AI Agents Set to Redefine Enterprise Productivity, Security, and Software Development in 2026: Insights from Rajeev Ranjan, Rohan Vaidya, and Vivek Ganesh
To be attributed to Rajeev Ranjan, CTO, Atlassian
“In the future, the role of AI in software development will have evolved far beyond accelerating code generation. Today, code writing is just a small fraction of a developer’s workload—but in the near future, every developer will be working within an AI-native software development lifecycle. We predict that every developer will have an AI agent embedded at every stage of their workflow—from software planning and design, to production and code review, to incident management and beyond. This shift will fundamentally empower developers to have more room for creativity and complex problem-solving. We’re already seeing the impact at Atlassian, where our AI tool Rovo recently helped engineers resolve an incident in just 14 minutes. Soon, this level of AI-driven productivity and intelligent problem-resolution will become the norm across the industry.”
To be attributed to Rohan Vaidya, Area Vice President, India & SAARC, CyberArk
“Identity security will be central to the conflict between human adaptability and technological advancement in 2026. India is entering an era dominated by AI agents, shrinking certificate lifespans, hardware scarcity, and an increasingly complex digital workforce. In this new reality, trust will be just as important as innovation for building resilience.
The first major shift will come from shorter certificate lifecycles. Starting in March 2026, the maximum validity for digital certificates will drop from 398 to 200 days, and Indian businesses will struggle to adapt as many are still manually managing certificate lifecycles. This will result in outages driven by expired certificates or unmanaged machine identities. Automation is crucial to ensuring such a scenario doesn’t happen.
Autonomous AI agents will become a standard part of business workflows. As Indian companies adopt frameworks like the Model Context Protocol, identity will become the main control point. It will be the only reliable “kill switch” when an AI agent acts unpredictably or gets compromised. A single leaked API key or a malicious prompt will be enough to cause system-wide problems.
The benefits of AI won’t be available to everyone. Limited access to advanced chips, rising cloud costs, and data center limitations will strengthen the dominance of major tech companies. For many Indian organisations, scaling AI will be a privilege, not a standard capability.
Human behavior will also be a key factor. Economic pressures will likely increase financially motivated insider threats. The use of unauthorised “shadow AI” tools will grow faster than companies can create rules to manage them. It will become harder to spot false information and social engineering attacks as AI-generated content becomes common.
Looking ahead, the organisations best positioned to operate securely at scale are those that apply Identity Security as a strategic control layer across human, machine, and AI identities. The threat landscape will evolve rapidly, but one core principle remains constant: securing identity is securing the business.”
To be attributed to Vivek Ganesh, Regional Vice President at OutSystems India
“In 2025, the most important shift we have seen in enterprise technology is the rise of agentic AI, not as a concept, but as something organizations can finally operationalize at scale. This has unlocked a new level of productivity, with business tasks like data processing, customer query responses, and problem resolution now automated, enabling teams to focus on higher-value, strategic work. As we head into 2026, the conversation will move from experimentation to execution. The organizations that will prevail are those who can deploy AI agents to improve accuracy, eliminate repetitive tasks, and power real workflows – not just proofs of concept – to deliver tangible, measurable business impact and value.
But with this shift comes a new responsibility. With AI systems becoming increasingly autonomous and interacting with real-time data, governance, security, compliance, and auditability become just as important as innovation. Companies are no longer asking ‘How fast can we adopt AI?’ Companies are no longer asking ‘How fast can we adopt AI?’ Instead, the question has shifted to, ‘How do we adopt it responsibly, securely, and in alignment with regulations and business integrity?’
The unprecedented efficiency enabled by AI agents is also driving a transformation in the types of AI tools organisations seek. Gradually, AI is evolving from general-purpose tools into specialized, industry-specific solutions, and cost-efficient hybrid agentic systems combining large and small language models are set to define modern architectures. In such a future, developers won’t just build software; they’ll orchestrate intelligent systems.
However, it is crucial to note that agentic AI will not replace people; rather, it is re-humanizing work by removing the mundane and enabling developers and business teams to focus on strategy, creativity, and outcomes. It is this potential in bringing about scalable capability, business impact, and workflow transformation that makes agentic AI the defining technological innovation of 2025.”