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Kanal postlari
| 2 | https://medium.com/@taleliyahu/ai-red-teaming-will-need-qualified-human-pentester-6a0beecd2aa0
The tool will not be enough.
AI red teaming is becoming one of the default rituals of enterprise AI security. That sounds like progress. It is progress. But the industry is already making the mistake we always make when a new control category appears: we turn a hard assurance problem into a tool problem.
That is not where this ends. | 202 |
| 3 | CVE-2026-55837: dbt MCP Server OAuth context endpoint leaks dbt Platform tokens
The advisory describes a local OAuth helper FastAPI server in dbt-mcp exposing GET /dbtplatformcontext without authentication or host/origin validation, allowing retrieval of dbt Platform tokens via that endpoint.
#MCP #AgentSecurity #AISecurity #Advisory
https://github.com/advisories/GHSA-jr33-mw75-7j8f | 230 |
| 4 | AutoJack: Web Page Hijacks an AI Browsing Agent to Reach Host Code Execution
Reported exploit chain: a single attacker-controlled page can use JavaScript to cross the browser/agent trust boundary by talking to a privileged local service and spawning a host process, after the user merely steers the agent to that page.
#AgentSecurity #LLMSecurity #AISecurity #News
https://thehackernews.com/2026/06/autojack-attack-lets-one-web-page.html | 223 |
| 5 | A Red-Teaming framework for safety evaluation of LLMs specialized in the financial sector
https://arxiv.org/abs/2606.19887v1 | 214 |
| 6 | gdm-ai-control-roadmap.pdf | 273 |
| 7 | Securing the future of AI agents - https://storage.googleapis.com/deepmind-media/DeepMind.com/Blog/securing-the-future-of-ai-agents/gdm-ai-control-roadmap.pdf | https://deepmind.google/blog/securing-the-future-of-ai-agents/ | 265 |
| 8 | CVE-2026-0755: gemini-mcp-tool OS command injection and @file exfiltration via prompt quoting
The advisory describes a trust-boundary failure where untrusted prompt text is interpreted by the Gemini CLI as @file includes (reading local files), and on Windows can be parsed by cmd.exe when quoting is missing, enabling metacharacter-based command injection.
#MCP #AgentSecurity #AISecurity #Advisory
https://github.com/advisories/GHSA-4h5r-5jm8-jxjm | 279 |
| 9 | Defensive Misdirection Against Model-Guided Automated Attacks on Agentic AI Systems
The paper models an attacker using automated judges and search to refine jailbreak prompts, arguing that predictable detect-and-block refusals can become a feedback signal as query budget grows. It evaluates a detect-and-misdirect strategy that returns safe but intentionally misleading outputs to degrade the attacker judge and bound asymptotic success rates.
#AgentSecurity #LLMSecurity #AISecurity #Research
https://arxiv.org/abs/2606.20470 | 243 |
| 10 | NRT-Bench: multi-turn red-teaming benchmark for LLM agents in a safety-critical control-room simulation
NRT-Bench evaluates LLM “operator” agents under adaptive, multi-turn message injection where failure is measured by objective loss of a critical safety function, not LLM-judged text. Results suggest robustness is model- and defense-stack-dependent, with largely non-overlapping failure cases across tested models.
#PromptInjection #LLMSecurity #AISecurity #Research
https://arxiv.org/abs/2606.20408 | 220 |
| 11 | Layered Security Framework Against Prompt Injection in RAG Chatbots
This paper proposes a 3-layer RAG defense that gates user input, enforces an instruction/provenance hierarchy during context assembly so retrieved text can’t override policy, and audits outputs with rules plus semantic-drift checks, with a feedback loop from structured logs.
#PromptInjection #LLMSecurity #AISecurity #Research
https://arxiv.org/abs/2606.19660 | 212 |
| 12 | Matn yo'q... | 227 |
| 13 | Matn yo'q... | 244 |
| 14 | Matn yo'q... | 46 |
| 15 | Already posted — ▉ | 1 |
| 16 | Matn yo'q... | 46 |
| 17 | All 9 items posted to AISecHub. One ▉ | 1 |
| 18 | Matn yo'q... | 45 |
| 19 | AI-Accelerated Vulnerability Discovery and Patch Debt
The piece frames a scaling mismatch: AI-assisted vulnerability discovery can increase finding throughput faster than organizations can validate, prioritize, and deploy fixes, expanding "patch debt" as an operational bottleneck rather than a purely technical one.
#VulnerabilityResearch #AppSec #AISecurity #Report
https://labs.cloudsecurityalliance.org/research/ai-accelerated-vuln-discovery-systemic-patch-debt-v1-0-csa-s | 257 |
| 20 | Last one timed out — retrying. ▉ | 1 |
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