If you had to invent the perfect SIEM from scratch it would be an intelligent platform, that lowers the burden of false positives from your security team, and is easily managed, even by a small team.
empow’s game-changing automation technology makes this possible. Integrated with data search leader Elastic, “i-SIEM empowered by Elastic" turns the analyst’s flow upside down. Instead of an army of analysts working their way through the mountain of logs from the bottom up, they can now work top down.
empow’s i-SIEM provides a vendor agnostic solution. empow’s security language is aligned with the MITRE ATT&CK™ framework and utilizes it to help you defend your enterprise more effectively. Based on the taxonomy of the adversary’s tactics and techniques – which represent attacker intent – i-SIEM provides pre-built targeted defense strategies (Security Apps) that identify and prioritize known and unknown threats.
empow’s i-SIEM solution is made possible by its proprietary AI technologies, which are strategically integrated into the following process:
empow’s i-SIEM sits on top of the organization’s existing network infrastructure and translates targeted defense strategies (Security Apps) into coordination instructions for detection, investigation and response, according to each Security App. The Platform has predefined security applicaitons, all of which are customizable.
The integrated i-SIEM empowered by Elastic collects all types of IT data including security logs, security intelligence feeds, OS logs, servers and application logs, network flow data and more, by using a range of available data source plugins.
empow’s AI and NLP (Natural Language Processing) and Adaptive Expert Engines, classify attacker anomaly behavior and intent. Three main types of malicious intent classifications are done: User entity anomaly classification, Network traffic anomaly classification and Security events classification. This process runs continuously and automatically, with virtually zero human involvement, and marks the logs and events with intent metadata which is indexed into the elastic DB. Examples of intent classification include: account discovery, derive-by compromise, exploitation for privilege escalation, automated collection, exfiltration over command and control channel, and data encrypted.
empow’s security analytics engine identifies cause-and effect relationships between the collection of deciphered intents, grouping them together and prioritizing the real attack stories and compromised entities in the organization. This engine emulates human security expert processes, identifying the real persistent attack patterns out of all the noise and deciding, according to the attack intent, which investigation policies are required, and which proactive response policies to employ.
empow’s Contextual Orchestration Engine dynamically identifies and selects the best available products and network tools to execute the investigation and response actions. This translates into fast and optimal incident response, while at the same time simplifying security operations and eliminating maintenance overhead.
empow’s i-SIEM collects and analyzes the IT data and actualizes the selected and customized defense strategies.
Detects, investigates and prioritizes real attack campaigns that try to gain admin privileges in order to conduct a range of attack types on the organization.
Detects, investigates and prioritizes real attack campaigns that involve with phishing and other social engineering methods targeted at individual users, resulting in confidential user information theft, account take over, and more.
A generic application that detects, investigates and prioritizes intelligence gathering attack vectors, including incidents that can evolve into actual attacks.
Detects, investigates and prioritizes real data leak attack campaigns.
Detects, investigates and prioritizes real attack campaigns that try to break into data services that store sensitive information and encrypt it for ransom purposes.
Detects, investigates and prioritizes real attack campaigns that involve insiders engaged in abnormal traffic and user behavior activities.
empow recognizes that your team’s skills are an essential component
of your overall security.
That’s why our platform is built to leverage your skills and requirements to create new security applications. Your security experts can easily build apps using a guided UI process where they select the security services and security functions, as well as workflows that will integrate detection, investigation and mitigation behaviors. Once built by your team, these apps become part of the tool-set that empow abstracts and orchestrates.
UEBA & NTA Engines
empow’s i-SIEM comes with out-of-the-box UEBA (User Entity Behavioral Analytics) and NTA (Network Traffic Anomaly) engines that learn and profile the normal behavior patterns of users, applications and traffic, and detect anomalies based on deviations from these patterns.
These engines add an important layer of detection :
Providing these as integrated, out of the box detection capabilities of empow’s i-SIEM enables to correlate network and user behavioral based anomalies, with 3rd party security alerts from other data sources as well as the organization’s identity management information. This provides a wider context for decisions and removes false positives and noise from the entire cyber security system.
empow’s i-SIEM provides visibility into the security and health status of the organization’s entire security platform through a display of statistics of the IT security infrastructure and alerting on any operational issues.
The i-SIEM’s pre-defined and customized dashboards and alerts allow notification to 3rd party security operation systems, including ticketing and case management tools.
We’ll show you how we can quickly and economically
turn what you have into what you need.