Detect insider threats before they become security incidents
77% of organizations lost data to insiders in the past 18 months. If you have no detection in place, you wouldn't know if you were one of them. Presence learns what normal looks like for every user, then flags what's not. Deploys via Microsoft Entra ID in 10 minutes. Fully automated with Behavioral AI.
Behavioral AI
Privacy-First
Fully Automated
1000+ customers trust us with their human risk management. You can too.
77% of organizations experienced insider-driven data loss in the past 18 months
Traditional tools require security analysts
Most IT teams don't have dedicated SOCs or analysts to write rules and investigate alerts
Compromised accounts look legitimate
Attackers using valid credentials bypass traditional security tools
Most organizations discover threats too late
The average insider incident takes 67 days to contain
“Talent acquisition as a global STEMx workforce solutions provider is challenging and competitive. Our data is stored and managed within a secure environment ensuring data integrity and compliance. The industry naturally has a high turnover of staff and this is identified as a challenging area to maintain oversight of, as scrolling through Azure logs every time we need visibility on user activity takes resource we don’t have available. Presence solved that for us. It automatically detects suspicious behaviour and gives us the visibility we need without constant manual oversight. Within the first few weeks we were already seeing alerts that would have otherwise gone unnoticed as the system learns what is usual and unusual behaviour for our environment.”
Carrie Sheen, IT Operations Director
Auxo Talent
How Presence Differs from Traditional Detection
Behavioral AI baselines
Learns what's normal for each user - access patterns, timing, location, file activity. Flags meaningful deviations automatically.
Contextual alerts
Low-noise alerts that explain what happened, why it matters, and what to do. No endless false positives requiring analyst triage which cause fatigue.
Low-risk event tracking
Small exposures like passwords in shared documents build up quietly and go unnoticed until they're exploited.
Canaries catch compromised accounts
Realistic-looking emails planted automatically in every admin's Outlook. If an attacker clicks a canary link, you're alerted immediately.
Detection that works without security analysts
| Feature | Why This Matters | What You Get |
|---|---|---|
| Behavioral AI baselines | Traditional detection requires writing rules for every scenario - an impossible task for lean teams. Threats evolve faster than you can write rules. | AI learns normal patterns for each user automatically. Deviations flagged without configuration, rules, or analysts. |
| Covers all threat types | Malicious insiders exfiltrating data, compromised accounts used by attackers, and accidental insiders creating risk all look different - manual tools can't catch them all | Comprehensive coverage across all insider threat scenarios. One platform detects intentional, compromised, and accidental threats |
| Detects unusual access patterns | Departing employees downloading files, unusual login times, access from unfamiliar locations - all signals of compromise that traditional tools miss | Automatic detection of access anomalies. Departing employees, compromised accounts, and unusual activity flagged before damage occurs. |
| Low-risk event tracking | Everyday actions - storing passwords in shared documents, downloading unsafe content, using work emails for personal services - create small security gaps that attackers exploit. Traditional tools don't surface these | 7-day view of low-risk events that have introduced exposure. Quick chats or minor policy tweaks become easy opportunities to tighten security before issues grow |
| Canaries for admin accounts | Admin accounts are natural targets for attackers. If compromised, attackers comb through emails for links or attachments to gain more access. You won't know until they've already moved laterally | Realistic-looking emails planted automatically in every admin's Outlook. If compromised credentials click a canary link, you're alerted immediately - catching attackers at first contact |
| 10-minute deployment via Microsoft Entra ID | Lean IT teams don't have months for security projects. Most detection tools require months of configuration and tuning | Direct integration with existing identity management. Live detection in under 10 minutes with zero agents or rules to configure |
| Cloud-native detection | Traditional tools were built for on-premises environments. Cloud work means data lives in Microsoft 365, SaaS tools - where most IT teams have no visibility | Integrates directly with Microsoft 365 and tools like HubSpot and GitHub. Visibility across key systems without agents or complex deployment |
| Privacy-first design | Employee surveillance tools create legal risk and erode trust. You need to detect account misuse, not monitor productivity | Focuses on behavior that signals misuse - unusual access, file downloads, external sharing. No email content, no productivity metrics, no surveillance |
| Contextual alerts | Traditional SIEM tools generate thousands of alerts requiring analyst triage. Lean teams can't afford to investigate 100 alerts per day | Low-noise alerts that explain what happened, why it's unusual, and what to do. Actionable warnings, not generic security events |
| No analysts required | Enterprise detection tools assume you have a SOC team to write rules, tune alerts, and investigate incidents. Lean teams don't have this luxury | Zero analyst overhead. Behavioral AI handles detection automatically. Alerts come ready to act on, not requiring investigation |
| Feature | Behavioral AI baselines | Covers all threat types | Detects unusual access patterns | Low-risk event tracking | Canaries for admin accounts | 10-minute deployment via Microsoft Entra ID | Cloud-native detection | Privacy-first design | Contextual alerts | No analysts required |
|---|---|---|---|---|---|---|---|---|---|---|
| Why This Matters | Traditional detection requires writing rules for every scenario - an impossible task for lean teams. Threats evolve faster than you can write rules. | Malicious insiders exfiltrating data, compromised accounts used by attackers, and accidental insiders creating risk all look different - manual tools can't catch them all | Departing employees downloading files, unusual login times, access from unfamiliar locations - all signals of compromise that traditional tools miss | Everyday actions - storing passwords in shared documents, downloading unsafe content, using work emails for personal services - create small security gaps that attackers exploit. Traditional tools don't surface these | Admin accounts are natural targets for attackers. If compromised, attackers comb through emails for links or attachments to gain more access. You won't know until they've already moved laterally | Lean IT teams don't have months for security projects. Most detection tools require months of configuration and tuning | Traditional tools were built for on-premises environments. Cloud work means data lives in Microsoft 365, SaaS tools - where most IT teams have no visibility | Employee surveillance tools create legal risk and erode trust. You need to detect account misuse, not monitor productivity | Traditional SIEM tools generate thousands of alerts requiring analyst triage. Lean teams can't afford to investigate 100 alerts per day | Enterprise detection tools assume you have a SOC team to write rules, tune alerts, and investigate incidents. Lean teams don't have this luxury |
| What You Get | AI learns normal patterns for each user automatically. Deviations flagged without configuration, rules, or analysts. | Comprehensive coverage across all insider threat scenarios. One platform detects intentional, compromised, and accidental threats | Automatic detection of access anomalies. Departing employees, compromised accounts, and unusual activity flagged before damage occurs. | 7-day view of low-risk events that have introduced exposure. Quick chats or minor policy tweaks become easy opportunities to tighten security before issues grow | Realistic-looking emails planted automatically in every admin's Outlook. If compromised credentials click a canary link, you're alerted immediately - catching attackers at first contact | Direct integration with existing identity management. Live detection in under 10 minutes with zero agents or rules to configure | Integrates directly with Microsoft 365 and tools like HubSpot and GitHub. Visibility across key systems without agents or complex deployment | Focuses on behavior that signals misuse - unusual access, file downloads, external sharing. No email content, no productivity metrics, no surveillance | Low-noise alerts that explain what happened, why it's unusual, and what to do. Actionable warnings, not generic security events | Zero analyst overhead. Behavioral AI handles detection automatically. Alerts come ready to act on, not requiring investigation |
Stop insider threats before they become breaches
Detect threats across your cloud environment without security analysts, manual rules, or false positives.
Book your 15-minute demo with one of our product specialists to see how Presence can work in your environment.