Detection & Response Across the Data Center
Detect lateral movement and identity abuse at the discovery phase — every layer of the data center instrumented, production untouched.
The data center is layered — app servers, SQL/NoSQL, identity (AD, LDAP, Kerberos, PKI), RDP/SSH workloads, and API gateways — each with its own protocols and authentication.
Adversaries enter at the weakest point and move laterally: enumerate Active Directory, probe database listeners, relay NTLM over SMB, Kerberoast service accounts, and test RDP or SSH with stolen credentials.
SIEM, EDR, and anomaly tooling is reactive — it needs a clean baseline and a visible deviation. Sophisticated actors use legitimate binaries, work in-hours, and move slowly, so the gap sits in the lateral-movement phase.
How AMazeTM Makes the Data Center Hostile
AMazeTM instruments every layer with Synthetic Cognitive Agents and Neural Echoes that mirror the assets adversaries want — so any interaction is a confirmed adversary, MITRE-tagged and stitched onto one attack-chain timeline.
Every Layer Instrumented
Cover Active Directory, Kerberos, LDAP, SMB/NTLM, RDP/SSH, SQL, and API surfaces — the layered paths adversaries use to move through a data center.
Authentic Identity Surface
Windows Synthetic Cognitive Agents present genuine AD, Kerberos, LDAP, SMB, WinRM, and NTLM surfaces, with synthetic accounts, Kerberoastable SPNs, and synthetic credential artifacts.
Caught by Behavior, Not Signatures
BloodHound, Rubeus, Impacket, and CrackMapExec get caught in the act, along with novel and living-off-the-land techniques — every event MITRE-tagged, scored, and stitched into an attack-chain timeline.
Real-Time Response
Dispatch in real time to SIEM (Splunk, Elastic, Wazuh), SOAR (XSOAR, Shuffle, ServiceNow), EDR, and SOC channels (Slack, Teams, PagerDuty), with approval-gated blocking and echo rotation.
See AMazeTM in action
Common questions
- How does this detect lateral movement?
- Lateral movement requires discovery: an adversary has to enumerate hosts, shares, and credentials before deciding where to go next. AMazeTM seeds Neural Echoes and Synthetic Cognitive Agents across those discovery paths, so the enumeration itself produces a confirmed signal instead of blending into normal traffic.
- How is this different from EDR?
- EDR watches behavior on endpoints it is installed on and decides whether that behavior looks malicious. AMazeTM does not judge behavior at all — it places assets that legitimate users and services have no reason to touch, so interaction is the signal. The two are complementary: EDR covers the endpoint, AMazeTM confirms intent.
- Will this add alert noise for my SOC?
- The opposite. Because no legitimate workload has a reason to authenticate against a synthetic asset or use a planted credential, these signals carry no false positives by construction. They are meant to raise the confidence of the queue, not its volume.
- Does it require agents on production servers?
- No. Synthetic Cognitive Agents are separate mirrored systems, so nothing is installed on the workloads you are protecting and there is no performance impact on production.
Detect Movement Before Spread
See how proactive, high-fidelity signals catch lateral movement and identity abuse across the data center — production untouched.
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