With Bold, every endpoint becomes its own line of defense
The modern way to protect the enterprise endpoint from user-based risk - across any data, any app, any user, and any action. Bold’s native AI security agent runs directly on every endpoint, bringing the power of real-time AI visibility and protection to the edge.
on-device
Config
Round-trip latency
Prevention
Attention is returning to the endpoint.
Protecting data in the modern workforce means acting where it lives and moves — on the endpoint, in real time.
The new front line
In the AI era, the endpoint is where work actually happens: a bridge into critical environments and an open door to the outside world.
The new exit
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.
The blind spot
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
Bold runs AI locally to understand data, analyze intention, and prevent risk in real time.
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.
How Bold's different
The power to actually
prevent
Other tools detect; Bold prevents. It blocks or coaches risky actions the instant they happen, before data ever leaves the device.
AI classification that reasons
Bold's AI understands what data actually is not just the PII and patterns regex can catch. Fewer false positives, zero rules to write.
Works out of the box,
no tuning
Deploys in minutes. Pre-trained models classify immediately — no baseline period, no policy tuning, no professional services.
