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ASTRAGAR USE CASES
Astragar brings sensitive data, vulnerabilities, controls and AI-agent activity into a connected evidence base that makes cyber risk easier to quantify, improve and insure.
CAMPAIGN USE CASES
Explore every evidence-led use case.
One view of risk
Connect data, exposure and controls.
Cyber insurance evidence
Turn cyber signals into decision-ready proof.
Better insurance decisions
Reflect the actual risk with evidence.
Policy-to-controls mapping
Find gaps before they become claims questions.
Claims evidence
Maintain the record before the incident.
Risk reduction
Prioritise action by modelled exposure.
Brokers and underwriters
Underwrite the risk, not just the questionnaire.
Treaty and reinsurance
Create common evidence from insured to reinsurer.
Evidence ecosystem
Build the evidence once. Use it everywhere.
Pilot scoping
Start with a defined risk and measurable outcome.
01 · SECURITY EVIDENCE
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Sensitive data, valued
We discover sensitive data automatically with our locally deployed platform and quantify its financial value.
02
Vulnerabilities, prioritised
We identify vulnerabilities and prioritise them based on the business value and sensitivity of the underlying assets.
03
Controls, evidenced
Our GRC module can test controls across multiple frameworks and maintain evidence of compliance and control effectiveness.
04
AI agents, monitored
Aeguard allows users to monitor AI agents, including attribution, permissions, behavioural activity and tamper-evident activity logging.
05
Cyber risk, quantified
Our platform brings vulnerability, data, control and AI-agent evidence together to quantify potential business and financial impact, including residual risk after controls are applied.
02 · INSURANCE DECISION EVIDENCE
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Insurance risk, evidenced
Organisations can provide insurers with evidence of their actual security posture, controls and residual risk instead of relying primarily on questionnaires and point-in-time declarations.
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Coverage, better matched
Quantified risks and control evidence help brokers and insureds identify coverage, limits, sub-limits and policy terms that better reflect actual exposures.
08
Underwriting, better informed
Insurers can use evidence-based risk information to understand underlying risk more accurately, supporting better selection, more appropriate terms and, where justified, more competitive pricing.
09
Policy requirements, mapped to controls
Policy conditions, warranties and security requirements can be mapped against actual controls, helping identify gaps before binding and throughout the policy period.
10
Claims denial risk, reduced
Evidence that required controls were operating helps an insured demonstrate its security posture at the time of an incident, reducing uncertainty and potential disputes over policy conditions.
03 · CONTINUOUS INSURANCE READINESS
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Insurance readiness, continuously monitored
Rather than preparing evidence only at renewal, organisations can continuously monitor vulnerabilities, sensitive data, controls and emerging risks for a more current view of insurability.
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Renewals, evidence-led
Organisations can demonstrate how risk has changed since the previous renewal (vulnerabilities remediated, controls improved, financial exposure reduced), giving brokers stronger evidence for negotiation.
13
Risk improvement, connected to insurance
Astragar can show which remediation actions produce the greatest reduction in financial exposure, helping prioritise security investment that may also improve insurance risk profile.
14
Treaty and reinsurance evidence, strengthened
Carriers can use consistent underlying risk and control evidence to better understand portfolio exposure and provide reinsurers with more defensible evidence for treaty discussions.
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One evidence layer, multiple uses
The same underlying evidence can support the CISO, risk team, board, regulators, brokers, insurers and reinsurers, without repeatedly recreating different versions of the organisation’s cyber-risk position.
Explore Astragar’s platform and see how one connected evidence layer supports better security, risk and insurance decisions.
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