Can your organization execute at the speed that AI demands? Explore PwC's approach to frontier AI-driven cybersecurity.
Leading AI models (frontier AI) are revolutionizing cybersecurity, heralding a future free from the cat-and-mouse game of plugging holes in porous defenses. PwC is collaborating with the leading AI and cybersecurity companies to make that future a reality now. With our expertise in cyber transformation and trust, PwC can help clients use frontier AI to rapidly address existing vulnerabilities; develop natively secure agents and applications; and modernize security operations.
“AI isn’t just changing the tools we use; it’s rewriting the rules of engagement in cybersecurity.”
Source: “Agents of change,” PwC, April 2026
PwC helps organizations strengthen their cybersecurity posture through holistic vulnerability and exposure management tailored to today's rapidly evolving threat landscape.
As cyber threats grow in frequency and sophistication, we collaborate with clients to proactively identify, assess, and prioritize vulnerabilities across networks, applications, and endpoints, focusing remediation on the most critical threats. By leveraging advanced technologies, data analytics, and real-time threat intelligence, PwC helps enhance visibility and orchestrate remediation at machine speed into your security environment.
In today’s rapidly evolving AI landscape, PwC helps organizations transform their application security (AppSec) programs to keep pace with emerging capabilities. We guide our clients to integrate security early and continuously throughout the development lifecycle, enabling them to build secure applications without hindering innovation. We assist organizations in embedding security practices directly into DevOps workflows, fostering collaboration between development, security, and operations teams. PwC champions the “shift-left” approach, helping clients reduce risk by detecting vulnerabilities early and prioritizing risk-based decision-making that aligns security efforts with business impact.
By collaborating with PwC to adopt a frontier AI AppSec model, organizations can better defend against more sophisticated attacks, accelerate secure software delivery, and more confidently deliver value in today’s AI-driven, interconnected world.
Agentic AI is reshaping the assumptions that enterprise controls were built around. Where transactions were once authored by people, processed within defined system boundaries, and recorded inside individual applications, AI agents now compose transactions across multiple platforms at machine speed, often through orchestration layers that traditional control frameworks were not designed to govern. The space between what is controlled and what is actually happening is widening, and it is where risk now concentrates.
PwC helps clients close that gap. We work with organizations to re-engineer controls so they operate as code: continuous, transaction-aware, and embedded directly within the platforms that run the business. This is supported by deep enterprise systems expertise, regulatory experience across the major compliance regimes, and a portfolio of proprietary accelerators that help compress design timelines and bring repeatable rigor to each engagement.
In practice, this means surfacing the new failure modes that emerge in agentic systems: privilege chains across agent handoffs, process controls defeated by transaction chaining and exception handling, and configurable controls (validation rules, tolerance limits, approval thresholds) modified outside change management or bypassed through agent decision paths. Traditional access reviews and periodic testing miss them, and PwC has developed proprietary methods to detect and remediate them. Transactions carry verifiable identity end-to-end, and the orchestration layer is governed as a Tier-1 system — access, configuration, change, and monitoring included. The result: Clients adopt AI with confidence, with controls that evolve at the pace of the technology itself.
PwC’s AI security and governance offering delivers the controls, evidence, and operating model to adopt AI at scale without compromising security, risk, or regulatory posture.
With this approach, AI deployments can move faster and with greater confidence, backed by the configuration standards and risk artifacts that security, risk, and compliance teams need to approve them: Protection runs across the full AI lifecycle, and controls can cover secure development, deployment, runtime monitoring, and AI-specific incident response. Sensitive data is protected as it flows into models, through agents, and across integrations, with classification, access controls, and leakage prevention built for how AI actually consumes information. This may include the threats that traditional security stacks may miss: prompt injection, data poisoning, model exfiltration, and agent misuse.
Securing AI is not optional, nor is it getting easier. PwC brings the sector experience, technical depth, and regulatory fluency to help organizations get it right the first time, across every industry adopting AI at scale.
PwC modernizes Security Operations Centers (SOCs) by harnessing frontier AI to transform cyber detection, triage, containment and response. A modern SOC needs to run at machine speed and stay ahead with an AI-first operating model.
We help our clients overcome challenges faced by traditional SOCs, such as alert overload, slow response times, and limited visibility by integrating AI, advanced analytics, and automation to streamline threat detection and accelerate incident response.
To drive transformation, our approach emphasizes real-time monitoring combined with proactive threat hunting and intelligence-driven insights. Collaborating with PwC to modernize the SOC empowers organizations to help reduce risk exposure, increase operational efficiency, and more confidently safeguard their most critical assets within an increasingly complex cyber threat landscape.