Pricing

Automate your ChainAware.ai security reports

Swiftask orchestrates your ChainAware.ai data to build intelligent security reports, delivered effortlessly to your team.

Result:

Save hours of weekly reporting and ensure continuous monitoring of your digital assets.

The burden of manual security reporting

Manually compiling security data from ChainAware.ai is a major source of inefficiency. Teams spend too much time extracting, formatting, and distributing reports instead of fixing identified vulnerabilities.

Main negative impacts:

Limited threat reactivity: The delay between detection in ChainAware.ai and report communication slows down decision-making.
Human error risks: Manual handling of critical data increases the risk of omissions or errors in the final reports.
Information silos: Reports don't always reach the right stakeholders at the right time, stalling remediation.

Swiftask automates the lifecycle of your ChainAware.ai reports: data retrieval, AI analysis, and targeted delivery to your stakeholders.

BEFORE / AFTER

What changes with Swiftask

Without Swiftask automation

An analyst downloads ChainAware.ai logs, cleans them in Excel, writes a summary, and emails it. This process takes 4 hours every Monday.

With Swiftask + ChainAware.ai

Swiftask queries ChainAware.ai, generates an AI-powered summary, and sends it automatically to Slack or Teams whenever needed.

Setting up your reporting in 4 steps

STEP 1 : Connect to ChainAware.ai

Integrate your ChainAware.ai credentials into Swiftask to enable secure reading of your security feeds.

STEP 2 : Define analysis rules

Set the criteria that trigger report generation (e.g., criticality threshold, frequency, asset type).

STEP 3 : Configure distribution

Choose delivery channels (Email, Teams, Slack) and recipients for each report type.

STEP 4 : Activate and monitor

Start the Swiftask agent that will process your ChainAware.ai data continuously without intervention.

AI analysis and reporting capabilities

Swiftask interprets raw ChainAware.ai data to prioritize threats and contextualize incidents.

Target connector: The agent performs the right actions in chainaware.ai based on event context.
Automated actions: Executive summary generation, key metric extraction, anomaly alerts, automated report archiving.
Native governance: All generated reports are traceable and stored in your Swiftask history.

Each action is contextualized and executed automatically at the right time.

Each Swiftask agent uses a dedicated identity (e.g. agent-chainaware.ai@swiftask.ai ). You keep full visibility on every action and every sent message.

Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.

Strategic benefits for your CISO

1. Operational time savings

Eliminate repetitive reporting tasks for your security analysts.

2. Enhanced compliance

Ensure perfect traceability of your monitoring activities.

3. Transparent communication

Distribute clear information to business and technical teams.

4. No-code agility

Adjust your report templates in a few clicks without development.

5. 24/7 monitoring

Your reports are ready even outside of business hours.

Security and privacy

Swiftask applies enterprise-grade security standards for your chainaware.ai automations.

Data encryption: Data moving between ChainAware.ai and Swiftask is encrypted.
Access isolation: Your API keys are stored in a secure and isolated environment.
Continuous audit: Every report generation is logged for your audit needs.

To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.

RESULTS

Impact on your productivity

Metric	Before	After
Preparation time	Several hours per week	Real-time (automated)
Remediation delay	Dependent on human reading	Immediate reduction
Data accuracy	Risk of manual error	Algorithmic reliability

Take action with chainaware.ai

Save hours of weekly reporting and ensure continuous monitoring of your digital assets.

Accelerate IT incident response with Swiftask and AI

Next use case