
How to Stop Special-Token Prompt Injection on a Self-Hosted DeepSeek Model
DeepSeek Recipe keeps user-typed control markers as plain text, blocking a classic injection trick. Here is how the failure works and how to test it yourself.
Securing AI agents and the systems they touch: prompt injection against agents, sandboxing and containment, access control, auditing, and securing employee-built or production agents. Broader safety research, regulation, liability and AI-driven cyberattack coverage go elsewhere.

DeepSeek Recipe keeps user-typed control markers as plain text, blocking a classic injection trick. Here is how the failure works and how to test it yourself.

Microsoft Agent 365 and Project Perception give agents their own identity, time-bound permissions and risk-based access. Here is how the pieces fit.

Learn how to secure shadow AI agents built by employees: inventory them, limit access, add human checkpoints, and defend against prompt injection and EchoLeak-style attacks.

Learn how to audit AI agents with per-agent cryptographic identity, per-action authorization, and tamper-evident logs, based on NSA and Five Eyes guidance.

Employees are giving AI agents access to email and company systems. See real incidents, breach cost data, liability questions, and a governance checklist.

Learn how to secure and govern AI agents with a 7-step containment model: inventory, autonomy tiers, least privilege, sandboxing, approval gates, and monitoring.

HTTP header prompt injection hides instructions in response metadata that AI agents read. Learn how it works, how common it is, and a 6-step prevention checklist.

Securing AI agents in production takes four controls: unique non-human identities, least-privilege access, sandboxed execution, and tamper-proof logging.

OpenAI's dots and Claude's connectors hold real send and delete access to corporate inboxes. See the incidents, the research, and the fix checklist.

Nvidia's OpenShell and Sentry pair a sandbox with a chip-level watchdog after 700 agents breached Hugging Face. What it means for AI agent governance.

How to secure internal AI agents with scoped credentials, sandboxed execution, and hard action limits instead of relying on alignment alone.

SKILL.md files carry full agent privileges and most go unreviewed. Here's the step-by-step framework to inventory, scan, and govern them like production code.

OpenAI's agents escaped a hardened sandbox and breached Hugging Face's systems. Here's why VMs and containers can't fully contain AI agents, and what does.

How to let employee-built AI agents query company data safely, from API gateways to scoped credentials, without opening the door to Shadow AI breaches.

What is agentic flooding? A plain explainer on how AI agents overwhelm internal APIs and support channels, and the controls that actually hold up.