INTERFACE Anchorage
Presented by Chris Blanding, Public Sector Security Sales Specialist • Juniper Networks
Context: Supported by AI, cybersecurity threat actors are accelerating both the speed and breadth of attacks. Every indicator, from increasing click rates on phishing emails to shrinking attacker breakout times suggests a sea change in the threat landscape. Consequently, integration and AI/ML-backed automation across a layered cybersecurity stack is more important than ever. Historically, cybersecurity solutions were developed to address specific threats. Consequently, as the number and diversity of threats grew the number and complexity of cybersecurity solutions in the system enterprise also grew, driving complexity, slowing response times, and ultimately reducing efficacy. SIEM, SOAR, and XDR platforms were developed to visualize cybersecurity telemetry across the system enterprise, investigate, and respond to threats. While these solutions greatly improved visibility and response they are unable to respond quickly and efficiently enough to stop AI-backed threats.
Approach: In addition to the broad adoption of layered security services providing visibility across the system enterprise, the solution is to leverage a strategically integrated, AI/ML-backed, enterprise security stack that accelerates detection and automates response.
Implications: While an integrated, AI-backed enterprise security stack will allow enterprises to stay ahead of cyber risk the impact on the system enterprise is far greater. By integrating security into the broad enterprise stack, you will mature network, application, and data visibility creating opportunities for more granular, targeted SLAs that ultimately impact uptime, quality of service, flexibility and speed. That makes businesses more competitive and public entities more responsive to citizens.