The LECS Platform software module that analyzes behavior, context, and identity in real time to detect credential abuse, lateral movement, and insider threats before they become operational damage.
75% of attacks today use valid credentials. If the cybercriminal logs in with a stolen password, he becomes an authorized user. Il rischio non è più il “file infetto”, ma l’azione anomala nel contesto sbagliato. L’AGENT colma questo vuoto: non si limita a cercare malware o file sospetti, ma individua azioni fuori contesto, anomalie comportamentali e segnali di compromissione direttamente sull’host.
Traditional EDR solutions focus primarily on the technical artifact of an attack. The AGENT adds a different layer of insight: it monitors identity, behavior, and operational context to determine whether an apparently authorized action is actually consistent with the user’s or system’s profile.
Many attacks don’t leave obvious malware on disk. They rely on stolen credentials, built-in administrative tools, remote access, and lateral movement. The AGENT detects these patterns by monitoring host-based telemetry, connections, and suspicious behaviors in real time.
The AGENT doesn’t ask you to remove existing protection. It integrates with your current stack and adds what’s often missing: a behavioral intelligence layer that can detect logical anomalies before they turn into financial or operational damage.
LECS’s AI Agent designed to bring an evolved behavioral analysis and host-based NDR capability to the endpoint. It does not replace antivirus or EDR: it complements them. Where traditional tools primarily look for infected files and known patterns, Tiresia looks for out-of-context signals, identity abuse, anomalous connections, and lateral movement. The result is protection that is deeper, more contextual, and more adherent to real attack scenarios.
The SPECTO engine analyzes events, logs, and connections without burdening user operations. It works in discrete mode, classifying relevant signals and reducing noise, so the IT or SOC team can focus on truly investigable events.
Continuous analysis of events and connections
Detection of behavioral and out-of-schedule abnormalities
Minimal impact on host performance
When THE AGENT detects a threat or behavior inconsistent with the operational context, it can activate a response proportionate to the severity of the event. The goal is not only to signal, but to quickly contain the risk and reduce the attacker’s dwell time.
Dynamic criticality assessment
Automatic containment actions
Support for rapid endpoint or threat isolation
Morphological analysis and unchanging traceability for uncompromising advocacy.
It analyzes the behavior of identities and reports access or actions that, although authorized, are not consistent with the operational context.
It brings NDR capabilities directly to the endpoint, monitoring network and system signals that often do not emerge from perimeter checks.
It does not perform invasive file scans and can coexist with already installed security tools, reducing conflict and complexity.
It doesn’t just show the problem-it can activate immediate and proportionate countermeasures based on the level of risk.
Traceability of events and quality of collected data reinforce investigations, audits, accountability, and regulatory requirements.
Designed to be deployed easily, quickly and non-invasively. The goal is to minimize technical friction: quick installation.
The agent can be deployed centrally on individual hosts or entire fleets of machines, simplifying rollout and operational governance.
The installation is designed to reduce impact and activation time, so the technical team can introduce the new protection layer without disrupting existing flows.
Once connected to the platform, Tiresia begins to observe the operating environment to more quickly distinguish normal behavior from anomalies.
Everything you need to know about the LECS AI Agent.
Conventional antivirus and EDR focus primarily on malware, suspicious files, signatures, and known processes. Tiresia adds a different level of analysis: it observes identity, behavior, context, and host-based network signals to detect anomalous access, credential abuse, and lateral movements that often escape conventional tools.
No. AGENT was created to be complementary. It integrates with existing protection and adds a layer of behavioral intelligence and host-based visibility without requiring replacement of the stack already adopted.
Yes. AGENT is designed precisely to detect scenarios in which the attacker uses legitimate tools, stolen credentials, remote access, or fileless techniques. In these cases, the useful signal is not the file, but the out-of-context behavior.
Yes. One of the product’s strengths is coexistence with existing security software, thanks to a lightweight approach that is not focused on file scanning.
For the end customer it means more visibility, better anomaly detection and complementary protection to the tools already in place. For partners it means offering a new level of value, easier to propose because it does not require replacing the existing one but enhancing it.