On-demand Webinar: Third-Party Risk in the Agentic Era

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On-demand Webinar: Third-Party Risk in the Agentic Era

Watch Now

On-demand Webinar: Third-Party Risk in the Agentic Era

Watch Now

Build a risk program your stakeholders trust.

Zania's AI agents identify, assess, and treat risks across your portfolio, while your team stays in control with the evidence to back every decision.

$11.4M

Total ALE:

Risk Portfolio

Acme Corp

47

Total risks

+3 this week

8

Critical

4 threatening

94%

Coverage

+6% QoQ

-26%

ALE Reduction

vs. last quarter

Exposure by Domain

Data Security

$4.2M

Identity & Access

100%

Third-Party

85%

Infrastructure

85%

ALE Trend

26%

Top Risks by ALE

Data Breach via Insider

$4.2M

Critical

Ransomware Attack

$1.8M

High

Third-Party Exposure

$920K

High

12 risks treated this quarter · 4 treatments active

47 risks quanitfied

Continuous monitoring active

$11.4M

Total ALE:

Risk Portfolio

Acme Corp

47

Total risks

+3 this week

8

Critical

4 threatening

94%

Coverage

+6% QoQ

-26%

ALE Reduction

vs. last quarter

Exposure by Domain

Data Security

$4.2M

Identity & Access

100%

Third-Party

85%

Infrastructure

85%

ALE Trend

26%

Top Risks by ALE

Data Breach via Insider

$4.2M

Critical

Ransomware Attack

$1.8M

High

Third-Party Exposure

$920K

High

12 risks treated this quarter · 4 treatments active

47 risks quanitfied

Continuous monitoring active

“Zania’s agents turned our risk assessments from a manual marathon into an automated sprint, slashing the effort to a fraction of what it was.”

Kenneth Moras

Kenneth Moras

Head of Security at Plaid

How it Works

An agentic workflow for internal risk

Risk Lifecycle

Running

Discover

Assess

Treat

Report

Report with confidence

Simulate treatment options, prioritize the highest-leverage actions, and drive execution.

Mitigate

Deploy MFA org-wide

Transfer

Cyber insurance policy

Accept

Legacy system (EOL Q4)

Avoid

Deprecate shadow IT tool

68% exposure reduction possible

Risk Lifecycle

Running

Discover

Assess

Treat

Report

Report with confidence

Simulate treatment options, prioritize the highest-leverage actions, and drive execution.

Mitigate

Deploy MFA org-wide

Transfer

Cyber insurance policy

Accept

Legacy system (EOL Q4)

Avoid

Deprecate shadow IT tool

68% exposure reduction possible

Built by risk and compliance leaders from

Risk Identification

Uncover risks beyond static registers

Agents pull risks from across your environment, whether they originate in systems or risk registers. Bring fragmented signals into one place so teams can act with confidence.

Discover Risks

Describe a risk in plain English…

e.g, "What happens if a contractor exfiltrates customer data?"

or start from a template

Insider Threat

Claud Misconfiguration

Third-Party Breach

AI Surfaced

4 New

Unencrypted PII in staging DB

Critical

via AWS config

Stale admin credentials (90+ days)

High

via AWS config

Missing DLP on contractor endpoints

High

via CrowdStrike

S3 bucket publick read access

Medium

via AWS config

Discover Risks

Describe a risk in plain English…

e.g, "What happens if a contractor exfiltrates customer data?"

or start from a template

Insider Threat

Claud Misconfiguration

Third-Party Breach

AI Surfaced

4 New

Unencrypted PII in staging DB

Critical

via AWS config

Stale admin credentials (90+ days)

