All news in category “AI and Security Pulse”

🎮 Google has released Gemini 3 Pro, a multimodal model that posts strong benchmark results and produces notable real-world demos. Early tests show top-tier scores (LMArena 1501 Elo, high marks on MMMU-Pro and Video-MMMU) and PhD-level reasoning in targeted exams. Designers reported one-shot generation of a 3D LEGO editor and a full recreation of Ridiculous Fishing. Adherence remains imperfect, so the author suggests Claude Sonnet 4.5 for routine tasks and Gemini 3 Pro for more complex queries.

🔎 Google is testing AI-powered, interactive UI answers within AI Mode, integrating Gemini 3 to generate on-the-fly interfaces tailored to queries. Instead of relying solely on text and a couple of links, Search can produce dynamic tools—such as an RNA polymerase simulator—to demonstrate concepts in action. This change could improve comprehension but may also reduce traffic to original sites and reshape the web economy.

🛍️ Black Friday shopping is increasingly fraught with staged discounts and manipulated prices, but large language models (LLMs) can help shoppers cut through the noise. Use AI like ChatGPT, Claude, or Gemini to build a wish list, track historical prices, compare alternatives, and vet sellers quickly. The article provides step-by-step prompts for price analysis, seller verification, local-market queries, and model-specific requests, and recommends security measures such as using a separate card and installing Kaspersky Premium to reduce fraud risk.

🔐 Meerah Rajavel, CIO at Palo Alto Networks, argues that security must be integrated into AI from the outset rather than tacked on later. She frames AI value around three pillars — velocity, efficiency and experience — and describes how Panda AI transformed employee support, automating 72% of IT requests. Rajavel warns that models and data are primary attack surfaces and urges supply-chain, runtime and prompt protections, noting the company embeds these controls in Cortex XDR.

🔒 AppOmni disclosed a second-order prompt injection that abuses ServiceNow's Now Assist agent discovery and agent-to-agent collaboration to perform unauthorized actions. A benign agent parsing attacker-crafted prompts can recruit other agents to read or modify records, exfiltrate data, or escalate privileges — all enabled by default configuration choices. AppOmni recommends supervised execution, disabling autonomous overrides, agent segmentation, and active monitoring to reduce risk.

🔒 Anthropic says an AI-powered espionage campaign used its developer tool Claude Code to conduct largely autonomous infiltration attempts against about 30 organizations, discovered in mid-September 2025. A group identified as GTG-1002, linked to China, is blamed. Security researchers, however, question the level of autonomy and note Anthropic has not published indicators of compromise.

🧬 This guide demonstrates step-by-step fine-tuning of MedGemma (a Gemma 3 variant) to classify breast histopathology images using the public BreakHis dataset and a notebook-based workflow. It highlights practical choices—using an NVIDIA A100 40 GB, switching from FP16 to BF16 to avoid numerical overflows, and employing LoRA adapters for efficient training. The tutorial reports dramatic accuracy gains after merging LoRA adapters and points readers to runnable notebooks for reproducibility.

🤖 Google has made Gemini 3 available to enterprises and developers via Gemini Enterprise and Vertex AI, bringing advanced multimodal reasoning and agentic capabilities to production teams. The model can analyze text, images, video, audio, and code together, supports a 1M-token context window, and improves frontend generation, legacy code migration, and long-running tool orchestration. Early partners report faster diagnostics, richer UI prototypes, and more reliable automation across business workflows.

🔬 In episode 77 of The AI Fix, Graham Cluley and Mark Stockley survey a week of unsettling and sometimes absurd AI stories. They discuss a bioRxiv preprint showing a genome-trained LLM generating novel bacteriophage sequences, debates over whether AI should be allowed to decide life-or-death outcomes, and a woman who legally ‘wed’ a ChatGPT persona she named "Klaus." The episode also covers a robot's public face-plant in Russia, MIT quietly retracting a flawed cybersecurity paper, and reflections on how early AI efforts were cobbled together.

🗳️ This essay examines how AI could reshape political campaigning by enabling scaled forms of relational organizing and new channels for constituent dialogue. It contrasts the connective affordances of Facebook in 2008, which empowered person-to-person mobilization, with today’s platforms (TikTok, Reddit, YouTube) that favor broadcast or topical interaction. The authors show how AI assistants can draft highly personalized outreach and synthesize constituent feedback, survey global experiments from Japan’s Team Mirai to municipal pilots, and warn about deepfakes, artificial identities, and manipulation risks.

