Security executives invest heavily in AI technologies to alleviate escalating financial burdens
In the face of mounting cybersecurity challenges, Chief Information Security Officers (CISOs) are under pressure to adapt and evolve. According to industry expert Buffomante, CISOs need to transition from technologists focused on preventing and reacting to breaches, to risk strategists optimising enterprise cyber resilience with a risk-adjusted, outcome-oriented mindset.
Wipro's 2025 cybersecurity initiatives, as outlined in the 2025 State of Cybersecurity Report, emphasise the use of AI-focused strategies. These strategies include:
- AI-Powered Security Operations Centers (SOCs): Leveraging automated, real-time detection and response capabilities to improve the speed and accuracy of threat identification and remediation. Wipro's AI SOC, powered by CrowdStrike, is a prime example.
- Next-Gen Security Information and Event Management (SIEM): Integrating AI to provide real-time visibility, reporting, and automated response, effectively scaling security operations and reducing infrastructure costs.
- Managed Detection and Response (MDR) Services: Combining AI-powered tools with expert analysis to enhance threat detection efficacy while optimising operational costs.
- Responsible and Agentic AI Frameworks: Embedding governance, risk assessment, and safety controls early in AI development to ensure secure and trustworthy AI applications in cybersecurity workflows.
These strategies collectively enable CISOs to optimise costs by automating routine detection and response tasks, scaling security infrastructure flexibly, and improving operational efficiency through AI's predictive analytics and real-time threat intelligence.
However, the journey towards AI-driven cybersecurity is not without challenges. Increased technological complexity, constantly evolving regulations, and a rise in sophisticated cyber threats across multi-hybrid cloud environments create daunting challenges for security teams.
To address these challenges, more than half (55%) of security leaders are prioritising the implementation of LLM guardrails. Three-in-ten security leaders are investing in AI automation to bolster cybersecurity operations and reduce costs. However, seven-in-ten respondents listed integration with legacy systems as a prominent challenge, and nearly eight-in-ten organisations are prioritising investment in Secure Access Service Edge (SASE).
Data quality and privacy concerns are another significant hurdle, with three-quarters of respondents citing it as the biggest difficulty in implementing effective AI-driven cybersecurity solutions. Lack of expertise is also a challenge for three-quarters of tech leaders, forcing them to depend on external resources or undertake costly upskilling programs. Budgetary constraints affect a similar number of respondents, due to the need for significant investments in hardware components and software licenses, along with continuous system monitoring and maintenance.
CISOs are targeting tool sprawl to optimise costs by evaluating and consolidating duplicate security tools across platforms. Nearly eight-in-ten organisations are prioritising investment in IoT device management and security, and 97% of respondents identified Zero Trust security frameworks as a top investment priority.
In conclusion, Wipro's 2025 cybersecurity initiatives reflect a shift towards AI-driven strategies to optimise costs, improve operational efficiency, and enhance cyber resilience. While the journey is fraught with challenges, the benefits of adopting these strategies are clear. As Buffomante aptly puts it, "CISOs must evolve from technologists who merely prevent and react to breaches, to risk strategists focused on optimising enterprise cyber resilience."
References: 1. Wipro's AI SOC powered by CrowdStrike: https://www.wipro.com/services/security/ai-security-operations-center/ 2. Responsible and Agentic AI Frameworks: https://www.wipro.com/services/ai/responsible-ai/
- With Wipro's 2025 cybersecurity vision moving towards AI-driven strategies, CISOs are expected to improve operational efficiency through AI's predictive analytics and real-time threat intelligence, while optimizing costs by automating routine tasks and scaling security infrastructure.
- In the realm of remote work, CISOs are utilizing AI-Powered Security Operations Centers (SOCs) and Next-Gen Security Information and Event Management (SIEM), leveraging their real-time detection and response capabilities, to safeguard the finance sector's digital assets from growing cyber threats.
- As business environments increasingly rely on artificial-intelligence, CISOs can mitigate risks through Responsible and Agentic AI Frameworks, ensuring secure and trustworthy AI applications in workflows, and adopting a risk-adjusted, outcome-oriented mindset as confronted by industry expert Buffomante.
