11 slides from Check Point Software Technologies's technical presentation, October 2024
Slide 1: Leading DDoS Protection
Leading DDoS Protection Itay Raviv, Security Product Manager, DDoS October 2024 ©2024 Check Point Software Technologies Ltd. 1
Slide 2: Shifting Threat Landscape
Shifting Threat Landscape +94% Increase in number of 82% Experience a bot attack +171% Increase in malicious web DDoS attacks, on a daily, weekly or traffic, 2023 vs. 2022 2023 vs. 2022 monthly basis Attacks increase in frequency, size and complexity across all attack vectors Source: Radware Threat
Slide 3: What is Fueling the Shifting Threat Landscape?
What is Fueling the Shifting Threat Landscape? AI-Powered Revolution Attackers’ “Community” Growing Attack Tools Attackers’ Evolving Motivations Shifting ©2024 Check Point Software Technologies Ltd. 3
Slide 4: All-in-One Modern Attack Tools on Github
All-in-One Modern Attack Tools on Github DDoS attack vectors Bot attack vectors Web application exploits Attackers don’t distinguish between WAF, DDoS, Bot attack vectors Built-in bypass again common defenses Need an integrated platform to overcome all-in-one attack tools ©2024 Check Point Software
Slide 5: Growing Community of Attackers
Growing 1 Gamers Turning Attackers Community of Attackers 4 of 5 700M 30% attackers involved new players cracked account in ATO & DDoS are emerged since market traffic Gamers COVID comes from gaming sites 2 Breadth & Depth of Online Networks Social networks More marketplaces & as billboards hackin
Slide 6: What is Needed to Stay Ahead
What is Needed to Stay Ahead INTELLIGENT INTEGRATED SECURITY PLATFORM -PO WERE A I D Protecting Your Applications & Infrastructure AI- POWERED CONSISTENT EXPERT PROTECTIONS DEFENSE ©2024 Check Point Software Technologies Ltd. 8
Slide 7: Flexible Deployment Modes
Flexible Deployment Modes Cloud Service Hybrid Appliance Always-On & On-Demand Integrated Cloud & Appliance Physical / Virtual ©2024 Check Point Software Technologies Ltd. 11
Slide 8: Unique Behavioral-based Detection
Unique Behavioral-based Detection Radware uses machine-learning algorithms to automatically distinguish between legitimate user traffic and attack traffic. DDoS Protector Others BEHAVIORAL-BASED DETECTION RATE-BASED DETECTION Superior security with fewer false- positives ©2024 Check Point Software T
Slide 9: Built to Protect From Advanced Attacks
Built to Protect From Advanced Attacks Carpet DNS Burst Encrypted IoT Bombing Attacks Attacks Threats Botnets Attacks Automated Behavioral- Multi-layer Real-time Amplification Behavioral DNS Based Burst TLS-Flood intelligence feed & Reflection Protection attack protection protection to block active
Slide 10: Multi-Layered Protection
Multi-Layered Protection DDoS Protection Blocking Unknown Attacks ERT SUS (Security Update Subscription) Blocking Known Attacks ERT Active Attackers Feed Blocking Known Attackers Your Protected Location Based Mitigation Network Blocking Hostile Origins Playblocks & Quantum FWs Proactive Blocking ©20
Slide 11: Transition
Transition ©2024 Check Point Software Technologies Ltd. 19