Application security in the era of AI An actionable playbook for CISOs

Agenda Introduction The impact of AI on application security Key considerations for CISOs for AI adoption Pros and cons of AI adoption within application security Actionable plan for secure AI Integration Q&A

appknox.com AI in application security - Powerful ally or potential threat? Source: 2021 Gartner State of AI Cyber Risk Management Study 100 50 00 26% 36% 26% CISOs across the globe think AI risk is likely to materialize 36% are concerned about AI risk How many of you think, your company's current portfolio, is secured against potential AI tampering? Scan now to answer Poll question

appknox.com How does AI really impact application security? And how does it matter to enterprises and SMBs Enhanced threat detection Predictive analysis Automation of routine tasks The opportunities

appknox.com How does AI really impact application security? And how does it matter to enterprises and SMBs Increased attack surface False positives and negatives Lack of explainability The downsides

appknox.com Formulating the security strategy Key considerations for CISOs while leading the way Emphasize AI’s strategic role Risk assessment & mitigation Data governance & privacy Source: March 2023 Through April 2023 Gartner Peer Community Research: Generative AI and ChatGPT: Adoption and Use Data Collection Fact: 47% of organizations have not created a policy around acceptable use of ChatGPT.

appknox.com Secure development practices Continuous monitoring & adaptation Integration with existing security infrastructure Human oversight & governance Formulating the security strategy Key considerations for CISOs while leading the way

appknox.com Top 3 action points to get started Setting priorities and best practices Establish a robust training program Ensure that security teams are well-trained in AI technologies. Why is this important? AI technologies introduce a new set of skills and knowledge requirements and a well-trained security team can effectively leverage AI tools, interpret results, and respond to potential threats. Implementation tip Develop customized training programs that cover both the theoretical and practical aspects of AI in cybersecurity. Encourage certifications in AI security for security professionals.

appknox.com Top 3 action points to get started Setting priorities and best practices Implement explainable AI Prioritize AI models that provide transparency and explainability. Why is this important? Explainable AI allows security teams to understand the decision-making process of AI models, increasing trust and accuracy thus facilitating effective collaboration. Implementation tip Choose and implement AI models that offer transparent decision-making processes. Regularly communicate the rationale behind AI-driven security decisions to build trust within the organization.

appknox.com Top 3 action points to get started Setting priorities and best practices Foster cross functional collaboration Encourage communication and collaboration between security, AI, and application development teams. Why is this important? Successful AI integration requires a collaborative effort between various teams to align security objectives, address challenges, and ensure a holistic approach. Implementation tip Establish cross-functional teams that include members from security, AI, and application development. Conduct regular meetings to discuss ongoing projects, address challenges, and share insights.

Questions?

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Harshit's entrepreneurial spirit has propelled Appknox to success, collaborating with 500+ businesses and impacting cybersecurity. Harshit Agarwal Co-founder & CEO, Appknox Leveraging years in enterprise security, Subho (AFE mastermind) is recognized for uncovering critical vulnerabilities in tech giants (Google, Apple, etc.) and is a seasoned speaker at BlackHat, Defcon, and more. Subho Halder Co-founder & CISO, Appknox [email protected] | www.appknox.com Happy to hear from you