AI Security

34 posts tagged #ai-security

34 posts on AI Security, spread across AI Agent Architecture & Frameworks (10), AI Security & Safety (6), Local LLM Hardware (4) — most read: “DeepMind AlphaProof Code: What It Really Proved on Signal” and “AI Coding Agent Full IDE Access: 5 Ways It Breaks”.

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DeepMind AlphaProof Code: What It Really Proved on Signal

DeepMind's AlphaProof Code used Gemini-powered agents and 6M lines of Lean to verify Signal's protocol. Here's what was actually proven — and the 'zero bugs' claim it wasn't.

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AI Coding Agent Full IDE Access: 5 Ways It Breaks

Giving an AI coding agent full IDE access sounds efficient until it expands scope, cascades refactors, and leaks data. Here are the five failure modes and a permission-tiering model that actually holds.

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Docker Alternative for AI Agent Sandboxes: 3 Compared

Docker alone doesn't scope an AI coding agent's files, network, or tool calls. Here's how NVIDIA OpenShell, Anthropic sandbox-runtime, and Docker Sandboxes compare — and the factual error circulating about OpenShell's architecture.

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Uncensored Local LLMs: Abliteration Explained

Cut through the viral "forbidden AI" hype. Here's how abliteration strips refusals, whether running an uncensored local LLM is legal, and how to run one with Ollama.

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Local LLM Privacy Risk: What Your Setup Leaks

Two viral videos claim your local AI isn't private. I ran packet captures on Ollama to verify the three real leak vectors: open APIs, 0.0.0.0 binding, and client telemetry.

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DeepSeek Banned From US Federal Agencies: The DHS Order

A DHS order made public on Oct 19, 2026 bans DeepSeek from every federal civilian agency. Here's what the order actually says, the open-weights gray zone, and how to audit your own stack for foreign AI model dependencies.

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Anthropic Warns AI Models Could Soon Self-Replicate

Anthropic warns AI models could soon copy themselves onto small devices without a data center. Here's what 'self-replication' actually tests for, and how worried you should be.

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Ban Artificial Superintelligence Act: 20 Years in Prison

Sanders and Casar's Ban Artificial Superintelligence Act would jail AI executives for up to 20 years and pause frontier development. Here's what it actually says.

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How to Detect AI-Generated Bug Bounty Reports

A maintainer-first playbook to score report quality, spot LLM-written spam, add proof-of-work friction, rate-limit intake on GitHub, and reproduce safely in a sandbox.

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How to Ship EU AI Act Compliance for AI Agents

A shippable, vendor-neutral evidence pack for AI agents: run logs, tool approvals, guardrail configs, retention/redaction, and an audit export you can produce in days.

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MCP vs Function Calling in Agents: When to Say No

MCP backlash is real. Here’s my decision framework for when to use MCP vs function calling in agents, and when a bespoke tool API beats both on ops, security, and debugging.

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How to Add Kill Switches and Spend Limits to AI Agents

A software-only watchdog pattern for AI agents: a single enforcement point for kill switches, per-tool budgets, approval gates, and tamper-evident audit logs.

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MCP OAuth Security: Impersonation, aud Mismatch, Replay

A threat model for MCP tool servers using OAuth: how tool impersonation and audience mismatch happen, how tokens get replayed, and what to validate and log.

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How to Stop Repo Prompt Injection in Coding Agents

Repo-level prompt injection turns “clone and ask the agent” into a supply-chain compromise. Here’s the threat model, a safe demo, and practical mitigations.

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MCP Server Security Best Practices: Checklist + CI Linter

A practical MCP server security test plan: authn/authz models, tool allowlists, prompt-injection regression tests, rate limits, audit logs, and a CI-friendly permissions linter.

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RatHat Android Malware “AI-Powered” Claims: What to Detect

RatHat is getting labeled “AI-powered,” but the real story is the Android stealer kill chain: accessibility abuse, permission traps, and noisy C2 loops you can actually detect.

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How to Secure Local LLM Inference: Sandbox + Egress

A practical blueprint for secure local LLM inference: sandbox inference hard, default-deny outbound network, stage allowlisted downloads, scan artifacts, and isolate tools.

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AI Agent Swarm Patterns 2026: Topologies and Failure Modes

AI agent swarm coordination patterns decide whether your multi-agent system converges or spirals. Here are the topologies, stop conditions, budget caps, and failure modes most teams don’t test in 2026.

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How to Implement OWASP Agentic Top 10 Controls

A control-by-control guide to OWASP agentic top 10 controls: where to gate tool calls (MCP/client/server), what to log, what to block, and what belongs in CI vs runtime.

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AI Code Review Checklist: How to Review AI-Generated Code

AI makes code cheap. Verification is the new tax. Here’s a practical workflow, checklist, and ‘delete & redo’ rubric to keep PRs fast and safe in 2026.

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LLM Data Leakage Playbook: Logging, Retention, Redaction

A practitioner playbook for preventing data leakage in LLM apps by hardening logging, retention, and redaction across the entire prompt→tools→model→observability path, with audit-ready evidence you can hand to compliance.

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AI Security Playbook for Leaders: 10 Controls That Ship

A practical AI security leader playbook you can implement this quarter: inventory, approval gates, agent threat modeling, OWASP LLM Top 10 controls, vendor review, and incident response.

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RAG Data Leakage Test Suite: CI Red-Team Setup

Build an automated red-team suite for RAG apps: canary tokens, regex + similarity detectors, multi-step prompt-injection attacks, and a CI risk score that blocks risky merges.

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AI Agent Sandbox on a Linux VM: Safe Tool Use, No K8s

If your coding agent can run `git`, `pip`, or a shell, it deserves its own disposable Linux VM. Default-deny egress, snapshot rollback, scoped secrets, and per-run audit bundles. No Kubernetes required.

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Claude Code Security: Risks, Safe Setup, Team Policy

Claude Code is safe only if you treat it like a junior engineer with terminal access. Here’s the 2026 playbook: permissions, sandboxing, egress controls, MCP allowlists, retention settings, and incident response.

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AI Agent Memory Exfiltration: Kill Chain + 5-Step Hardening

A proof-of-concept showed Claude's memory could be silently exfiltrated to an attacker's server with no user warning. Here's the full kill chain, which memory architectures are vulnerable, and a 5-step hardening checklist grounded in OWASP LLM Top 10 2025.

AI Voice Detector: Detect AI Audio & Speech [2026] Technology

AI Voice Detector: How to Detect AI-Generated Audio

62% of organizations told Gartner in 2025 that they had faced a deepfake attack in the previous 12 months. Here's how AI voice detectors work, 5 tools compared, how to test a detector on your own audio, and how to spot synthetic speech by ear.

The Complete Guide to AI Security in 2026 Cybersecurity

AI and LLM Security: Every Major Threat Vector Mapped

AI and LLM security spans prompt injection, supply chain attacks, agent control flow vulnerabilities, and model misuse. This guide maps every major threat vector and links to in-depth breakdowns so you can defend your AI systems today.

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AI Agent Attack Surface Map and Security Checklist

The first developer-friendly attack surface map combining OWASP's Top 10 for Agentic Applications, Cisco's MemoryTrap disclosure, and June 2026 red-teaming benchmarks showing 70% attack success rates — with a printable security checklist.

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Advanced Prompt Injection Techniques 2026: 7 Attack Chains Beyond OWASP #1

Prompt injection graduated from academic curiosity to active exploit — with CVEs filed against GitHub Copilot, Claude Code, Cursor, and AWS Kiro in a single month. Here are the 7 advanced attack chains researchers are tracking and the only defense architecture with provable security.

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