AI-Driven Secure Application Development
Key Points
- Sridhar Muppidi predicts AI’s most consequential role in the next 5‑10 years will be in building secure‑by‑default applications.
- Security teams are overwhelmed by data and skill gaps, and AI can boost detection accuracy, speed investigations, automate responses, and provide proactive threat protection.
- IBM has heavily invested in AI, embedding it in hundreds of products, with a flagship solution using behavioral‑biometric analysis for continuous user risk verification and adaptive authentication friction.
- Clients across multiple verticals (e.g., finance, telecom) are already leveraging IBM’s AI‑driven security to improve detection, accelerate investigations, and enhance automated response.
- The long‑term vision is that AI will reduce vulnerabilities and breaches industry‑wide, while IBM secures applications, data, and infrastructure across hybrid‑cloud environments, enabling confident digital transformation.
Full Transcript
# AI-Driven Secure Application Development **Source:** [https://www.youtube.com/watch?v=rH9-m7AhJhk](https://www.youtube.com/watch?v=rH9-m7AhJhk) **Duration:** 00:03:05 ## Summary - Sridhar Muppidi predicts AI’s most consequential role in the next 5‑10 years will be in building secure‑by‑default applications. - Security teams are overwhelmed by data and skill gaps, and AI can boost detection accuracy, speed investigations, automate responses, and provide proactive threat protection. - IBM has heavily invested in AI, embedding it in hundreds of products, with a flagship solution using behavioral‑biometric analysis for continuous user risk verification and adaptive authentication friction. - Clients across multiple verticals (e.g., finance, telecom) are already leveraging IBM’s AI‑driven security to improve detection, accelerate investigations, and enhance automated response. - The long‑term vision is that AI will reduce vulnerabilities and breaches industry‑wide, while IBM secures applications, data, and infrastructure across hybrid‑cloud environments, enabling confident digital transformation. ## Sections - [00:00:00](https://www.youtube.com/watch?v=rH9-m7AhJhk&t=0s) **AI Transforming Secure Application Development** - IBM Security CTO outlines how AI will reshape cybersecurity in the coming decade by automating detection, accelerating investigations, enabling proactive protection, and continuously verifying user risk through behavioral biometrics. ## Full Transcript
So where do I think AI will be in five to ten years?
While the possibilities are endless I believe the most consequential will be
secure application development name is Sridhar Muppidi,
I'm the CTO for IBM Security. Our clients are going through a digital
transformation journey, they're modernizing applications data
and infrastructure. IBM delivers a number of security
solutions to help our clients protect detect and respond,
but the reality is that security professionals
that use our offerings are inundated with
too many things to do, too much of data, very little time, and too few skills. AI
can have a huge impact on cyber security solutions
and the professionals. Since the inception of AI
we've learned that to make at the right AI system
we need the right data we need to train the AI model
on the right data test it for bias as well as to ensure that it is robust
on the solution side. AI can help us provide accuracy in detection ai can
help in accelerating the investigation and
automating the response it can also help provide proactive
mechanisms of protection so that you're safeguarding against
threats we made a massive investment on AI,
and IBM and 100 of our products use AI my favorite solution is how we use AI
to do a continuous verification of a user based on behavioral biometrics
this helps us evaluate the risk of a specific user for a specific session.
So based on that we're able to subject the user to right amount of friction.
If the risk is low we don't need to subject the user from multiple passwords
on the other hand if the risk is high you may want to prompt
the user for a password or even a second factor authentication.
We're very fortunate to have a large number of our clients using our
solutions across number of different industry verticals. A
few that come to my mind are Wimbledon suggested
as well as RGS Nordic this is exactly where we apply
AI's speed and accuracy to help create proactive protection improve
the accuracy of detection accelerate the investigation
as well as improve the automation in response. We have a lot more to learn
and evolve the maturity of AI in the next
few decades to come. While the possibilities are endless my
vision is for AI to develop secure applications by
default so that they are not as vulnerable and
reduce the number of breaches in the industry I believe IBM is well
poised to not only help with the secure application development,
but also secure data across hybrid cloud as well as secure
infrastructure this ability to secure the journey to hybrid cloud
will help our clients embrace digital transformation
with a lot more confidence.