A10 Networks provides secure, scalable application services for on-premises, cloud and edge-cloud environments.

Joined September 2009
9,633 Photos and videos
AI gives security teams speed and scale. But human judgment, context, and critical thinking are still irreplaceable. The strongest security posture combines both. Read more: bit.ly/45Vl5CR
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What makes A10 AI Firewall Different? Take a tour of the product and schedule a demo at the link. bit.ly/41XQl2B
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The biggest web app security risks in 2026 aren't new. But the speed and scale of exploitation have changed. Injection attacks, broken authentication, API authorization failures, data leakage, and misconfigurations continue to drive enterprise risk. ➡️ bit.ly/4nMFZwq
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BOLA is the #1 API security risk in the OWASP API Security Top 10, and it has been behind some of the most damaging breaches in recent memory. A10's Carlo Alpuerto and Randy Franklin Smith break down how to stop attackers. Watch on demand. ▶️ bit.ly/429nmss
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DDoS attack volume rose 350% in early 2025, surpassing 6 terabits. 📈 Attackers are growing more sophisticated, with APIs and API gateways increasingly in the crosshairs. A10's 2025 Global DDoS Weapons Report has the full breakdown. ➡️ bit.ly/4apifYX
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In LLM environments, natural language is an execution vector, and attackers are already exploiting it through prompt injection, data leakage, and abuse of inference endpoints. Read A10's guide to LLM security in 2026. ➡️ bit.ly/4e0KNvn
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A10 is hiring! We have a variety of AI/ML engineering, security research, and IT roles at our San Jose location. Apply today on our Careers page: bit.ly/4cOU5JU
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A 19-day analysis of 126,875 DDoS attacks revealed one Dutch subnet targeted by 11 different amplification vectors. The activity stood out from typical single-vector attacks and offers useful lessons for defenders. Read more: bit.ly/3RTjN81
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WAFs rely on rigid rules and pattern matching. Natural language doesn't work that way, and attackers know it. A10's Arjoyita Roy and Luca Labardini explain why securing LLM environments requires a non-deterministic approach. 🔐 youtube.com/shorts/gNvU8gwrg…
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Autonomous AI agents are moving fast. Security teams are still figuring out how to keep up. Join us on June 18 at 1:00 PM ET for an expert-led summit covering identity, access, and risk management for agentic systems. 🔐 Register now: bit.ly/4wSSdrx
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APIs now account for over 80% of web traffic and have become attackers' prime target. Industry analysts are calling for integrated, platform-based protection across WAF, API security, bot defense, and L7 DDoS. Read more. ➡️ bit.ly/4nA4nkD
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49% of respondents identify security as their biggest limitation with AI We built a tool to help. Schedule a live demo today. bit.ly/41XQl2B
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AI agents are powerful, but they need security guardrails. A10's Diptanshu Purwar explains how AI firewalls verify agent inputs and outputs against enterprise policies to ensure compliance and operational coherence. ▶️ youtube.com/shorts/5rHUo3V5W…
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A web app’s day is constant pressure from bot traffic, broken clients, traffic spikes, and active attacks hitting at the same time. ADC and WAF resilience keep services available by filtering threats early, balancing load, and more. bit.ly/3QAp6bJ
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AI introduces a completely new set of security and governance risks. Enterprises can mitigate risks through layered controls spanning governance, applications, data, and infrastructure to enable secure, scalable AI adoption. Learn how 👉 bit.ly/4mnwrXS
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A10 Networks' AI Firewall protects against prompt injection, jailbreaking, sensitive data exfiltration, and toxic AI outputs by default. Threat detection maps in real time to the OWASP Top 10 for LLMs, MITRE, and NIST, so security teams get proper context, not just raw alerts.
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Is your infrastructure ready for AI? This on-demand webinar covers how to spot gaps that slow adoption, secure and scale hybrid cloud environments, and take practical steps to future-proof your stack. Watch here: bit.ly/4sJES1n
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Here's what an AI-native security layer should actually do. 👉
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20% of Finserv IT pros say keeping up with application scale and growth is their biggest delivery challenge. New Gatepoint research reveals where load balancing is falling short. ➡️ bit.ly/3Sn3cqd
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.@Gartner_inc predicts 40% of enterprises will decommission AI agents by 2027 because governance failed to keep pace with deployment. The risk comes from the permissions granted to it. Proportional governance is the fix. ➡️ bit.ly/4x1HpYi via @CIOdive
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