Threat identification is traditionally a threshold-driven process, involving the discovery of potential threat patterns. AI has the capacity to revolutionize this process.
OpenText™ Cybersecurity Aviator’s innovative new threat detection approach combines machine learning models that automatically and continuously learn with rapid deployment, which allows new threat detection models to be in place within hours to protect from new and evolving threats.
Deliver new threat detection modes that ensure customers are protected within hours, not weeks or months.
Track and co-relate billions of behavior-based patterns and attributes.
Boost threat-hunting efficiency with ML models that continuously learn and adapt.
Unprecedented agility and AI based automation to respond to new threats as they emerge.Don't miss out: Join the waitlist
Organizations require new security content—and often a new product release—to keep up with the continuing emergence of new threat types. Stay ahead of adversaries with new threat detection models to be in place within hours to protect from new and evolving threats.
Identifying threats is hypothesis-driven. Security teams must identify a pattern of a potential threat and then look for other similar instances. AI can automate this process, integrating data from various sources and synthesizing it to identify potential threats with context, enabling users to act confidently.
A comprehensive perspective is critical for effective mitigation efforts, yet traditional security measures often provide only part of the picture. Leverage advanced analytics capable of tracking and correlating billions of behavior-based patterns and attributes for superior accuracy and insight.
Explore innovative AI capabilities of OpenText Aviator to reimagine work for your organization across all functional areas:
Get all you can out of AI with engineering platforms and tools to help your organization seamlessly establish information flows and orchestrate data.