Threat hunting and vulnerability detection outside the firewall

Threat hunting and vulnerability detection outside the firewall

Artificial intelligence (AI) has shifted traditional cyber security investigation techniques away from pure reliance on manual investigation. ‘Threat hunting,’ and other new AI-powered terms and processes, accelerate the detection of active threats to corporate reputation and customer experience. Are your digital risk intelligence capabilities moving in a direction that facilitates hunting threats and detecting vulnerabilities outside the firewall?

Not too long ago, your organization aggregated data from security tools and manually mapped external cyber threat information to dependent systems. This process often takes weeks, during which time attackers exploit vulnerabilities and extract data. Today, automated systems can help identify and resolve cyber attacks by learning from human inputs. Smart systems learn over time as intelligence analysts tag relevant data, allowing your cyber security employees to focus on the identification of anomalies or on takedowns – true risk reduction.

The threat landscape that must be covered and protected from attacks has grown drastically in recent years. With the constant expansion of cloud-driven technologies and social apps, the term ‘petabyte’ will become normal. We’ve reached the tipping point; there is too much available data for humans to manually extract threat information. Nevertheless, your team must continue to protect an external attack surface from vulnerabilities, threats, and attacks. Your team must also analyze and prioritize external user-generated data on social media in order to drive a business-relevant risk remediation strategy… Look to AI to help.

threat hunting and vulnerability detection with digitalstakeoutOur digital risk intelligence platform uses artificial intelligence and machine learning technology to automate and streamline business-relevant digital risk management. We help aggregate web data across different information types (surface web, social media, deep web, and dark web) and normalize the disparate sources to rule out false-positives, duplicates, and enrich the attributes within the data to detect threats, vulnerabilities, and critical discoveries.

Powered by algorithms built to detect threat scenarios, our software helps intelligence analysts identify “risk needles” in the “digital haystack.” We correlate threat or vulnerability information by intelligently processing surface, social, deep, and dark web data to help drive appropriate remediation. Because our platform can be customized and organized to meet your cyber security teams needs, it allows analysts to focus on what really matters to your organization. Over time, entity-centric and smart-filtering capabilities allow analysts to quickly differentiate between what to escalate or integrate into internal system, reducing alert volume and alert fatigue.

DigitalStakeout is helping you change the digital risk is managed. Our platform uses a business risk-based methodology and an entity-centric blueprint with a flexible API to empower our customers to implement automated digital risk monitoring outside the firewall. Using our software, customers maximize the power of human intervention in the threat and vulnerability detection process: Analysts focus on investigating and resolving the threats that effect your people, places, and brand – leaving our software to do the heavy lifting of data crunching to improve velocity and veracity risk reduction.