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The Race Against Q-Day: Preparing Your Enterprise for Quantum Computing Threats

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Manage episode 481018923 series 3499431
Content provided by Evan Kirstel. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Evan Kirstel or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

Interested in being a guest? Email us at [email protected]

The digital landscape has reached a tipping point. In this eye-opening conversation with David Holmes, CTO for Application Security at Imperva (a Thales division), we uncover the alarming reality that machines now dominate internet traffic. For the first time in over a decade, bot traffic has surpassed human activity online – and a staggering 37% of all traffic is malicious automation.
Quantum computing's looming threat to our encryption infrastructure takes center stage as David explains the race to develop quantum-resistant algorithms before "Q-Day" arrives. The cybersecurity community faces the monumental task of gracefully transitioning the entire internet to new encryption standards that can withstand quantum attacks. Meanwhile, enterprises must focus on protocol agility, learning from past transitions to prepare for this inevitable shift.
The conversation shifts to the AI security paradox currently facing organizations worldwide. While companies rush to develop AI-enabled applications, most admit they haven't thought through security implications. Simultaneously, attackers are leveraging AI to create increasingly sophisticated bots that evade detection. This AI arms race extends to API security, where the programming interfaces powering our digital economy face growing threats. With the API security market expanding 27% annually, organizations must move beyond merely discovering their API endpoints to implementing robust security measures.
The recent Imperva acquisition by Thales has created a cybersecurity powerhouse combining Imperva's application security expertise with Thales massive global presence serving 100,000 customers across 30 industries in 100 countries. This strategic integration positions them uniquely to address the convergent challenges of quantum computing, AI security, and the bot-dominated internet landscape we now inhabit.
Want to learn more about securing your organization in this new reality? Explore how Talus and Imperva are helping enterprises prepare for both immediate threats and long-term security challenges. Connect with us today to protect your mission-critical applications in an environment where machines – not humans – dominate digital traffic.

Support the show

More at https://linktr.ee/EvanKirstel

  continue reading

Chapters

1. Introduction to Talus and Leadership (00:00:00)

2. Post-Quantum Security Challenges (00:00:46)

3. Imperva Acquisition by Talus (00:01:38)

4. Bad Bots Surpassing Human Traffic (00:04:30)

5. API Security and AI Threats (00:05:32)

6. Future Directions in Application Security (00:07:33)

406 episodes

Artwork
iconShare
 
Manage episode 481018923 series 3499431
Content provided by Evan Kirstel. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Evan Kirstel or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

Interested in being a guest? Email us at [email protected]

The digital landscape has reached a tipping point. In this eye-opening conversation with David Holmes, CTO for Application Security at Imperva (a Thales division), we uncover the alarming reality that machines now dominate internet traffic. For the first time in over a decade, bot traffic has surpassed human activity online – and a staggering 37% of all traffic is malicious automation.
Quantum computing's looming threat to our encryption infrastructure takes center stage as David explains the race to develop quantum-resistant algorithms before "Q-Day" arrives. The cybersecurity community faces the monumental task of gracefully transitioning the entire internet to new encryption standards that can withstand quantum attacks. Meanwhile, enterprises must focus on protocol agility, learning from past transitions to prepare for this inevitable shift.
The conversation shifts to the AI security paradox currently facing organizations worldwide. While companies rush to develop AI-enabled applications, most admit they haven't thought through security implications. Simultaneously, attackers are leveraging AI to create increasingly sophisticated bots that evade detection. This AI arms race extends to API security, where the programming interfaces powering our digital economy face growing threats. With the API security market expanding 27% annually, organizations must move beyond merely discovering their API endpoints to implementing robust security measures.
The recent Imperva acquisition by Thales has created a cybersecurity powerhouse combining Imperva's application security expertise with Thales massive global presence serving 100,000 customers across 30 industries in 100 countries. This strategic integration positions them uniquely to address the convergent challenges of quantum computing, AI security, and the bot-dominated internet landscape we now inhabit.
Want to learn more about securing your organization in this new reality? Explore how Talus and Imperva are helping enterprises prepare for both immediate threats and long-term security challenges. Connect with us today to protect your mission-critical applications in an environment where machines – not humans – dominate digital traffic.

Support the show

More at https://linktr.ee/EvanKirstel

  continue reading

Chapters

1. Introduction to Talus and Leadership (00:00:00)

2. Post-Quantum Security Challenges (00:00:46)

3. Imperva Acquisition by Talus (00:01:38)

4. Bad Bots Surpassing Human Traffic (00:04:30)

5. API Security and AI Threats (00:05:32)

6. Future Directions in Application Security (00:07:33)

406 episodes

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