TOPIA's 0-day analysis engine automatically characterizes exploited areas in any binary software. Leveraging this knowledge, TOPIA identifies similar vulnerabilities in your applications, analyzes them, and informs you about potential weaknesses before hackers find them.
Relying entirely on public CVE disclosures leaves your organization vulnerable. By comparing binary pieces to existing threat categories, TOPIA identifies potential software vulnerabilities that can put your applications at risk of being exploited. TOPIA enables you to cover the security gaps.
Many companies use proprietary, legacy, or unsupported software--all of which can be exploited and may lead to complete organizational failure. TOPIA identifies threats in any software within your organization's digital environment, reducing overall risk.
The CVE disclosures cycle is a waiting game. The time spent waiting on the subsequent patches can leave your organization open to cyber attacks for months at a time. TOPIA allows you to break free from the patch cycle and increase your organization's efficiency, reducing your overall security risk level.
TOPIA collects and analyzes software binaries for patterns to determine vulnerable spots in the libraries. Like DNA mapping, it identifies weak genes, i.e., a predicted vulnerability, based on the environment it analyzes.
TOPIA’s detection engine is composed of 3 parts:
Examines the behavior of malware samples to see which parts of the software they are abusing.
A machine-learning algorithm finds similarities between them to identify a common target characterization.
Common target characterization patterns are used to hunt for similar targets on every application in the organization.