- Task
Summarize a vendor document
- Agent action
Reads hidden text in the document as an instruction
- Exposure
The agent attempts an unauthorized action
- Business impact
Company systems change without authorization
Semantic Security covers data, threats, and agent behavior
Sensitive data
Recognizes financial, legal, health, source-code, and credential data by meaning.
AI threats
Detects prompt injection, manipulation, jailbreaks, and unsafe intent as interactions unfold.
Agent behavior
Evaluates tool use, destinations, and multi-step actions in context.
Security decisions
Allows, redacts, holds for human-in-the-loop review, or blocks.
Traditional DLP and regex matching are not fit for AI
Traditional DLP and regex patterns recognize fixed signatures. AI threats change their wording, hide inside legitimate work, and move at machine speed, and the same words can be safe or dangerous depending on context.
Traditional controlsMatch known indicators and stable patterns
Built for files, email, and networks
Semantic SecurityReasons about meaning, intent, and behavior
Built for prompts, responses, and agent actions
An authorized task is not a safe task
An agent can follow an authorized task and still create a security threat. One routine task shows the difference, and the decision draws on the Security Context Graph™: the organizational context behind every check.
- Task
Summarize a vendor document
- Agent action
Reads hidden text in the document as an instruction
- Semantic Security
Detects an instruction embedded in untrusted content
- Secured outcome
Blocks the instruction; the original task continues
Every decision makes the next one sharper
Threat and sensitive-data detection grows more accurate as your organization uses AI and connects its data. Every governed chat, agent run, and connected source adds context to the Security Context Graph™.
Security sharpens
as adoption grows
as adoption grows
- 01 · Governed workAI work + company knowledgeEvery chat, agent action, and knowledge query runs governed
- 02 · ContextSecurity Context Graph™Every decision and detection is recorded as organizational context
- 03 · UnderstandingSemantic SecurityRicher context sharpens the next threat and sensitive-data decision
300+ policies included from day one
Every account starts covered: 300+ out of the box policies for your industry, sector, geography, and compliance frameworks, ready to tailor to your own environment.
Out-of-the-box coverage
Policies and security classifications align to the environment in which you operate.
Your organizational context
Connect identities, devices, data sources, destinations, and internal security policies.
Relevant decision history
Approved exceptions and prior reviewer actions remain available as context for future security decisions.
How Semantic Security runs
| Protection point | Inline on governed routes, before data leaves or an agent action executes |
|---|---|
| Security analysis | Context-aware analysis of threats, sensitive data, intent, and agent behavior |
| Enforcement | Allow, redact, hold for human-in-the-loop review, or block through policy |
| Hosting | Semantic Security models are built and hosted in-house by First Recon AI |
| Provider boundary | External destination models receive an interaction only after runtime policy permits release |
| Human review | Held interactions surface to a reviewer with identity, timing, policy, and detection context |
| Privacy | Prompt and response bodies are not retained as a training corpus |
| Evidence | Policy, decision, reviewer action, and timing are recorded for security operations and audit |
