Shared vendor ecosystems and slow cyber response cycles expose India's BFSI to AI-driven attacks

As AI compresses exploit timelines, banks and financial institutions are reassessing third-party risk, platform consolidation and SOC modernisation strategies.

AI is exposing structural weaknesses across India’s BFSI ecosystem, particularly around shared vendor environments, fragmented cyber operations and slower enterprise response models, according to a joint report from the Data Security Council of India (DSCI) and Boston Consulting Group (BCG).

Banks, insurers and financial institutions are still operating on cyber models built for slower-moving threats even as attackers use AI to automate reconnaissance, exploit discovery and social engineering attacks.

India’s BFSI sector now experiences cyberattacks at 1.6 times the global average, while reported incidents have risen from 1.4 million in 2021 to 2.9 million in 2025, the report said.

CISOs are concerned about third-party and supply chain exposure as financial institutions grow more dependent on shared technology providers, cloud platforms, and API-driven integrations.

The report warns that a “single vendor disruption can cascade across multiple financial institutions” simultaneously because the sector operates on concentrated technology ecosystems supporting payments, lending, account aggregation, KYC and digital banking operations.

This is changing how CISOs view cyber resilience. Instead of treating vendor security as a procurement or compliance exercise, institutions are starting to treat vendors as extensions of the enterprise itself.

Indian BFSI firms continue to rely heavily on periodic vendor reviews even though AI-powered attacks now move much faster than traditional governance cycles.

“Third parties are no longer outside the enterprise. They are part of the cyber operating model and must be governed as extensions of business risk,” the report said.

AI compresses response windows

The report “Cybersecurity in the Age of AI: Building a Synchronous BFSI Enterprise” highlights that AI is significantly reducing the time between vulnerability discovery and exploitation.

Attack timelines that previously took months have now shrunk to days or even immediate exploitation in some cases.

This is creating pressure on security teams already struggling with fragmented infrastructure, patch management complexity and expanding attack surfaces.

The report identifies visibility into third-party dependencies and software exposure as one of the weaker areas across BFSI cybersecurity readiness. Organisations often lack real-time understanding of which vendor components, APIs or software dependencies are exposed during a cyber event.

The challenge becomes larger in AI-driven attack environments where exploit generation, phishing customisation and vulnerability chaining are becoming increasingly automated.

AI-enabled social engineering and identity attacks are now emerging as the dominant threat category for Indian BFSI institutions.

The report also notes growing concerns around data leakage through generative AI tools, shadow AI deployments and unsanctioned AI usage inside organisations.

This is forcing security teams to rethink traditional response cycles.

Many institutions still operate with siloed coordination between security, operations, business teams and vendors, creating delays during incident response and remediation.

The report argues that these slower operational models are increasingly incompatible with AI-driven threat environments.

Platform consolidation gathers pace

The growing complexity is also changing procurement and platform strategies across Indian BFSI organisations.

Instead of adding more standalone tools, many institutions are now consolidating vendors and security platforms to improve integration, visibility and operational coordination.

The report found that identity and access management (IAM), security information and event management (SIEM), security orchestration, automation and response (SOAR) and data security platforms are seeing the highest consolidation intent over the next 12 months.

For CISOs, the priority is no longer just reducing cost. Instead, the focus is shifting towards tighter integration, unified visibility and faster response coordination across environments.

More than half of respondents said tighter integration and single-pane visibility are the primary reasons for consolidation initiatives.

This is creating opportunities for platform vendors, MSSPs and security service providers capable of delivering integrated security operations rather than isolated point products.

AI-driven SOC modernisation is also emerging as a major investment area.

According to the report, 71 percent of Indian BFSI firms have already reached AI-assisted SOC maturity or beyond, while 60 percent are integrating AI analytics into SIEM and SOAR environments for real-time threat correlation.

Organisations are deploying AI for automated triage, fraud detection, alert enrichment, anomaly detection and vulnerability prioritisation. However, most institutions are still cautious about fully autonomous security operations.

The report notes that human oversight continues to remain central for higher-severity incident handling and decision-making.

Governance gap widens

While BFSI firms are accelerating AI adoption inside cyber operations, governance maturity continues to lag. Only 29 percent of organisations said they have both a defined AI security owner and formal AI governance policies in place.

The report warns that AI adoption inside enterprises is expanding faster than governance frameworks, particularly around non-human identities, AI agents, runtime controls and shadow AI monitoring.

This is creating a new operational challenge for security teams because AI is now present both inside the enterprise and inside attacker toolkits.

The report argues that cybersecurity can no longer remain a standalone CISO-led function.

Instead, Indian BFSI institutions need synchronised operating models where business, technology, risk, compliance, legal and vendor ecosystems coordinate continuously rather than through isolated workflows.

This creates opportunities for channel partners, MSSPs and platform vendors supporting SOC modernisation, AI governance and third-party risk visibility.

The report makes it clear that the challenge is not about deploying more security tools. The larger issue is whether Indian BFSI institutions can move fast enough operationally to defend increasingly interconnected and AI-driven ecosystems exposed to machine-speed attacks.