With Bold, Every Endpoint Becomes Its Own Line of Defense
On-device AI
Zero policy config
No cloud round trips
Real-time prevention
Attention is returning to the endpoint.
In the AI era, the endpoint is where work actually happens: a bridge into critical environments and an open door to the outside world.
AI is creating new ways for data to leave the device: every new tool, agent, and connection is another exit your existing controls can't see.
Network, cloud, and browser tools lose visibility the moment data hits the device, leaving enterprises blind exactly where it matters.
Securing the Modern Endpoint with Bold
Complete visibility of every data interaction
Bold runs on the endpoint, monitoring every file, application, account, and data interaction on the device. No API gaps, no blind spots, including the desktop apps network tools can't see.
AI data classification and lineage
Bold's on-device small language models classify data by meaning, not regex — including proprietary data and custom types. It traces full lineage from creation and reads the process tree to tell human activity from AI agent.
Real-time policy enforcement
Bold enforces policy in the moment — coaching or blocking — at the moment of action, before data leaves the device. Behavioral signals plus data context mean the right call every time, without disrupting legitimate work.
One shared context, full evidence
Close any incident in minutes with full data lineage and behavioral context — where data came from, how it changed, who moved it, and where it went. One shared context across every signal.
Enterprise-ready integrations
How Bold's different
Acts at the source, not from the cloud
Cloud and browser tools watch from a distance and flag risk after it's gone. Bold runs on the device, blocking or coaching in the moment, even offline.
Reads risk context, not just patterns
Other tools see the data. Bold reads the behavior and intent behind every action, so it knows the difference between real work and real risk.
Live and learning in minutes, not months
Other tools take baseline periods, policy tuning, and professional services. Bold's pre-trained models classify the moment they deploy, with no tuning ever.
Use cases
Real-time data protection on the endpoint
Endpoint DLP
Replace the noise and manual tuning of legacy DLP with semantic classification that understands data by meaning and real-time enforcement that coaches before it blocks. For teams drowning in false positives and spending more time tuning policy than stopping real risk.
AI Usage Control
See every AI tool and data interaction on the device including human prompts and autonomous agents. Detect shadow AI, coach users toward approved tools, and block sensitive data from entering unmanaged tools or accounts. For teams rolling out enterprise AI who need guardrails, not blanket bans.
Data UEBA
Full endpoint visibility and control over how people interact with sensitive data. Behavioral signals plus data context collapse investigations from days to minutes. For teams that need faster, more complete investigations, or want to stop insider risk before it becomes an incident in the first place.
