Security Intelligence
Built for the AI era
Edgescan uses AI across the platform to understand exposure, prioritize risk, accelerate remediation and extend security testing. Grounded in validated security intelligence and human experience.
20M+Triaged Vulnerabilities
Agentic Intelligence
Autonomous Execution
Expert Oversight
AI Across the Edgescan Platform
From AI-powered insights to Autonomous security testing, intelligence becomes action.
AI is reshaping cybersecurity, but not all AI delivers meaningful security outcomes. Edgescan applies it where it delivers real security value.
AI Insights
Turn validated vulnerabilities data into meaningful security intelligence
Continuous Controls Validation
Map vulnerabilities against policies, frameworks, and compliance requirements
WAF Rule Generation
Generate WAF rules directly from validated vulnerabilities
Edgescan Atomic
Autonomous penetration testing grounded in Security Intelligence
AI isn't new to Edgescan
We have spent years building the intelligence foundation that makes AI effective
Years of validated security data
Data First
Built on real world security intelligence
Context First
AI that understands more than the isolated vulnerability
Outcome First
AI is applied where it helps security teams make decisions and take action
AI that works because the data is trusted
Most AI platforms generate answers. Edgescan starts with evidence.
Edgescan AI is built on a data-first foundation, drawing on 20M+ triaged vulnerabilities and years of real-world testing by CREST and OSCP-certified experts, Edgescan has combined proven security intelligence with Agentic AI and the Edgescan Harness, providing the context, controls, governance and validation needed for focused AI use.
That distinction matters!
For every recommendation prioritization, an automated action is built on security data that has already been validated, reducing noise and increasing confidence in every decision.
Responsible AI.
Built with Control.
More autonomy demands more control. That’s why responsible AI is built into everything we do.
Trusted Inputs
Grounded in validated security data and expert knowledge
Expert in the Loop
AI augments experts. Expert validation and oversight remain central
Controlled Execution
Higher autonomy actions operate within a defined scope, permissions and deterministic controls
Transparent & Auditable
AI-generated activity is identifiable, explainable and auditable
AI should create confidence, not uncertainty.
Build alongside CREST certified penetration testers
Build on 20M+ triaged vulnerabilities
Human expertise remains central
AI validates before it reports
Integrated into existing workflows
Security outcomes over AI hype
Every AI capability Edgescan is designed to support expert decision-making, reduce unnecessary effort and integrate seamlessly into existing security workflows
Every AI capability is developed alongside our experience, security-engineered and CREST-certified penetration testers, ensuring intelligent automation is backed by real-world security knowledge.
From vulnerability validation and AI-assisted testing to autonomous penetration testing our AI is designed to support expert decision-making, reduce unnecessary effort and integrate seamlessly into existing security workflows.
One Security Platform
Together Agentic AI and Autonomous AI enable a more intelligent approach to modern security testing
Agentic AI
Understands objectives, reasons through complex problems, and recommends the next best action.
- Analyze and prioritize risk
- Understand business context
- Recommend remediation paths
- Coordinate security workflows
Autonomous Security Testing
Execute security assessments intelligently with minimal manual intervention
- Investigate environments
- Adapt and discover
- Expand coverage at scale
- Deliver greater speed and visibility
FAQ
Edgescan AI is the intelligence layer across the Edgescan Security Platform, applying artificial intelligence to security data vulnerability analysis, prioritization, validation, and security workflows.
Rather than using AI simply to generate answers, Edgescan applies AI where it can create measurable security value, helping teams understand risk, reduce noise, make better decisions and accelerate action.
Edgescan uses AI across the platform to help security teams analyze validated vulnerability data, understand risk, prioritize security issues, support compliance and security controls, generate security actions, and automate aspects of security testing.
AI is applied to real security workflows, with validated security intelligence and human expertise providing the context needed to make those capabilities useful and trustworthy.
Agentic AI goes beyond generating responses. It can understand an objective, reason through a problem, evaluate context and determine the next appropriate action.
Within cybersecurity, this enables AI to analyze vulnerabilities, understand relationships between findings, prioritize risk, recommend actions, and coordinate security workflows.
At Edgescan, Agentic AI is designed to augment security professionals by helping them make faster, more informed decisions.
Traditional AI applications may respond to a specific prompt or perform a defined task. Agentic AI can work towards an objective by understanding context, reasoning through a problem and determining what action should happen next.
For security teams, this means moving beyond AI-generated information towards AI that can help interpret security data, make recommendations and coordinate actions with an existing work focus.
Edgescan AI is built specifically for cybersecurity and grounded in validated security intelligence.
It’s AI capabilities are designed around real security workflows and informed by Edgescan’s extensive vulnerability intelligence and years of security testing experience. This provides the context needed to apply AI to security decisions rather than simply generating generic responses.
The result is AI focused on security outcomes, with human expertise remaining central where judgment and validation matter most.
AI is only as useful as the data and context behind it. In cybersecurity, relying on incomplete or unvalidated information can lead to noise, inaccurate prioritization and unnecessary investigation.
Edgescan combines AI with validated vulnerability intelligence, creating a security-specific foundation for analysis, prioritization and decision-making.
Edgescan’s security intelligence is built on more than 20 million triaged vulnerabilities, providing AI with extensive real-world security context.
No. Edgescan’s approach is designed to combine the strength of AI and human expertise.
AI can provide greater speed, scale, continuous analysis and automation, while security professionals provide judgment, context, creativity and experience.
The goal is to help security teams do more with their experience, not remove the human expertise that makes security decisions meaningful.
AI can help security teams, analyze, large volumes of vulnerability, data, identify meaning relationships, understand, context, and prioritize issues that require attention.
Edgescan combines these AI capabilities with validated vulnerability intelligence to help teams move from simply identifying vulnerabilities to understanding their significance and taking informed action.
Agentic AI goes beyond generating responses
It understands objectives, reasons through complex problems and determines the next best action to achieve a goal.
For cybersecurity teams, staff means that AI can
- Analyze validated vulnerabilities
- Understand business context
- Prioritize security risks
- Recommend remediation paths
- Coordinate security workflow
Rather than replacing security professionals, Agentic AI helps them make faster, more informed decisions.
Autonomous security testing uses intelligent systems to execute security assessments with minimal manual intervention.
Rather than simply automating predefined tasks, autonomous systems can investigate an environment, adapt its approach based on with it discovers and execute security testing at greater speed and scale.
This allows organizations to test more frequently, expand coverage, reduce manual effort, and improve visibility into their attack surfaces.