Collect and normalize a new data source
Create or convert a detection rule
Triage alerts
Results
Recommends integrations
Creates and converts ingest pipelines
Administrators
Analysts
Elastic's RAG finds the relevant information and summarizes it in a clear, AI-generated response. It's a huge time saver.
René Kalff
Technical Lead of the Intermax Cyber Defense Center
Cybersecurity professionals see a number of promising use cases… here are the top five2.
How can AI boost your security team today?
AI products are now abundant in the security industry … and the dark web.
Threat actors enjoy the increased sophistication AI provides to their attack methods. Security teams appreciate the robust automation capabilities that allow them to prioritize and respond to threats faster.
How is AI changing the cybersecurity landscape?
For most enterprises, AI adoption for security is taking off.
The global market for AI-powered cybersecurity tools is forecast to grow by 27.9% (compound annual growth rate) into 20301.
AI adoption in today’s environment
Explore how AI is being used on both sides of the cybersecurity battle.
AI-fueled benefits and risks
2024
2025
2026
2027
2028
2029
2030
A job is complete within minutes: this is the holy grail, and this is what a great security analyst could do after many hours or maybe two or three days of work.
Daniel Miessler
Founder of Unsupervised Learning
1SOURCE: Statista
2SOURCE: Generative AI for cybersecurity: An optimistic but uncertain future
Hear more on the benefits and risks of implementing AI in your security stack from the industry expert Daniel Miessler and Elastic Security’s own James Spiteri.
What’s the future of AI in cybersecurity?
Benefits & risks
AI adoption
AI & security
How AI helps
The future of AI
Improving security hygiene and posture management
26%
Guiding the cybersecurity staff with recommended actions
26%
Accelerating threat detection and response
25%
Consolidating security technologies
24%
Training entry-level cybersecurity personnel
23%
How AI helps security professionals
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Enhanced threat detection and prediction
Automated, rapid incident response
Improved accuracy of true positives, broader data correlation
Major gains in team efficiency and productivity
Vulnerability management
AI-driven security benefits
Increased velocity and volume of cyberattacks
Sophisticated malware adapts to time-tested defenses
Improved evasion techniques
Spearphishing is more convincing and effective
Large Language Model-based vulnerabilities can result in data leakage
AI-fueled security threats
Forecasted value of the AI cybersecurity market — up from $24.3 billion in 2024.
$133.8 billion
by 2030
Read the full story
Investigate a threat
Respond to an incident
Eventually, every single new threat is going to be scrutinized by AI. Every single new piece of internal data and knowledge and metadata, all your different sensors, log data — all of it is going to be scrutinized by an AI. It's going to have logic for bringing it together and continuously launching the alerts. And this is not science fiction, this is not in the future: This is happening right now.
Daniel Miessler
Founder of Unsupervised Learning
AI-fueled security threats
AI-driven security benefits
Action
Automatic Import feature:
Creates and converts detection rules
AI Assistant:
Explains alerts
Automates triage by correlating related alerts into attack-level findings
Attack Discovery:
Performs key investigation steps — providing detailed description of the attack, summarizing hosts & users, displaying related MITRE ATT&CK Tactics, and more.
Attack Discovery:
Suggests remediation steps
Attack Discovery:
Documents incidents
Creates step-by-step remediation plan
AI Assistant:
Streamlines ad-hoc analysis and enrichment by generating ES|QL queries
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