AI-Powered Identity Threat Detection & Response

Attackers Don't
Hack In Anymore.
They Log In.

itdr.ms spots compromised credentials, privilege escalation, and identity-based attacks in real time — then contains them before they become breaches. Detection and response at the layer where modern attacks actually begin.

0% Breaches involve identity
0 Mean time to baseline
0% Reduction in false positives
0 Automated response time
Behavioral Baselining
Credential Compromise Detection
Privilege Escalation Alerts
AI Agent Anomaly Detection
Automated Response Playbooks
MITRE ATT&CK Mapping
Non-Human Identity Coverage
Machine Speed Containment
Zero Trust Enforcement
Impossible Travel Detection
Behavioral Baselining
Credential Compromise Detection
Privilege Escalation Alerts
AI Agent Anomaly Detection
Automated Response Playbooks
MITRE ATT&CK Mapping
Non-Human Identity Coverage
Machine Speed Containment
Zero Trust Enforcement
Impossible Travel Detection
The Blind Spot

Your Endpoint and Network Tools
Can't See This Attack

The modern breach starts with a valid credential — used by someone who isn't who they claim to be. Nothing malicious runs. The traffic looks legitimate. Traditional tools are blind by design.

Endpoints See Nothing

When attackers use valid credentials, no malicious code executes. Endpoint detection and response tools have nothing to flag — the attack is invisible at the host layer.

Network Traffic Looks Legitimate

Authentication and access traffic from compromised credentials is indistinguishable from normal traffic at the network layer. No anomalous signatures to catch.

SIEMs Drown in Log Noise

Generic rules fire on volume, not behavior. Authentication logs contain real attacks buried inside millions of legitimate events — and most SOC teams never find them in time.

Detection & Response

Built for the Identity Layer — Where Attacks Actually Live

itdr.ms continuously analyzes authentication events, access patterns, and privilege changes across your identity providers, directories, and cloud platforms. It learns the behavioral baseline of every identity — human, service account, and AI agent — then surfaces the deviations that matter.

When a threat is confirmed, automated response executes in seconds: revoke the session, force re-authentication, suspend the account, quarantine the agent.

  • Impossible travel and session anomaly detection
  • Dormant account activation and lateral movement
  • Privilege escalation via nested groups or delegation
  • AI agent behavior outside declared purpose
  • Machine-speed containment with one-click approval
j.morrison@corp.com Auth from Lagos — 3h after NY login · impossible travel
Threat
svc-billing-prod Global Admin role added · first privilege change in 14mo
Escalation
agent:finance-copilot Accessed HR payroll store · outside declared scope
Agent Anomaly
k.patel@corp.com Normal auth pattern · London · 09:14 local
Normal
dormantsvc-legacy First auth in 11 months · watching
Watching
Capabilities

Every Identity Baselined.
Every Anomaly Answered.

Purpose-built detection and response for every type of identity attack — from the phished employee to the hijacked AI agent.

Behavioral Baselines for Every Identity

Models learn the normal rhythm of each account — sign-in times, locations, destinations, privilege usage — so deviations stand out immediately instead of drowning in log noise.

Credential Compromise Detection

Catch stolen credentials in action: impossible travel, anomalous sessions, authentication from suspicious infrastructure, and patterns matching known attacker tradecraft like brute force and password spraying.

Privilege Escalation Alerts

Detect when an identity quietly gains rights it never had — a new admin role, a delegation through nested groups, a shadow path to sensitive systems — before those rights are exercised.

AI Agent Anomaly Detection

Agents have declared purposes. itdr.ms watches for agents acting outside theirs — accessing unexpected data, spawning unauthorized processes, or moving laterally — the early indicators of a hijacked or manipulated agent.

Automated Response Playbooks

When a threat is confirmed, response is immediate: force re-authentication, revoke sessions, suspend accounts, quarantine agents, or rotate credentials — automatically or with one-click approval.

ITDR Analytics & Threat Hunting

A dedicated console for identity threat hunting, mapping detections to MITRE ATT&CK so analysts can trace technique, scope, and blast radius in minutes — not days.

How It Works

From Connection to Containment
in Four Steps

Operational in hours. Baseline established in days. Threats contained at machine speed from day one.

1

Connect

Integrate your identity providers, directories, and cloud platforms — the sources where authentication and access events already flow. No agents, no rerouting.

2

Baseline

Models learn the normal behavior of every identity over days, not months — building a living profile that adapts as roles change and people evolve.

3

Detect

Anomalies are scored, correlated, and elevated only when they matter — high-fidelity alerts instead of a thousand false positives drowning the SOC.

4

Respond

Containment executes at machine speed. Every detection feeds back into the models to sharpen the next one — improving continuously without tuning.

Use Cases

The Identity Attacks
itdr.ms Stops Cold

Real scenarios from the identity threat landscape — and how itdr.ms catches and contains each one.

Account Takeover

Stopping the Phished Credential

A credential phished on Monday is used from new infrastructure on Tuesday. itdr.ms flags the behavioral break, forces step-up authentication, and revokes the session before data moves.

Privilege Escalation

Catching the Quiet Insider Path

An account accumulates privileges through nested group memberships no one reviews. itdr.ms surfaces the escalation path and the moment it is first exercised — before damage is done.

AI Agent Security

Containing a Compromised Agent

An AI agent manipulated through prompt injection starts touching systems outside its declared scope. itdr.ms detects the deviation from purpose and quarantines the agent automatically.

