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Introduction
About First Recon
Roadmap
Trial
Secure Every AI Interaction
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01 · Company
Secure every AI interaction
Jan 2020 Founded
~500 enterprise customers
$185M+ capital raised
02 · Platform
One platform: the Secure Enterprise AI Workspace.
AI Security Runtime™
Secure Enterprise AI Workspace Approved AI, agents, and company knowledge in one secured workspace.
03 · Solutions
Six solutions run on one security runtime.
AI Security Runtime™
AI Observability Inventory every AI interaction Export security evidence to SIEM Measure adoption and usage
Data Protection Classify data by meaning Redact sensitive content in place Enforce destination policy
Shadow AI Discovery See unsanctioned AI use Allow, block, or redirect access Move users to approved paths
Agent & AI Security Secure prompts and agent actions Control tools, APIs, and MCP access Route exceptions to human review
Cost & Budget Controls Attribute spend by team and project Set budgets and usage policy Route work to approved models
Compliance & Audit Map policy to requirements Preserve decision evidence Report without manual reconstruction
04 · How it works
Inside the AI Security Runtime™
Secure the entry point Secure Enterprise AI Workspace Prompts and agent actions enter one governed path.
Control the path AI Firewall + Gateway Attach identity Normalize requests Control provider access
Understand the interaction Semantic Security Interpret meaning and intent Detect sensitive data Identify threats
Apply the decision Policy Enforcement Allow or redact Route to human review Block unsafe actions
Security Context Graph™ Identity · device · data · destination · history · policy
Release only what policy allows Models, tools, and agents Every decision produces evidence for security operations and audit.
05 · Semantic Security + Context Graph
Meaning and context drive the decision
Semantic Security Understands what the interaction means, intends, and could put at risk Prompts, responses, tool calls, and agent actions Sensitive data, unsafe objectives, and emerging threats How intent changes across a sequence of work
Security Context Graph™ Supplies the business context behind every security decision Who is acting, from which device, and in what role What data is involved and where it is going Applicable policy, history, and prior decisions
Combined in real time Allow, redact, hold for human review, or block
06 · Why semantics matter
Security now has to reason in real time
01 One channel now carries data, instructions, and actions The content can inform a model, change its behavior, and trigger tools at the same time.
02 The same words can be safe or dangerous Identity, task, destination, history, and tool access determine the security outcome.
03 There may be no stable signature to match The same objective can be expressed thousands of ways or emerge across a sequence of steps.
04 Security has to understand the interaction Semantic Security evaluates meaning, context, threats, and risk before the action proceeds.
Traditional controls Recognize known indicators and stable patterns
Semantic Security Reasons about meaning and context in real time
Purpose-trained security AI Only AI trained for this security task can evaluate meaning, context, threats, and actions at the speed of the interaction.
07 · Enforcement
Policy is enforced before content reaches an outside provider
Our security models are hosted in-house. No outside model provider sees a prompt unless the AI Security Runtime™ clears it.
Before the boundary Prompt or agent action Outside providers have not seen the content.
First Recon security boundary Analyze Meaning, intent, data, threats
Contextualize Identity, device, destination, policy
Enforce Allow, redact, review, or block
Our security models run inside First Recon infrastructure.
After the boundary Cleared content only The outside provider receives only what policy allows.
08 · Deployment
Deploy where AI work happens
Secure Enterprise AI Workspace
Where it fits Employees need approved AI now
Best for Chat, agents, knowledge, and collaboration
Rollout Browser and desktop access in hours From Scattered AI toolsTo One secured workspace
Live in hours Browser and desktop access in hours, with baseline policies applied from the start.
09 · Time to value
Security value in hours. Deeper control over time.
Hours Start with 300+ policies Policies are automatically selected and applied for your industry, sector, region, and compliance requirements.
Provision workspace Approve providers Invite users
Days Bring your policy with you AI-assisted import turns existing data and security policies into First Recon policy drafts for your team to review.
Upload policy Connect identity Review and publish
Weeks Broaden coverage Connect company knowledge and broaden coverage across more teams and workflows.
Add knowledge sources Onboard more teams Connect security tools
Ongoing Improve the program Tune controls using adoption, security decisions, spend, and threat evidence.
Refine policy Expand enablement Measure results
Deployment and ongoing technical support are included throughout. First Recon works with your team from initial setup through program expansion.
10 · Secure Enterprise AI Workspace Chat Every major model in one governed chat, secured before content leaves the workspace.
Model choice without security sprawl
11 · Secure Enterprise AI Workspace Cowork Agent Run multi-step work with reusable agents inside the same governed workspace.
Choose the right model for the work
12 · Secure Enterprise AI Workspace Agent Hub Discover, configure, and oversee governed cloud agents and teams.
Govern agents across model providers
13 · Secure Enterprise AI Workspace Knowledge Vector search and RAG retrieve the right approved knowledge at scale for people and agents while preserving source permissions.
Ground every supported model in approved knowledge
14 · Secure Enterprise AI Workspace Team Feed Turn useful AI work into reusable examples that improve team enablement and productivity.
Share what works across every approved model
15 · Security operations
From sprawl to one platform.
16 · Enterprise architecture
Secure AI interactions at the control point
Managed app Many ungoverned browser and desktop tools
Secure Enterprise AI Workspace One approved workspace for chat, agents, and company knowledge.
Connected traffic APIs, MCPs, and agent actions
AI Security Runtime™ Apply policy before the destination and record the decision.
17 · Trial
A 30-day trial, live in hours
30 days Up to 50 users $500 AI credits Full security runtime
Hour 1 Provision Workspace, admins, and baseline policies
Day 1 Invite Trial admins add users and approved providers
Days 1–30 Work Use normal workflows and company knowledge
Weekly Learn Review adoption, security decisions, and coverage
Day 30 Decide Plan the broader deployment
Self-service onboarding Guided setup is available.
18 · Support
Deployment and ongoing technical support are included
Deploy Launch with the team Architecture, setup, policy configuration, and rollout support.
Operate Get help in context First Recon support agent, human ticketing, and in-platform support.
Scale Stay connected Dedicated Slack or Teams channels with a global 24-hour response SLA.
24-hour response SLA Global support · dedicated channels
19 · Enterprise AI Training & Enablement
Build AI capability across the enterprise
First Recon Academy supports business professionals, executives, and technical teams, not only platform users. Content is updated regularly.
Foundational Always free Practitioner Professional Master
6 tracks 34 courses 187 lessons 2 certification exams
AI & Agent Usage for Knowledge Workers 6 courses Agentic Coding & SDLC 6 Agentic Engineering & Agent Management 6 Cybersecurity for AI 6 First Recon Platform 7 + certification Identity for Agents 3 + certification
20 · The transformation
From AI sprawl to one secured platform
Before Employees and security teams manage separate AI tools Each AI app and security product adds another policy, data path, evidence store, and operating layer.
Secure every AI interaction
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