Compare · 22 comparisons
AI security comparisons and the identity categories behind them
Side-by-side answers for the categories buyers weigh against each other: what each one covers, where they overlap, and when you need both. Each page opens with a short verdict, then a comparison table and the details.
AI security · 17
- Agentic AI Security vs LLM Security: Why Securing the Model Is Not Securing the AgentLLM security protects a model's inputs and outputs: prompt injection, jailbreaks, unsafe responses, and data leakage.
- AI Usage Control vs CASB and SWG: What Each One SeesA secure web gateway controls the network path and a CASB controls sanctioned cloud apps through their APIs and traffic.
- AI-SPM vs DSPM: Start With the Risk You Need to SeeAI-SPM starts with AI systems and their exposure.
- AI gateway vs AI firewall: The API path is only part of AI useAn AI gateway controls how applications reach model APIs.
- Prompt injection vs jailbreaking: Which boundary is at risk?Prompt injection redirects an AI application away from its intended task.
- AI DLP vs Traditional DLP: Protect the Data Before SendTraditional DLP protects sensitive data across email, network traffic and endpoint activity.
- MCP vs A2A: Tool Access and Agent Delegation Need Different ControlsMCP connects AI applications to tools and data.
- ChatGPT Enterprise vs personal ChatGPT accounts: The account decidesChatGPT Enterprise gives organizations a managed workspace for work use.
- AI-SPM vs AI runtime security: Exposure meets actionAI-SPM helps you reduce what AI could access or do before use.
- AIDR vs EDR: Secure the Agent and the LaptopEDR investigates threats on the laptop.
- AIDR vs ITDR: AI Actions Need Identity ContextAIDR focuses on threats involving AI use and agent actions.
- AI Red Teaming vs Penetration Testing: Test Behavior and BoundariesAI red teaming tests whether an AI system can be steered into unsafe behavior.
- AI Governance vs AI Security: Turn Policy Into ProtectionAI governance decides which AI uses are acceptable and who is accountable.
- Shadow AI vs Shadow IT: Approved Apps Can Hide Unapproved UseShadow IT is technology used outside organizational approval or oversight.
- AI Usage Control vs Enterprise Browser: Choose Your ScopeAn enterprise browser makes a managed browser the workspace for controlled web access.
- AI Agent Identities vs Service Accounts: Access Needs an OwnerA service account gives software an identity for access.
- Browser Extension vs Endpoint Agent: Cover the Whole AI WorkflowA browser extension brings AI security into browser sessions, accounts and prompts.
Identity security · 5
- ITDR vs ISPM: Detection and Posture Are Different JobsITDR detects and responds to identity attacks while they are happening.
- ISPM vs CIEM: What Is the Difference, and Do You Need Both?CIEM manages entitlements for identities inside cloud infrastructure: AWS, Azure, and GCP permissions, roles, and policies.
- NHI Security vs Secrets Management: Is a Vault Enough?No, a secrets manager alone is not enough.
- Machine Identity vs Workload Identity: The Category and Its Cloud-Native SubsetMachine identity is the broader category: every non-human entity that authenticates, including devices, servers, services, and bots.
- Enterprise Browser vs SWG and SASE: Network Path or Last Mile?A secure web gateway (SWG), usually delivered inside a SASE platform, filters traffic on the network path between users and the web.
Looking for a single term? The AI security glossary defines each category on its own. Go deeper: AI security, built on identity.