Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The fast rise of cloud adoption has reshaped enterprise IT, providing an unprecedented scale, flexibility and cost efficiency. But with this move comes a set of new security hurdles to maintain the control and guarantee the privacy of information that is exchanged across the network. The growing reliance on cloud by organizations for mission-critical applications and data has made the requirement of strong cloud network security a bit more urgent. Adding Security, enforcing policy and preventing data breaches have to start with protecting the flows of information between Users -> applications -> cloud services.

In this new wave of machine-driven decision-making, the paradigm shift in artificial intelligence towards increasing autonomy is becoming increasingly significant. Autonomous or agentic AI systems, those capable of acting on their own and acclimatising themselves to new environments, are redefining the space by taking actions towards a goal without direct human intervention. Although this is exciting in terms of what it will enable for AI driven processes and creativity, it also introduces a more advanced set of security risks to contend with when dealing with autonomous based AI systems.