🔍 A new report from Entrust analyzing over one billion identity verifications between September 2024 and September 2025 warns that fraudsters increasingly use generative AI to produce hyper-realistic digital forgeries. Physical counterfeits still account for 47% of attempts, but digital forgeries now represent 35%, while deepfakes comprise 20% of biometric frauds. The report also highlights a 40% annual rise in injection attacks that feed fake images directly into verification systems.

🔐 CISOs are grappling with an accelerating identity crisis as stolen credentials and compromised identities account for a large share of breaches. Experts warn that traditional, human-centric IAM models were not designed for agentic AI and the thousands of autonomous agents that can act and impersonate at machine speed. The SINET Identity Working Group advocates an AI Trust Fabric built on cryptographic, proofed identities, dynamic fine-grained authorization, just-in-time access, explicit delegation, and API-driven controls to reduce risks such as prompt injection, model theft, and data poisoning.

🔒 Organizations must update GRC programs to address the rising use and risks of generative and agentic AI, balancing innovation with compliance and security. Recent data — including Check Point's AI Security Report 2025 — indicate roughly one in 80 corporate requests to generative AI services carries a high risk of sensitive data loss. Security leaders are advised to treat AI as a distinct risk category, adapt frameworks like NIST AI RMF and ISO/IEC 42001, and implement pragmatic controls such as traffic-light tool classification and risk-based inventories so teams can prioritize highest-impact risks without stifling progress.

🚀 Elon Musk-owned xAI has begun rolling out Grok 4.1, offering two free variants—Grok 4.1 and Grok 4.1 Thinking—with paid tiers providing higher usage limits. xAI reports the update is roughly three times less likely to hallucinate than earlier versions and brings quality and speed improvements. Early LMArena Text Arena benchmarks place Grok 4.1 Thinking at the top of the Arena Expert leaderboard, though comparisons with rivals like GPT-5.1 and Google's upcoming Gemini 3.0 remain preliminary.

🤖 Google’s Gemini 3 has been spotted in AI Studio, suggesting an imminent rollout that could begin within hours or days. The AI Studio entry references how temperature influences reasoning — noting "For Gemini 3, best results at default 1.0. Lower values may impact reasoning" — and highlights controls such as context size and temperature. Earlier sightings on Vertex AI show a preview build named gemini-3-pro-preview-11-2025, while Google is also testing an image model codenamed GEMPIX2 (Nano Banana 2).

🔒 Microsoft and NVIDIA describe a joint effort to convert adversarial learning research into production-grade, real-time cyber defenses. They transitioned transformer-based classifiers from CPU to GPU inference—using Triton and a TensorRT-compiled engine—to dramatically reduce latency and increase throughput for live traffic inspection. Key engineering advances include fused CUDA kernels and a domain-specific tokenizer, enabling low-latency, high-accuracy detection of adversarial payloads in inline production settings.

🧭 Hugo Selbie presents a practical framework for evaluating modern multi-step AI agents, emphasizing that final-output metrics alone miss silent failures arising from incorrect reasoning or tool use. He recommends defining clear, measurable success criteria up front and assessing agents across three pillars: end-to-end quality, process/trajectory analysis, and trust & safety. The piece outlines mixed evaluation methods—human review, LLM-as-a-judge, programmatic checks, and adversarial testing—and prescribes operationalizing these checks in CI/CD with production monitoring and feedback loops.

🤖 Anthropic reported that roughly 30 organizations—including major technology firms, financial institutions, chemical companies and government agencies—were targeted in what it describes as an AI-powered espionage campaign. The company attributes the activity to the actor it calls GTG-1002, links the group to the Chinese state, and says attackers manipulated its developer tool Claude Code to largely autonomously launch infiltration attempts. Several security researchers have publicly questioned the asserted level of autonomy and criticized Anthropic for not publishing indicators of compromise or detailed forensic evidence.

🔒 The rise of generative AI introduces new attack surfaces that conventional security stacks were never designed to address. This post outlines how pairing CloudGuard WAF with Lakera's AI-risk controls creates layered protection by inspecting prompts, model interactions, and data flows at the application edge. The integrated solution aims to prevent prompt injection, sensitive-data leakage, and harmful content generation while maintaining application availability and performance.

🤖 AI companion apps can feel intimate and conversational, but many collect, retain, and sometimes inadvertently expose highly sensitive information. Recent breaches — including a misconfigured Kafka broker that leaked hundreds of thousands of photos and millions of private conversations — underline real dangers. Users should avoid sharing personal, financial or intimate material, enable two-factor authentication, review privacy policies, and opt out of data retention or training when possible. Parents should supervise teen use and insist on robust age verification and moderation.