Services
Data and Cybersecurity to Fight off Cyberattacks
Highlights
- Equip your enterprise to respond to the evolving threat landscape with lightning-fast, intelligence-driven AI SOCs that perform autonomous triage and investigations.
- Explainability and compliance through AI-powered operations, grounded by human-in-the-loop.
- Continuous learning and adaptability to advanced threats, contextual to industry-specific needs. Let’s dive deep.
In this article
Overview
The dawn of large-scale quantum computing poses an existential threat to Chief information security officers (CISOs) and security operations centre (SOC) managers across industries need to better manage cyber threat exposure by reducing dwell time for threat actors through quicker mean time to detect (MTTD) and mean time to respond (MTTR). This can be achieved through a reduction of blind spots within the environment and the use of agentic AI capabilities for near-autonomous operations grounded in the environment's context, through a human-in-the-loop approach. The proliferation of AI across business processes and its adoption by threat actors for offensive purposes make it imperative for defenders to level up to the challenge.
TCS AI SOC, enabled by Google SecOps, revolutionises managed detection and response (MDR) services by combining Google SecOps’ planet‑scale analytics with the TCS AI SOC workbench. Powered by AI agents, it supports multiple stages of the security incident response lifecycle, enabling intelligent and resilient cyber defence operations.
AI unlocks powerful opportunities but also introduces new cyber risks, making governance, visibility, and control essential. Google SecOps provides a unified, cloud‑native platform that correlates security data across multi‑cloud, on‑prem, and SaaS environments. TCS AI SOC workbench, enabled by Google SecOps, Google Threat Intel and Gemini, enhances SOC workflows with agentic investigations and intelligent automation.
The offering automatically triages alerts, reduces noise, enriches events, and creates clear attack narratives. This allows analysts to focus on high‑impact threats instead of manual alert review. By automating tier‑1 and tier‑2 tasks, TCS AI SOC delivers efficiency, reduces fatigue, and accelerates response.
Offering
TCS AI SOC, enabled by Google SecOps, delivers an intelligent, autonomous security operations platform by combining capabilities from Google SecOps, Google Threat Intel, and Gemini with TCS custom agents aligned to the human+AI maturity model.
AI SOC powered by Google SecOps combines Google’s hyperscale, cloud‑native security analytics platform with a purpose‑built TCS AI SOC workbench to modernise and transform security operations. The offering ingests and correlates security telemetry across multi‑cloud, on‑prem, endpoint, identity, and SaaS environments, creating a unified and scalable security data foundation.
The AI SOC workbench operates seamlessly with Google SecOps, augmenting traditional SOC workflows with agentic investigations and precise responses grounded in contextual intelligence. Instead of analysts manually reviewing thousands of alerts, TCS AI agents autonomously perform alert triage, noise reduction, enrichment, evidence collection, and investigation while maintaining human‑in‑the‑loop governance for high‑risk decisions.
By analysing millions of events in near real time and correlating them into MITRE‑aligned attack narratives, the AI SOC enables faster detection, reduced dwell time, and consistent response execution, allowing enterprises to shift from reactive monitoring to proactive, intelligence‑led security operations.
Benefits
Accelerates threat detection and response, reduces alert noise, and supercharges analyst productivity through AI‑driven triage, investigation, and automation.
Accelerated threat detection and response:
AI SOC significantly improves mean time to detect (MTTD) and mean time to response (MTTR) by leveraging AI‑driven correlation, proactive threat hunting, and automated investigations. Security teams move from hours or days of manual analysis to minutes of machine‑assisted decision‑making, limiting attacker dwell time and blast radius, and thereby reducing business impact.
Improved detection accuracy and reduced noise:
Through continuous learning and AI‑based suppression of false positives, the offering reduces alert fatigue and improves True Positive accuracy. Analysts are presented with context‑rich, high‑confidence incidents instead of raw alerts.
Autonomous SOC operations at scale:
Agentic AI automates tier‑1 and tier‑2 SOC activities, including triage, enrichment, investigation, and precision response actions. This enables scalable round-the-clock security operations without a linear increase in headcount or cost.
Enhanced analyst productivity and reduced burnout:
By automating repetitive, time‑consuming tasks, TCS AI SOC enhances security teams, enabling analysts to focus on threat hunting, complex investigations, and strategic improvements. reducing fatigue and burnout.
Secure and governed AI adoption:
The offering embeds governance, policy controls, and human approval checkpoints into AI‑driven workflows, enabling enterprises to adopt AI securely while meeting compliance, audit, and regulatory requirements.
The TCS ADVANTAGE
TCS AI SOC provides a scalable, future-ready offering with end-to-end visibility, governed autonomy, and reduced operational costs and analyst burnout.
It provides a unified AI layer of agents for triage and investigations, intelligence, hunting, etc., automation, and intelligence, bridging the gap between raw security data and actionable outcomes through genAI‑assisted reasoning and agent‑based execution.
End‑to‑end visibility and context: The offering delivers enterprise‑wide visibility across assets, identities, users, and cloud workloads, correlating events into clear attack stories that align technical risk with business impact.
Reduced operational cost: By optimising data pipelines, reducing noise, and automating SOC processes, TCS AI SOC helps lower operational effort and optimise SOC costs, while improving overall efficiency.
Future-ready, autonomous SOC model: TCS AI SOC establishes a foundation for SOC transformation, led by continuous learning and a self-optimising security operations model with agents that handle emerging threats, including AI-driven and unknown attack techniques.
Use cases
TCS AI SOC, enabled by Google SecOps, helps enterprises secure Cloud, hybrid, and AI workloads, delivering agentic, intel-driven capabilities that are scalable and adaptable to evolving threats.
24x7 threat detection and rapid response: Centralised, round-the-clock monitoring with threat context enrichment for precision containment and response using Google SecOps.
Proactive threat hunting: To uncover stealthy threats leveraging advanced analytics powered by context-rich intel.
Identity and insider threats: Identify malicious or compromised insiders and rogue Agents across the estate with risk indicators.
Multi-cloud threat coverage: Coverage across hybrid and multi-cloud workloads for unified visibility against cross-platform attacks.
Regulatory compliance: Continuous compliance monitoring, identifying policy violations, and meeting longer-term retention needs.