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Agari Phishing Response
Challenges of Phishing Incident Response
SOC Time is Valuable While employee reported phishing is important for breach threat intelligence, these reports can overwhelm Security Operations Center analysts due to the sheer number of reported phishing incidents—the majority of which turn out to be false. Many organizations receive tens of thousands of phishing incident reports per year, requiring analysts to correlate data from five or more tools, sift through tedious email logs, and then manually remove emails one by one from inboxes. Manual Phishing Incident Response is Inefficient It can take Security Operations Center analysts five hours or more to manually triage, investigate, and remediate a single phishing incident manually. With the average cybercriminal exfiltrating data from a breach within hours, that precious time can be the difference between preventing a breach and losing millions. The Agari Advantage- Prevent Impersonation. Keep your CEO and other key executives safe by preventing email impersonation by attackers.
- Block Zero-Day Attacks. Stop never-seen-before attacks from exploiting security gaps within your organization.
- Detect Account Takeovers. Discover attacks from compromised email accounts before they result in financial or information loss.
Key Capabilities
Contain and Remediate Incidents Automatically in Minutes By streamlining response times and automatically removing malicious emails from inboxes, Agari Phishing Response contains breaches in minutes instead of months. Agari Phishing Response provides an end-to-end automated phishing playbook that integrates with Microsoft Office 365 to handle employee phishing reports, triage them, discover similar phishing campaign emails, perform forensic analysis, and then automate the remediation process.-
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The ROI4CIO Product Catalog is a database of business software, hardware, and IT services. Using filters, select IT products by category, supplier or vendor, business tasks and problems. Find the right business solutions by using a neural network search based on the results of deployment products in other companies.