, detection, and governance measures.

🔔 This article distills five practical steps to move SOCs from alert fatigue to measurable business resilience, based on the 2026 N-able State of the SOC Report. It explains why volume-focused metrics fail, highlights that 90% of investigations are automatable, and shows how AI-driven correlation and SOAR can reclaim analyst time. The guide emphasizes layered defenses and playbooks designed to contain incidents quickly and preserve uptime.

🔒 AI-driven changes in web applications and APIs are outpacing traditional controls, creating large visibility and detection gaps. The 2026 Web Application Security Report, based on a global survey of over 800 security professionals, finds only 29% confidence in overall application security and just 15% for AI-integrated apps. FortiAppSec Cloud is presented as an integrated platform combining WAF, API protection, bot mitigation, and application security services to provide shared telemetry and consistent enforcement across dynamic, service-generated traffic.

🔒 New ESET polling of 500 senior IT, OT, operations, risk and security leaders shows 78% of UK manufacturers experienced a serious cyber incident in the past year. Most (95%) saw direct business impact and 53% reported financial losses, with supply chain disruption and missed commitments common. Respondents flagged AI-enabled attacks as the top production threat, yet only 22% assign cyber accountability to the board.

🛡️ Treat AI like a very new, junior employee and as software: it’s capable but not infallible, so give clear goals, explicit permissions, and limit its authority. Apply distinct identities and least-privilege controls, avoid relying on AI for deterministic access decisions, and test for indirect prompt injection (XPIA) using techniques such as Spotlighting and Prompt Shield. Design end-to-end systems that include people and processes, document safety plans and failure modes, and continuously monitor and vet models and agents for changes.

🔒 RSA Conference 2026 made clear that AI dominated every conversation, reframing priorities for CISOs and security teams. Sessions and hallway discussions emphasized securing the AI stack, managing rampant shadow AI usage, and governing machine or non-human identities. Speakers warned that AI accelerates both attacks and defensive response, while capital and workforce dynamics are shifting rapidly.

🔐 At RSAC 2026, Google Cloud leaders outlined a three-stage AI adoption journey—automate tasks, redesign workflows, and rethink functions—and stressed the need for a bilingual workforce fluent in both domain and AI. They warned that AI expands the attack surface across models, agents, and data, urging multi-model, multicloud resilience and identity-centric defenses. Google highlighted the Secure AI Framework, partnerships to counter supply-chain threats like OpenClaw, and agentic SOC innovations, including the acquisition of Wiz and its AI-Application Protection Platform.

🔒 GitGuardian's State of Secrets Sprawl 2026 shows leaks accelerated in 2025, uncovering 29 million new hardcoded secrets — a 34% year-over-year increase and the largest single-year jump recorded. The report highlights three core trends: AI-driven credential exposures, unexpectedly widespread internal-repo and collaboration-tool leaks, and persistent remediation failures. It urges a shift from detection to continuous non-human identity governance, secrets vaulting, and automated rotation to reduce attacker access.

🎥 RSAC 2026 concluded with AI agents taking center stage across sessions and discussions. ESET Chief Security Evangelist Tony Anscombe, on the ground for the conference, highlights that AI was discussed both as a strong defensive capability and, more urgently, as a growing risk many organizations have not yet fully addressed. Watch the video for concise, practical takeaways from the event, where ESET delivered a record six presentations.

🔒 A PwC report finds AI is now the top cybersecurity investment priority for defenders as criminals rapidly weaponize generative models. The firm's Annual Threat Dynamics 2026 study warns adversaries are using AI to accelerate malware development, automate reconnaissance and scale social engineering, including via dark‑web LLMs. PwC cites agentic tools like ReaperAI being repurposed in real campaigns, but also stresses that AI can empower defenders with faster detection, automated containment and intelligence‑led decision‑making when embedded into security strategies.

🛡️ OpenAI has launched a new Safety Bug Bounty, hosted on Bugcrowd, to solicit researcher reports of AI abuse and safety risks across its products. Announced March 26, it complements the existing Security Bug Bounty and targets issues like agentic risks (MCP abuse, prompt injection, data exfiltration), account integrity violations, and proprietary-information exposures. OpenAI clarified scope limits, excludes low-impact jailbreaks, runs private campaigns for certain harms, and will triage submissions between safety and security programs.

🔍 Modern attackers use AI to imitate trusted users, tools, and services, making many incidents malware-free and harder to detect. The article compares these tactics to art forger Elmyr de Hory and outlines threats such as agentic AI, supply-chain impostors, cloaked tunnels, rogue infrastructure, and sophisticated phishing. Network Detection and Response (NDR), including Corelight’s Open NDR Platform, is highlighted as essential for spotting behavioral anomalies, protocol inconsistencies, and contextual metadata to expose impostors early.

🤖 AI-assisted triage is changing vulnerability workflows and forcing organizations to redesign ownership and decision-making. By enriching findings with exploitability indicators, ownership metadata and business-impact signals, AI platforms accelerate detection and reduce manual triage. Security teams must shift from routine investigation to governing models, defining owners, and maintaining human checkpoints for high‑risk actions. Treat AI-driven features as first-class risk surfaces and assign clear owners for model behavior, prompt safety and misuse prevention.

🔐 The UK NCSC's chief executive Richard Horne told the RSA Conference (March 24) to 'seize the disruptive vibe coding opportunity' while urgently developing safeguards. He warned AI-assisted development can either reduce systemic vulnerability or propagate new flaws depending on model design and controls. NCSC CTO David C published Secure Vibe Coding Commandments advocating secure-by-default models, provable provenance, AI-powered audits, deterministic guardrails and sandboxed hosting.

🚀 Cloudflare's Dynamic Worker Loader API enables Workers to instantiate isolated JavaScript sandboxes at runtime, letting LLM-generated code run securely and on-demand. Using lightweight V8 isolates rather than containers, Dynamic Workers start in milliseconds, are far more memory efficient, and scale across Cloudflare's edge. The feature supports TypeScript RPC interfaces, credential injection for outbound HTTP, and helper libraries for bundling, virtual filesystems, and Code Mode integration.

🔒 AI-driven demand is reshaping data center security and requires a programmatic, repeatable approach to scale without sacrificing quality. Providers must turn projects into standardized programs, reuse templates and BIM/digital-twin assets, and automate design and QA to sustain precision at hyperscale. Strategic partners should engage early, operate as collaborative owners, and help translate evolving regulatory, identity/access, drone and device risks into repeatable controls.

🚀 Google Cloud previews GKE and open-source innovations at KubeCon Europe 2026, focusing on making Kubernetes the best platform for AI and agentic workloads. Autopilot compute classes can now be enabled per workload on Standard clusters, and GKE Cluster Autoscaler will be open-sourced to advance vendor-neutral provisioning. GKE is certified for the CNCF Kubernetes AI Conformance program, and projects like llm-d, DRA drivers for TPUs, and DRANET aim to standardize inference and resource management. Features such as the Model Context Protocol, Kubernetes Agent Sandbox, and GKE Pod Snapshots target secure, fast startup and manageability for agents.