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Verdict

A quick read before you dig into the full page.

Best if
AI-powered external exposure assessment at scale
Skip if
Complex implementation process
Pick this when
External exposure assessment

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Overview

AI at CyCognito is designed to assist with external exposure assessment on a large scale, validates the risk and directs remediation priorities. It leverages various AI technologies to offer a comprehensive solution for surveillance and risk management.

This includes intelligent discovery, where AI models aid in establishing associations between assets to generate a continuously updated interpretation of your digital footprint.

CyCognito uses semantic search aided by natural language processing that enables users to make data requests in plain language and receive useful responses.

Their contextual analysis feature uses AI to identify an assets function, underlying technology, and exposure traits, providing insights about potential attackers' interest to create a risk profile for prioritization.

Through adaptive testing, AI insights ensure tests are run comprehensively for each asset, adapting as the environment evolves for risk validation. In terms of security, they have automated security testing to focus on significant risks as the environment changes.

Moreover, AI-assisted logic is employed for routing each finding to the appropriate owner, providing clear remediation context and confirming that fixes are complete.

The AI technologies powering CyCognitos platform include Bayesian Machine Learning, Large Language Models, Generative AI models, Graph-based AI, and Natural Language Processing.

CyCognito website

Access & connections

Where you can use CyCognito, and what it plugs into.

Platforms

Web

Integrations

Make

Capabilities

What this tool accepts, produces, and is strongest at.

Input

  • Tabular

Output

  • Text

Pros & cons

Pros

  • External exposure assessment
  • Validates risk at scale
  • Intelligent discovery
  • Updated digital footprint interpretation
  • Semantic search feature
  • Natural language data requests
  • Contextual analysis
  • Assets' function and exposure identification
Show 30 more
  • Risk profile creation
  • Adaptive testing
  • Environment-evolving risk validation
  • Automated security testing
  • Clear remediation context provision
  • Fix completion confirmation
  • Bayesian Machine Learning
  • Large Language Models
  • Cyber threat intelligence
  • Asset association establishment
  • Potential attackers' interest detection
  • Comprehensive surveillance
  • Intelligent asset discovery
  • Automated exploit intelligence
  • Seedless discovery
  • Exposure context determination
  • Continuous risk validation
  • Risk prioritization
  • Remediation automation
  • Real World Impact Determination
  • True exposure separation
  • Material risk focus
  • Asset ownership prediction
  • Probabilistic graph models
  • Ownership attribution, business and risk enrichment
  • Relationship mapping and explanation
  • External relationships and exposure points connection
  • Plain language queries
  • Organizational data extraction and match
  • Live, connected map building

Cons

  • Complex implementation process
  • Possible high false positives
  • Absence of real-time risk monitoring
  • Risk classification may be subjective
  • Dependent on natural language input
  • Lack of third-party integrations
  • Adaptability takes time
  • Automated remediation context may be unclear

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Releases 1

Initial release May 1, 2024 Current
Initial release of CyCognito.

FAQ 12

What is CyCognito?
CyCognito is a platform that uses AI technology to assist with large-scale external exposure assessments, risk validation, and guidance on remediation priorities.
What is the function of AI in CyCognito?
AI in CyCognito assists in discovering and establishing associations between assets to generate a continuously updated interpretation of the digital footprint. It uses semantic search, aided by natural language processing, to enable plain-language data requests and generate useful responses. The AI also identifies an asset's function, underlying technology, and exposure traits, and provides insights about potential attackers' interest to create a risk profile for prioritization. Furthermore, AI insights ensure comprehensive testing of each asset and adapt to environmental changes for risk validation.
How does CyCognito's AI models aid in intelligent discovery?
CyCognito's AI models enable intelligent discovery by assisting in identifying and establishing associations between assets. It assesses the relationships between various assets to generate a continuously updated view of the organization's digital footprint, hence uncovering potential points of hidden risk across brands, subsidiaries, and external environments.
Can you explain CyCognito's semantic search feature?
The semantic search feature in CyCognito uses natural language processing to interpret user data requests made in plain language and to provide precise responses. Users don't need queries or filters because the system comprehends the request and returns appropriate results.
How does AI assist in the contextual analysis in CyCognito?
The AI in CyCognito performs contextual analysis by identifying each asset's function, underlying technology, and exposure characteristics. By providing insight into an attacker's possible interest, a risk profile is created to guide prioritization.
What are the different AI technologies powering CyCognitos platform?
The AI technologies powering CyCognito's platform include Bayesian Machine Learning, Large Language Models, Generative AI models, Graph-based AI, and Natural Language Processing.
How does Adaptive Testing feature work in CyCognito?
Adaptive testing in CyCognito uses AI insights to determine how tests are run for each asset. As the environment evolves, the testing adjusts to validate the risks that matter most.
What is the role of AI in automated security testing in CyCognito?
AI plays a critical role in CyCognito's automated security testing by focusing on significant risks as the environment evolves. It drives test sequences for each asset type and automatically runs targeted checks.
How does CyCognito use AI for large-scale external exposure assessment?
CyCognito uses an AI-assisted system for large-scale external exposure assessment by identifying and verifying assets and their connections using AI-driven discovery. This helps in improving coverage in large, complex environments.
How does CyCognito validate risk?
CyCognito validates risk using AI-assisted validation that uses exploitability evidence, asset context, and threat signals to separate true exposures from noise, thus highlighting the highest priority risks.
Can you explain CyCognito's risk management capabilities?
In terms of risk management, CyCognito employs AI technologies to identify assets, establish connections, evaluate each asset's purpose, business role, and data sensitivity to turn technical findings into clear, actionable insights.
How does CyCognito's AI-assisted logic help in remediation priorities?
CyCognito's AI-assisted logic helps in remediation priorities by routing each security finding to the appropriate owner. It provides a clear remediation context and verifies that the fixes are complete, ensuring a verifiable process that reduces risk and makes accountability clear.
CyCognito
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