Who It's For

Built for the Teams Defending
the Identity Perimeter

01

SOC Analysts

Drowning in authentication logs that hide real attacks. itdr.ms filters the noise to surface high-fidelity detections so analysts spend time on real threats, not false positives.

02

Identity & Security Engineering

Closing the gap between IAM and detection. itdr.ms bridges identity operations and security response — the layer most organizations have left unmonitored.

03

CISOs & Security Leaders

Answering the board's question: would we know if a credential were stolen? itdr.ms gives you the answer — and the evidence to back it up at the next audit.

04

Organizations Deploying AI Agents

Agents authenticate constantly, hold real privileges, and can be manipulated in ways endpoint tools will never see. itdr.ms provides purpose-built anomaly detection for non-human actors.

ITDR vs SIEM

Purpose-Built Beats
General-Purpose Every Time

A SIEM aggregates logs from everywhere. itdr.ms is purpose-built for the identity layer — and that specificity is the difference between catching threats and missing them.

Capability SIEM (Generic) itdr.ms
Detection Model Rules you write and maintain ✓ Per-identity behavioral AI
Identity Semantics Logs treated as text fields ✓ Understands auth & access natively
Alert Volume High noise — generic thresholds ✓ High-fidelity — deviates from own baseline
Non-Human Identities Not differentiated ✓ Service accounts & AI agents, first-class
Automated Response Requires custom integration ✓ Native — revoke, suspend, quarantine
Time to Value Months of rule tuning ✓ Operational in hours
SIEM Integration ✓ Feeds high-fidelity findings into your SIEM
Security & Compliance

Enterprise-Grade Controls
Across the Identity Stack

Designed for organizations with demanding security requirements, regulatory obligations, and complex identity environments.

MITRE ATT&CK Alignment

Every detection maps to the ATT&CK framework — technique, tactic, and sub-technique — so analysts can contextualize findings instantly.

Data Residency & Isolation

Identity event data processed with strict residency controls. Your authentication telemetry never commingles with other tenants.

Full Audit Trail

Every detection, analyst action, and automated response is logged with full context — timestamped, attributable, and exportable for compliance and forensics.

Configurable Automation Thresholds

Set confidence thresholds for automated vs. human-approved response. Expand automation as trust grows — at the pace your organization is comfortable with.

RBAC for the SOC

Role-based access controls across analyst, investigator, and response roles. Tier the actions each team member can take — view, investigate, or execute containment.

SIEM & SOAR Integration

itdr.ms feeds high-fidelity, enriched identity threat findings into your existing SIEM and SOAR — amplifying the tools you already have rather than replacing them.

From the Field

What Security Teams Are Saying

"
We had endpoint and network coverage we were confident in. But when we deployed itdr.ms and saw what was happening at the identity layer — dormant accounts, quiet privilege escalations, a service account that had accumulated admin rights over 18 months — it was genuinely alarming. We were completely blind to all of it.
DK
David K.CISO, Global Financial Services Firm
"
The false positive rate from our SIEM's authentication rules was destroying analyst productivity. itdr.ms behavioral baselining cut the noise by about 90%. Now when we get an alert, it means something. The team trusts the detections — which means they actually act on them.
RL
Rachel L.Head of SOC, Enterprise Technology Company
"
The AI agent coverage was the deciding factor for us. We're deploying agents across finance and HR workflows. Having itdr.ms watch for agents acting outside their declared purpose — and quarantine automatically when they do — is a non-negotiable part of our AI governance posture.
SP
Shreya P.VP Security Engineering, Series D SaaS
FAQ

Frequently Asked Questions

A SIEM aggregates logs from everywhere and relies on rules you write and maintain. itdr.ms is purpose-built for the identity layer: it understands authentication semantics, learns per-identity behavioral baselines, and ships detection and response logic specific to identity attack techniques. It then feeds high-fidelity, enriched findings into your SIEM if you have one — amplifying rather than replacing it.
The opposite is the goal. Behavioral baselining means alerts fire on deviation from an identity's own normal, not on generic thresholds. An account that always authenticates from London at 9am doesn't trigger an alert for a 9am London login — but does trigger one if it suddenly authenticates from São Paulo at 3am. This dramatically reduces noise compared to rule-based alerting.
Yes, selectively. Most teams start with automated response for high-confidence detections — like impossible travel combined with session anomalies — and one-click approval for the rest. You control the confidence thresholds and can expand automation at your own pace as trust in the detections grows.
Fully. Service accounts and AI agents are first-class citizens in itdr.ms. Each gets its own behavioral baseline, purpose profile, anomaly detection, and response playbooks — because attackers increasingly target the identities no one is watching. As AI agents become standard in enterprise workflows, this coverage goes from useful to essential.
itdr.ms integrates with the major enterprise identity providers and directories — Microsoft Entra ID, Okta, Ping Identity, Active Directory, and others — as well as cloud platforms where authentication and access events flow. The integration list expands continuously; contact us if you have a specific environment in mind.
Integration is typically operational in hours. Behavioral baselines are established over days, not months — most organizations see their first meaningful detections within the first week. Some teams find active threats they didn't know about within 24 hours of connecting their identity stack.
Identity Threat Detection

Would You Know If an Attacker
Logged In Today?

Identity attacks succeed because they look like normal logins — right up until the damage is done. itdr.ms watches every identity, learns what normal looks like, and responds the moment it breaks.