High

via AWS config

Missing DLP on contractor endpoints

High

via CrowdStrike

S3 bucket publick read access

Medium

via AWS config

Risk Analysis

4 Critical

SELECTED RISK

Data Breach via Insider Threat

Annual Loss Expectancy

$2.4M

Threat Event Frequency

12.4 / yr

Vulnerability

0.68

Loss Magnitude

$340K

Contact Frequency

18.2 / yr

TOP RISKS BY ALE

Data Breach via Insider Threat

Critical

$2.4M

Ransomware Attack

Critical

$1.8M

Third-Party Data Exposure

High

$920K

Cloud Misconfiguration

What-If Simulation

+MFA enforcement

ALE

34%

Risk Analysis

4 Critical

SELECTED RISK

Data Breach via Insider Threat

Annual Loss Expectancy

$2.4M

Threat Event Frequency

12.4 / yr

Vulnerability

0.68

Loss Magnitude

$340K

Contact Frequency

18.2 / yr

TOP RISKS BY ALE

Data Breach via Insider Threat

Critical

$2.4M

Ransomware Attack

Critical

$1.8M

Third-Party Data Exposure

High

$920K

Cloud Misconfiguration

What-If Simulation

+MFA enforcement

ALE

34%

Cyber Risk Quantification (CRQ)

Assess risk with a methodology your team can stand behind

Zania combines evidence, business context, and external intelligence to generate quantified assessments with clear rationale (ALE, modified FAIR, Monte Carlo).

Zania collects evidence and validates them against trust centers, breaches, and public records to surface real risks.

Treatment & Remediation

Prioritize the actions most likely to reduce risk

Agents model treatment options, understand how changes affect assessed risk, and focus time and resources on the actions that matter most.

Treatment Decisions

Data Breach via Insider Threat

Mitigate

Transfer

Accept

Avoid

TOP REMEDIATIONS BY ALE REDUCTION

Implement endpoint DLP controls

In Progress

$820K

ALE reduction

Enforce MFA across all admin accounts

Approved

$640K

ALE reduction

Deploy SIEM correlation rules

Pending

$410K

ALE reduction

Restrict third-party API access scope

In Progress

$290K

ALE reduction

RISK-041 synced to Jira

SEC-2847 • Assigned

Treatment Decisions

Data Breach via Insider Threat

Mitigate

Transfer

Accept

Avoid

TOP REMEDIATIONS BY ALE REDUCTION

Implement endpoint DLP controls

In Progress

$820K

ALE reduction

Enforce MFA across all admin accounts

Approved

$640K

ALE reduction

Deploy SIEM correlation rules

Pending

$410K

ALE reduction

Restrict third-party API access scope

In Progress

$290K

ALE reduction

RISK-041 synced to Jira

SEC-2847 • Assigned

Risk Agent

I’ve completed the reassessment for Data Breach via Insider. The High rating (ALE: $2.1M) reflects the new MFA controls. Loss magnitude dropped 30% after DLP deployment.

CHANGE DETECTED

ALE: $3.0M → $2.1M (↓30%)

Loss Magnitude: $8.1M → $5.7M

UPDATES

We have strengthened our preventive controls for insider threats

We have improved detection capability across contractor endpoints

Describe a control improvement or new intel…

Audit Trail

v3.2

ALE recalculated: $3.0M → $2.1M

MFA + DLP controls applied

Today, 2:41 PM

v3.1

Controls updated by agent

2 preventive controls verified

Today, 2:38 PM

v3.0

Reassessment triggered

New threat intel ingested

Today, 11:20 AM

Risk Agent

I’ve completed the reassessment for Data Breach via Insider. The High rating (ALE: $2.1M) reflects the new MFA controls. Loss magnitude dropped 30% after DLP deployment.

