Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI coding assistants have fundamentally changed development velocity. With tools like Augment Code, developers can now build and iterate at a pace that was unimaginable just a few years ago. However, this explosion in speed has created a new challenge: security teams, often still relying on manual review processes, are becoming the bottleneck.

Artificial intelligence is increasingly ingrained in every aspect of healthcare diagnostics, financial systems, autonomous vehicles, and critical infrastructure. Still, the reality has set in: these systems are under threat unlike anything we have seen, and existing cybersecurity frameworks were never designed to handle AI-specific threats.

Automated red teaming uses software to simulate cyberattacks and test security defenses, helping organizations find and fix vulnerabilities more efficiently. It automates tasks like credential harvesting, system enumeration, and privilege escalation to test security posture in a continuous, scalable manner. Beyond traditional systems, automated red teaming can also be used for AI systems, where it tests for risks like data poisoning or prompt injection in generative models.

DevOps has become an important practice for companies looking to efficiently meet customers’ expectations, accelerate software delivery, and optimize resources. Companies that embrace the DevOps culture can smoothly merge their development and operations teams, resulting in faster releases and better development.

‍Cyber risk quantification (CRQ), the process of modeling cyber threats and forecasting loss outcomes, is becoming foundational to how organizations govern and respond to cyber exposure. What began as a specialized function is now shaping the priorities of security operations and enterprise risk management as a whole.

At Fal.Con 2025, CrowdStrike introduced Threat AI, an agentic threat intelligence system of autonomous agents that reason across data, hunt for threats, and take action. As part of our vision for the agentic SOC, these AI-powered agents automate complex intelligence workflows so defenders can keep up with AI-powered adversaries while staying in control of every decision.

If you were part of the workforce before the year 2000, the emphasis on security and compliance might not have been as pronounced unless you were in a government role or a company with legal obligations. However, with the advent of cloud services in 2010, the landscape changed, and privacy compliance gained significant relevance, especially as companies expanded their services globally. Fast forward to the 2020s, where security and compliance are now mainstream.