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Ollandi Platform · Powered by Ollandi 5 Preview

One operating picture, from change to response

Connect signals across your systems to understand what changed, which services are affected, and how to respond. Ollandi brings investigation, response controls, and the incident record into one workflow.

Performance and capacity

Reported performance and architecture specifications

Detection, response, and false-positive figures come from earlier PulseADT deployments. Coordination and capacity specifications are described in the Ollandi 5 paper.

<500 ms

Consensus across defense agents

For critical threats

0.8 min

Mean time to detect

Earlier PulseADT deployments

2.1 min

Mean time to respond

Earlier PulseADT deployments

1.2%

False-positive rate

Earlier PulseADT deployments

50,000+

Assets per regional cluster

Scales out by adding clusters

Architecture

How the platform connects the work

Select a layer to explore how data becomes shared context, findings, permitted actions, and an incident record.

CloudOn-premisesIdentityNetworkEndpointsApplicationsPhysical estates

Reasoning

Cognitive Security Core

Neural pattern recognition and logical inference support threat assessments. Intent hypotheses inform possible attack paths; verified feedback informs governed model updates.

  • Security-native pretraining on infrastructure, tradecraft, and policy
  • An explainable justification for every threat assessment
  • Next-phase prediction and pre-positioned countermeasures

Hypotheses, confidence, and evidence-linked explanations

Core innovations

The reasoning capabilities behind the workflow

Ollandi 5 Preview combines specialized security reasoning with coordinated agents. These capabilities build on Glemad’s ADT and CDA research.

Unified Hybrid Fabric

One plane across cloud and on-premises

Supported telemetry is normalized into shared infrastructure state, with approved actions routed through connected controls.

Neuro-Symbolic Threat Intelligence

Assess findings against context

Pattern recognition identifies suspicious behavior; logical inference relates it to entities, sequences, and policy.

Adversarial Counter-Reasoning

Assess likely attack paths

Inferred objectives and reachable dependencies help identify possible next steps and suitable countermeasures.

Zero-Latency Consensus Protocol

Coordinate domain assessments

Agents share findings and seek consensus. The paper reports sub-500 ms coordination for critical scenarios; loss of quorum triggers escalation.

Self-Evolving Defense Surface

Refine detection under governance

Confirmed incidents and analyst feedback inform staged updates. Learning cannot expand configured authority.

Continuous Evidence Generation

Preserve the decision record

Observations, checks, approvals, and outcomes remain linked for investigation and review.

In action

One attack, five domains

Follow an illustrative compromise across on-premises systems, identity, network, cloud, and backups. See how shared context informs a containment decision.

  1. 01

    On-premises

    Credentials harvested from an on-premises mail server

    Domain signals: Host behavior and account activity.

    Ollandi: Links the host, the account, and the cloud identity it syncs to.

  2. 02

    Identity

    Directory sync abused to gain cloud privilege

    Domain signals: Directory and privilege changes.

    Ollandi: Relates the new privilege to the identity and change window; assesses a possible cloud pivot.

  3. 03

    Network

    VPN pivot into cloud networks

    Domain signals: Session and network-path records.

    Ollandi: Attack stoppedIn this scenario, authorized session revocation and privilege suspension close the access path.

  4. 04

    Cloud and SaaS

    Data staged for exfiltration through a SaaS OAuth app

    Domain signals: OAuth permissions and data-access activity.

    Ollandi: In this example, the closed access path prevents this stage.

  5. 05

    Backups

    Backups tampered with to erase evidence

    Domain signals: Backup access and configuration changes.

    Ollandi: Backup exposure informs the response plan; the incident record remains available.

Illustrative scenario based on the cross-domain attack chain described in the Ollandi 5 technical paper.

Action classes

Control matched to impact

You decide how each class of action runs. Actions are assessed by impact and reversibility. Insufficient evidence or authority blocks execution or routes the decision to an operator.

Ollandi action classes and how each one runs
ClassExamplesHow it runs
0 · ObservationalEvidence collection and increased monitoringWithin the authorized observation scope
1 · Reversible containmentSession revocation, temporary network block, privilege suspension, MFA re-enforcementWithin policy, with agent consensus and rollback
2 · Semi-reversible enforcementCredential rotation, workload quarantine, deployment rollback, host isolationWithin policy, with supermajority consensus and safety verification
3 · High-impactAccount disablement, broad network isolation, policy rewriteExplicit human approval
4 · EmergencySite-wide containment, mass session terminationPre-authorized emergency protocols with review

Production deployment

Deployment across local, regional, and global tiers

Ollandi runs as a three-tier distributed system across cloud, on-premises, and hybrid environments.

Edge tier

Lightweight collectors in connected environments, from cloud VPCs to on-premises network segments and edge sites, filter and analyze locally to keep traffic low.

Local first-pass analysis

Regional tier

Regional clusters host the domain agents, shared memory, and consensus for their region, running active-active with automatic workload redistribution.

50,000+ assets per regional cluster

Global tier

Global services hold the authoritative entity graph, policy store, and evidence archive, and share threat intelligence across regions.

Cross-region correlation and governance

30 sAgent failover RTO
60 sRegional cluster failover RTO
5 minGlobal tier recovery RTO

Coverage

Seven domains, more than 100 integrations

Domain Intelligence Packs give Ollandi depth in cloud, identity, runtime, network, endpoint, on-premises, and ATM estates. Connections to existing systems support observation and permitted response actions.

See all integrations

Amazon Web Services

Cloud platforms

Microsoft Azure

Cloud platforms

Google Cloud

Cloud platforms

Glemad Cloud

Cloud platforms

Microsoft Entra ID

Identity and access

CrowdStrike Falcon

Endpoint protection

Splunk

SIEM and logs

Palo Alto Networks

Network and firewall

Ollandi Controls

You choose how much Ollandi does

Observe & Notify, Assisted Response, or Controlled Autonomous Defense, across the Domain Intelligence Packs your environment needs.

In production

An example from payments infrastructure

See all customer stories

FAQ

Frequently asked questions

  1. The operator-facing product for connected infrastructure investigation and response. Teams select domain coverage, review findings, and work within a configured level of response authority.

  2. Ollandi 5 Preview, Glemad's proprietary security reasoning model, built on the Autonomous Defense Transformers and Coordinated Defense Agents model families Glemad has developed since 2020.

  3. Ollandi adds persistent infrastructure context and hypothesis-based investigation across connected systems. Existing tools may continue to provide telemetry or enforcement. The Why Ollandi page explains how to assess fit and overlap.

  4. Yes. Start with Observe & Notify or incident replay. Review the quality of findings and proposed actions before deciding whether to enable response.

  5. The operating Control determines whether Ollandi observes, prepares a response for approval, or executes named actions within granted authority. High-impact actions require human approval.

  6. The Ollandi 5 technical paper covers the architecture, threat model, action taxonomy, deployment design, and evaluation framework in full.

Get started

Evaluate the workflow on one incident

Choose an incident or service path. We will review the available context, proposed response, and evidence needed to assess the result.

  1. Detection, response, and false-positive figures are reported for earlier PulseADT deployments using ADT-4 Pro, with mature telemetry and defined policy baselines. They are not a benchmark of Ollandi 5 Preview. Results depend on telemetry, scope, and policy configuration. Consensus latency, scale, and failover figures are from the Ollandi 5 technical paper.