Is ChatGPT Safe for Company Data? Plans vs API
Consumer ChatGPT, business plans and the API handle your data differently. Compare control, retention and training defaults, and when a governed API path wins.
AI agent security, identity, governance, cost, and the engineering behind the control plane.
Consumer ChatGPT, business plans and the API handle your data differently. Compare control, retention and training defaults, and when a governed API path wins.
DeepSeek's hosted app and its open weights carry different risks. Learn how to assess each, set a model allow-list, and govern use through a gateway.
ISO 27001 secures information; ISO 42001 governs AI systems. How the two management systems overlap, where 42001 adds AI controls, and when you need both.
Yes. Poisoned training data can plant hidden triggers that survive safety training. Why runtime monitoring and drift detection are the practical backstop.
MCP sampling lets servers call your LLM; elicitation lets them prompt your users. Both open injection and phishing channels. Here are the risks and controls.
MCP servers must not accept or forward tokens issued for another resource. Why passthrough breaks audit and trust, and audience-bound patterns to use instead.
Verify an AI model's provenance by checking a signature over every model file against a trusted signer identity, with OpenSSF model signing and Sigstore.
Multimodal prompt injection hides instructions in images, PDFs and audio that text filters never see. Learn where payloads hide and which controls hold.
NIST IR 8596, the Cyber AI Profile, maps CSF 2.0 outcomes to AI across Secure, Defend and Thwart. What it asks for and how to map it to agent controls.
Permission-aware RAG filters retrieval by the caller's entitlements at query time and logs which chunks reached whom. How to build it for humans and agents.
AI SOC agents read attacker-controlled logs and alerts. Scope their response actions, gate containment behind humans, and audit every autonomous verdict.
Self-hosted LLM servers often ship without auth. A hardening checklist for Ollama and vLLM: network binding, auth, isolation, model provenance and audit.
Slopsquatting is registering package names that AI coding tools hallucinate, so agents install malware. How it works and how to block it with allow-lists.
When an AI agent errs, the company deploying it is usually liable first. How contract, negligence and the new EU Product Liability Directive split the risk.
Zero data retention means a provider stores no prompts or outputs after the request. Learn how ZDR works, where it stops, and how to enforce it.
Run a synthetic signed-audit lab to detect changed records, broken chains, and missing tails with a trusted checkpoint. Learn what verification cannot prove.
Diagnose MCP OAuth failures with a local lab: missing or expired tokens, wrong audiences, insufficient scopes, discovery problems, and issuer mismatches.
What EU AI Act Article 12 record-keeping means for AI agents that call tools: the events to log, who keeps the logs under Articles 19 and 26(6), and how long.
How the EU Cyber Resilience Act's security-by-design, vulnerability handling, and reporting duties apply to AI agent software sold into the EU market.
Workday's domain security model scopes agent access to HR data tightly, but integrations to external HRIS, payroll, and ATS systems fall outside it.
Snowflake's RBAC and row-level policies govern Cortex Agents tightly inside the platform, but external functions and exports fall outside that perimeter.
Joule inherits SAP's authorization objects in-landscape, but regulated estates need an audit trail spanning any system a Joule agent reaches beyond SAP.
Agentforce agents run as a dedicated Salesforce agent user, not the invoking human, so what that user's permission sets grant is the first thing to check.
Copilot agents respect Microsoft Graph permissions by default, but citizen-developer publishing in Copilot Studio outpaces central inventory and review.