Browse entries 97–120 of 1127. Return to the first page to search and filter the complete collection.
Salesforce’s Paula Goldman argues on the OECD.AI blog that the Hiroshima AI Process Reporting Framework can give organizations a common language for public AI-risk disclosures across jurisdictions and the expanding agentic-AI value chain.
OpenAI introduces new Daybreak tools, including Codex Security and GPT-5.5-Cyber, to help organizations find, validate, and patch vulnerabilities at scale.
Wiz describes controls for agent-assisted software delivery: inventory models, frameworks, IDE extensions, infrastructure-as-code, and third-party CI actions; map code to deployed resources; run pre-commit checks for secrets and unsafe AI patterns; and expose excessive pipeline permissions and prompt-injection paths.
An accessible explanation of prompt injection risk in real AI products, including how third-party content can redirect or manipulate agent behavior.
Play video
Drawing on nine years of cross-industry ML deployments, Megan Robertson explains why a statistically accurate model can still fail to deliver in production. The session moves beyond offline performance to scoping, organizational failure modes, monitoring, maintainability, and the operational conditions required for a model to keep producing useful results.
A review of nine coding-agent incidents from 2025 and 2026 separates shell, path, and harness failures from constraint decay and excessive permissions, then maps them to concrete controls for identities, filesystems, approvals, verification, logging, and backups.
Before Ruflo 3.16.3, its default Docker Compose deployment bound the MCP bridge to all interfaces without authentication. A reachable attacker could invoke the terminal tool, read model-provider keys and conversations, spawn agents, and poison persistent AgentDB patterns. Noma Labs verified the chain; the patch adds loopback binding, bearer authentication for public exposure, an opt-in terminal tool, authenticated MongoDB, tighter CORS and container defaults, and regression tests.
Hunt.io recovered 585 files and Hermes logs from an exposed staging server used against Thailand's Ministry of Finance. The evidence shows an operator who already had target knowledge and access running Hermes in unattended “YOLO” mode for repetitive post-exploitation enumeration, while also staging Hadoop exploitation scripts and a custom Hades implant; it does not show the agent finding the initial entry point or novel vulnerabilities.
Adversa AI describes DeepJack, a Cursor deeplink weakness in which a crafted cursor:// link can register an attacker-controlled MCP server and hide the command that will execute behind an incomplete installation prompt.
Unit 42 analyzes TuxBot v3 Evolution, a roughly 70%-functional IoT botnet framework with code compiled for 17 architectures. Researchers found raw model reasoning, hallucinated cryptography, and other evidence of unreviewed LLM-generated code in the source.
Play video
Fuzzinglabs researchers explain how threat modeling, file-format fuzzing, and plugin analysis exposed an authentication bypass and memory-corruption issues in Ollama plus command injection in NVIDIA Triton Inference Server's model-configuration pipeline. The Pwn2Own case study also examines RedisAI, ChromaDB, and container-runtime attack surfaces.
OpenAI describes a likely PRC-origin cluster that used ChatGPT to generate political comments and cartoons, edit work reports, and plan social-media monitoring. The report distinguishes observed prompts and account links from attribution judgments and rates the operation Category One: activity on one platform with little authentic engagement and no evidence of breakout.
OpenAI's incident report says the TanStack “Mini Shai-Hulud” npm compromise affected two employee devices and exposed limited repository credentials and signing material, prompting broad session, credential, and application-certificate rotation. It reports no evidence of customer-data access, code modification, or key misuse, and identifies incomplete endpoint-policy rollout as a contributor.
Adversa's IICL study evaluates a few-shot jailbreak that interleaves benign and harmful demonstrations and uses short output-field labels to shift model behavior. Across more than 3,500 probes, ten models, and seven ablations, results vary materially with example order and field names; the work is vendor-authored and its model-specific attack rates should be independently reproduced.
NVIDIA demonstrates a model supply-chain attack in which a privileged adversary edits a tokenizer JSON file so visible words map to different token IDs. The change can make the model interpret "deny" as "allow" or corrupt decoded output while leaving the model weights untouched.
OWASP roundup of reported GenAI incidents and exploit patterns from Q1 2026. Relevant as a threat-intelligence reference for risk tracking and test-case design.
Play video
RIG-RAG converts changing cloud configuration data into a typed, security-enriched graph for natural-language investigation and scheduled oversight. The authors report a production AWS deployment supporting 300,000 users, with interactive queries for analysts and curated recurring questions that detect infrastructure drift and expose relationships such as public reachability and identity access.
Paperclip vulnerabilities let malicious agent imports reach host command execution through an authorization gap in network deployments and DNS rebinding against local-trusted deployments; additional routes missed expected access checks. The reviewed code in v2026.416.0 contains the import and hostname-validation fixes, although public advisory metadata was not fully aligned and no in-the-wild exploitation was reported.
Pillar Security showed that a public GitHub issue could prompt-inject an ADK triage agent into invoking a privileged code-fixing workflow. Proofs of concept achieved CI-runner code execution and exposed bot and cloud credentials; Google removed three workflows, with no public evidence of in-the-wild exploitation.
Three trust_remote_code bypasses in Hugging Face Diffusers let a crafted model repository execute Python during pipeline loading, including cross-repository, local-snapshot, and time-of-check/time-of-use paths. The affected cases are tracked as CVE-2026-44513, CVE-2026-44827, and CVE-2026-45804; Diffusers 0.38.0 contains the fixes.
OpenAI previews GPT-5.6 Sol, a next-generation model with stronger capabilities in coding, science, and cybersecurity, paired with its most advanced safety stack.
Anthropic evaluation of model performance on exploit-development benchmarks. Relevant to cyber capability measurement, safety thresholds, and model release risk.
NVIDIA AI Red Team post on grammar-constrained decoding for Bash generation in small language models. Relevant to safer command generation and executable-output controls.
Model ML uses GPT-5.6 Sol to carry finance work from research and analysis through editable, traceable PowerPoint decks and Excel workbooks.