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Cyber AI Analyst

Investigate & remediate threats automatically.

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Cyber AI Analyst is Darktrace's AI investigation technology, which automatically triages, interprets, and reports on the full scope of security incidents.

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Automates investigations at speed and scale

Mimics analyst intuition and continually investigates 100% of threats detected.

 

Prioritises the most relevant incidents

Surfaces and summarises every urgent incident as it emerges.

 

Writes reports in the form of a digestible narrative

Generates Incident Reports that immediately put teams in a position to take action.

Investigates every threat

 

Trained on the behaviours of hundreds of expert cyber analysts, Cyber AI Analyst represents an industry first, conducting autonomous investigations on the full range of threats.

Threats to cloud and SaaS services

Understands suspicious context around trusted accounts

Zero-day malware and ransomware

Investigates novel threats without relying on playbooks or rules

Compromise of Internet of Things

Illuminates cyber-threats targeting operational technology

Augmenting the team

Human security analysts investigate threats by following leads, forming hypotheses, reaching conclusions, and sharing their findings.

 

These steps take their time and expertise that security teams often cannot afford. Cyber AI Analyst generates thousands of queries and follows hundreds of parallel threads simultaneously, rapidly investigating the full scope of emerging incidents.

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Harnessing human flexibility

Cyber AI Analyst not only automates analyst workflows at speed and scale, but also preserves the inherent flexibility of human expertise.

 

By adapting on the fly, the system can quickly interpret and report on security incidents characterised by innovative attack techniques that would be impossible to capture with static playbooks.

Mimicking a cyber security analyst's intuition with AI

Every time any model is breached in Darktrace, it triggers the AI Analyst to launch an investigation. The AI forms hypotheses, starts asking the relevant questions and then begins to gather data - at machine speed - in order to find answers. These answers will prompt new hypotheses, and the process continues until a conclusion is formed.

 

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