OUR SERVICES

At Alȳn, Inc., we understand each organization or federal agency has its own unique organizational complexities. We partner with our clients to understand their goals, opportunities, and challenges in order to develop target operating models that align to their principles, goals, and objectives.

Alȳn, Inc., offers computer security and incident response services through experienced incident handlers, malware analysts, and network forensics analysts to orient, contain, and remediate advanced cyber threats. Our holistic approach to incident response employs the ability to quickly pivot between network, forensic, and malware analysis to identify the threat, scope, and indicators associated with the attack to quickly mitigate the threat and restore operations.

The primary goal of Alyn cyber threat hunting is to proactively identify potential threat vectors or malicious activity before an adversary has the chance to gain a foothold in the network. Early detection of malicious activity and focused mitigation strategies prevent the exfiltration of critical data and exposure of sensitive information. Our team’s experience in expert level threat analysis and mitigation enables us to provide productive and effective threat analysis for our clients.

At Alȳn we conduct advanced cyber threat intelligence analysis to leading industry threat fusion centers to proactively orient and detect cyber threat activity. Our CTI consultant’s help clients operationalize cyber threat intelligence for clients to allow them to collect, fuse, enrich, and analyze threat indicators as well as establish intelligence sharing relationships with stakeholders.

Alȳn’s Data Wrangler’s (aka. data scientists) use advanced statistical and data management techniques to provide the security analysts access to correlated events from across the organization to enable efficient identification of existing weaknesses and prediction of future enterprise vulnerabilities and cyber threats. Security Big Data Analytics utilizes the data and capabilities of Big Data Analytic platforms that capture security centric logs and events across the enterprise. These platforms, often known as Security Data Lakes (SDL), centralize data that otherwise would be siloed within separate security products, facilitating actionable analyses.