VOOZH about

URL: https://thenewstack.io/how-ai-is-reshaping-ciso-priorities/

⇱ How AI Is Reshaping CISO Priorities - The New Stack


TNS
SUBSCRIBE
Join our community of software engineering leaders and aspirational developers. Always stay in-the-know by getting the most important news and exclusive content delivered fresh to your inbox to learn more about at-scale software development.
REQUIRED
It seems that you've previously unsubscribed from our newsletter in the past. Click the button below to open the re-subscribe form in a new tab. When you're done, simply close that tab and continue with this form to complete your subscription.
The New Stack does not sell your information or share it with unaffiliated third parties. By continuing, you agree to our Terms of Use and Privacy Policy.
Welcome and thank you for joining The New Stack community!
Please answer a few simple questions to help us deliver the news and resources you are interested in.
REQUIRED
REQUIRED
REQUIRED
REQUIRED
REQUIRED
Great to meet you!
Tell us a bit about your job so we can cover the topics you find most relevant.
REQUIRED
REQUIRED
REQUIRED
REQUIRED
REQUIRED
Welcome!

We’re so glad you’re here. You can expect all the best TNS content to arrive Monday through Friday to keep you on top of the news and at the top of your game.

What’s next?

Check your inbox for a confirmation email where you can adjust your preferences and even join additional groups.

Follow TNS on your favorite social media networks.

Become a TNS follower on LinkedIn.

Check out the latest featured and trending stories while you wait for your first TNS newsletter.

PREV
1 of 2
NEXT
VOXPOP
As a JavaScript developer, what non-React tools do you use most often?
Angular
0%
Astro
0%
Svelte
0%
Vue.js
0%
Other
0%
I only use React
0%
I don't use JavaScript
0%
Thanks for your opinion! Subscribe below to get the final results, published exclusively in our TNS Update newsletter:
NEW! Try Stackie AI
From clobbered drafts to real-time sync
Apr 14th 2026 10:00am, by David Moore
TypeScript 6.0 RC arrives as a bridge to a faster future
Mar 14th 2026 9:00am, by Darryl K. Taft
Mastra empowers web devs to build AI agents in TypeScript
Jan 28th 2026 11:00am, by Loraine Lawson
2025-03-13 10:30:48
How AI Is Reshaping CISO Priorities
sponsor-gitlab,sponsored-post-contributed,
AI / AI Operations / Security

How AI Is Reshaping CISO Priorities

Despite the potential security challenges posed by generative AI, it also offers opportunities to improve the security of software development processes.
Mar 13th, 2025 10:30am by Josh Lemos
👁 Featued image for: How AI Is Reshaping CISO Priorities
GitLab sponsored this post.

Security teams have always had to adapt to change, but new developments that will play out this year could make 2025 particularly challenging. The accelerating pace of AI innovation, increasingly sophisticated cyber threats and new regulatory mandates will require CISOs to navigate a more complex landscape.

Vendors are rapidly adding AI-enabled features to existing products, and the foundational LLMs they are using present a new attack surface that malicious actors will try to exploit. CISOs will need to understand their level of exposure to these threats and how to mitigate them.

Simultaneously, the dynamic landscape of cybersecurity regulations, particularly in regions like the European Union and California, demands enhanced collaboration between security and legal teams to ensure compliance and mitigate risks. This convergence of new technologies and laws means CISOs must balance board-level compliance needs with novel security challenges to protect their organizations.

Despite the potential security challenges posed by generative AI, it also offers opportunities to improve the security of software development processes. By proactively identifying vulnerabilities and enabling greater automation, AI will help close the gap between developers and security teams.

Here are three trends that will dominate the enterprise security landscape in 2025.

LLMs Create Potential for Widespread Security Incidents

Software vendors are rushing to add AI-enabled features to their products, often using proprietary foundational LLMs. As attackers start to find vulnerabilities in these models, they will open a new attack vector with potentially wide-scale consequences. Industry consolidation increases risk.

Proprietary models reveal little information about their provenance or internal guardrails, making them much harder for security professionals to understand and manage. As such, attackers can embed malware or exploit lesser-known attack surfaces in a model’s feature space.

Because the industry relies heavily on a few proprietary LLMs, these attacks could have cascading effects throughout the software ecosystem, potentially leading to wide-scale outages or impacts.

Organizations Need Highly Adaptive Identity Management

The growth of cloud native and AI applications creates new challenges for identity management systems. Next year, access control must become more adaptive to address the increase in nonhuman, service-based identities.

Systems that manage identity and permissions have already been transitioning from their traditional static state to a more ephemeral and adaptable framework, reflecting the agility required for modern digital interactions. These needs will become even greater in the year ahead.

AI-driven applications, in particular, demand a solid understanding of transitive identities. These applications require systems that provide secure and efficient access, even as roles and needs constantly evolve.

Security Teams Will Scale DevOps Protection Using AI

In a recent survey, 58% of developers said they feel some degree of responsibility for application security. However, the demand for security-skilled DevOps professionals still outpaces supply.

AI will continue democratizing security expertise within DevOps teams by automating routine tasks, providing smart coding recommendations and further bridging the skills gap. Security will be integrated throughout the build pipeline, enabling the early identification of potential vulnerabilities at the design stage by leveraging reusable security templates that can be integrated into developer workflows.

Authentication and authorization will also be improved, with AI automatically assigning roles and permissions as services are deployed across cloud environments.

The net result will be improved security outcomes, reduced risk and enhanced collaboration between developers and their security peers.

Implement Advanced AI Systems To Fight Evolving Threats

As the technology landscape continues to evolve and cyber threats become increasingly sophisticated, CISOs must recognize the new threats that AI can present while embracing AI-powered solutions to stay ahead of them.

By using AI to automate security tasks, identify vulnerabilities and respond to threats in real time, organizations can strengthen their security posture and stay ahead of the fast-evolving threat landscape.

GitLab is the most comprehensive, intelligent DevSecOps platform for software innovation. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation.
Learn More
The latest from GitLab
TRENDING STORIES
Josh Lemos is the chief information security officer at GitLab Inc., where he brings 20 years of experience leading information security teams to his role. Josh has led security teams at numerous high-growth technology companies including ServiceNow, Cylance and most...
Read more from Josh Lemos
GitLab sponsored this post.
SHARE THIS STORY
TRENDING STORIES
Image from issaro prakalung on Shutterstock.
SHARE THIS STORY
TRENDING STORIES
TNS DAILY NEWSLETTER Receive a free roundup of the most recent TNS articles in your inbox each day.
The New Stack does not sell your information or share it with unaffiliated third parties. By continuing, you agree to our Terms of Use and Privacy Policy.