Insider Risk Management Distributed by Cyberdis Insider risk management that reads behavior - surfacing risky intent across endpoints and AI assistants before data leaves the business.
Cyberdis is a value-added distributor of Predict Security, selling through channel partners with engineer-led evaluation, deployment and support.
What it does
Predict Security in short.
Predict Security is an insider risk management platform that watches workforce behavior across endpoints and surfaces risky intent before data leaves the business. It observes activity where work actually happens - browsers, desktop applications, internal tools and AI assistants - and converts isolated actions into behavioral patterns that reveal context and intent, reported in plain language rather than abstract risk scores.
Its behavioral DLP classifies data by how it is being used, governs shadow-AI usage including delegation to AI agents, and responds in proportion to the risk: coaching an employee whose behavior is drifting, blocking an exfiltration in progress. Privacy is designed in rather than bolted on - employees are pseudonymous by default, sensitive evidence is filtered locally on the endpoint, and revealing an identity requires dual approval.
Insider risk is the gap between what your controls allow and what your people intend. Pattern-matching DLP fires late and drowns teams in false positives; Predict Security reads the behavior around the data instead - and now that AI assistants act as insiders too, the same behavioral lens covers them as well.
Capabilities
What you get.
-
Behavioral intent analysis
Converts isolated user actions into behavioral patterns that reveal context and intent - reported in plain language, not abstract risk scores.
-
Context-aware behavioral DLP
Classifies data by how it is being used, not just what it matches - catching real exfiltration paths without drowning the team in false positives.
-
Shadow-AI governance
Monitors AI-assistant usage and agent delegation across corporate and personal tools - visibility into the newest kind of insider.
-
Graduated response
Interventions scale with the risk trajectory, from a coaching nudge for behavioral drift to a hard block on data leaving the business.
-
Privacy by design
Employees are pseudonymous by default, sensitive evidence is filtered locally on the endpoint, and revealing an identity requires dual approval.
Why through Cyberdis
The vendor is theirs. The deployment is ours.
- 01
A PoC that respects the workforce
Insider-risk programs live or die on employee trust. We design the pilot with the privacy controls configured from day one, so legal and HR sign off early instead of blocking late.
- 02
Baselines tuned by engineers
Cyberdis engineers tune behavioral baselines to the customer environment and hand over a working program - not a console full of unreviewed alerts.
- 03
The conversation every board is asking for
Shadow AI and insider risk are on every board agenda. We arm partners with the positioning against legacy DLP and stay in the deal for the hard questions.
FAQ
Frequently asked questions about Predict Security
What is Predict Security?
Predict Security is an insider risk management platform that observes workforce behavior across browsers, desktop applications, internal tools and AI assistants, converts actions into behavioral patterns that reveal intent, and intervenes in proportion - from coaching to blocking.
How does Predict Security protect employee privacy?
Privacy is built into the architecture: employees are pseudonymous by default, sensitive evidence is filtered locally on the endpoint, and revealing an individual’s identity requires dual approval.
Does Predict Security cover AI assistants?
Yes. The platform monitors shadow-AI adoption and delegation to AI agents across corporate and personal tools, applying the same behavioral analysis to machine-driven activity as to human activity.
Who distributes Predict Security?
Cyberdis is a value-added distributor of Predict Security, selling through channel partners and resellers with pre-sales engineering, proof-of-concept execution, deployment and post-sale support included.
Weighing approaches? Read: Behavioral insider risk management vs rule-based DLP: read the intent, or match the pattern?
New to the category? Start with: What is insider risk management?What is shadow AI?What is behavioral DLP?
See it running
See Predict Security on your own terms.
A demo tailored to your environment, or a full proof of concept - run by a Cyberdis engineer.
End customer rather than reseller? Ask anyway: we bring the right partner into the deal and stay on it as the engineering team.