CHANGE DETECTED

ALE: $3.0M → $2.1M (↓30%)

Loss Magnitude: $8.1M → $5.7M

UPDATES

We have strengthened our preventive controls for insider threats

We have improved detection capability across contractor endpoints

Describe a control improvement or new intel…

Audit Trail

v3.2

ALE recalculated: $3.0M → $2.1M

MFA + DLP controls applied

Today, 2:41 PM

v3.1

Controls updated by agent

2 preventive controls verified

Today, 2:38 PM

v3.0

Reassessment triggered

New threat intel ingested

Today, 11:20 AM

Continuous Monitoring

Stay ahead of changes across the risk portfolio

Continuously monitor signals across your environment, spot changes early, and generate reporting grounded in the latest view.

Zania collects evidence and validates them against trust centers, breaches, and public records to surface real risks.

Build a risk program your board won't second-guess

Frequently asked questions

How can AI automate internal risk assessments?

AI agents can execute the full assessment lifecycle: identifying risks from operational data, mapping existing controls, running quantitive or qualitative analysis, and producing findings cited to their source. Zania's agents do this end-to-end, so risk teams focus on decisions and strategy raher than manual data gathering and analysis.

How do you scale risk assessments across the enterprise?

Most teams can only deeply assess a fraction of their risk register due to the manual effort required per scenarion. AI-driven platforms like Zania break this constraint by executing assessments end-to-end, enabling teams to cover their full portfolio without scaling headcount.

What should enterpirses look for in risk quantification software?

The most important factors are methodology flexibility, integration with your operational data sources, defensibility of outputs for board and regulatory reporting, and the ability to simulate how control improvements impact your risk posture. Zania supports both FAIR-based quantitative analysis and qualitative scoring, with every finding cited to its source.

How do you keep risk assessments current instead of point-in-time?

Static assessments go stale as controls mature and environments change. Platforms like Zania reassess risks continuously as new data comes in from connected systems, maintaining a full audit trail of every change with before-and-after impact so your register always reflects your actual risk posture.

How is Zania differnt from traditional GRC platforms

Most GRC platforms help organize and track risk through registers, dashboards, and workflows. Zania's AI agents execute the assessment work itself: pulling operational data, producing evidence-cited findings, recommending treatments, and maintaining a continuous audit trail. Your team directs the strategy. The agents handle the execution.

Can Zania replace our existing risk register?

Yes. Zania includes a full risk register with scenario-level detail, severity tracking, trend indicators, treatment status, ownership, and due dates. If your team manages remediation through external tools, Zania integrates with those workflows directly.

How can AI automate internal risk assessments?

AI agents can execute the full assessment lifecycle: identifying risks from operational data, mapping existing controls, running quantitive or qualitative analysis, and producing findings cited to their source. Zania's agents do this end-to-end, so risk teams focus on decisions and strategy raher than manual data gathering and analysis.

How do you scale risk assessments across the enterprise?

Most teams can only deeply assess a fraction of their risk register due to the manual effort required per scenarion. AI-driven platforms like Zania break this constraint by executing assessments end-to-end, enabling teams to cover their full portfolio without scaling headcount.

What should enterpirses look for in risk quantification software?

The most important factors are methodology flexibility, integration with your operational data sources, defensibility of outputs for board and regulatory reporting, and the ability to simulate how control improvements impact your risk posture. Zania supports both FAIR-based quantitative analysis and qualitative scoring, with every finding cited to its source.

How do you keep risk assessments current instead of point-in-time?

Static assessments go stale as controls mature and environments change. Platforms like Zania reassess risks continuously as new data comes in from connected systems, maintaining a full audit trail of every change with before-and-after impact so your register always reflects your actual risk posture.

How is Zania differnt from traditional GRC platforms

Most GRC platforms help organize and track risk through registers, dashboards, and workflows. Zania's AI agents execute the assessment work itself: pulling operational data, producing evidence-cited findings, recommending treatments, and maintaining a continuous audit trail. Your team directs the strategy. The agents handle the execution.

Can Zania replace our existing risk register?

Yes. Zania includes a full risk register with scenario-level detail, severity tracking, trend indicators, treatment status, ownership, and due dates. If your team manages remediation through external tools, Zania integrates with those workflows directly.