Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

LimaCharlie's Agentic SecOps Workspace (ASW) lets agentic AI security solutions operate directly inside your environment. Everything in LimaCharlie’s SecOps Cloud Platform connects via API. For us, AI isn't a bolt-on layer. It's woven into the same fabric as your detections, sensors, and integrations. Limacharlie’s approach makes it easy for users to bring-your-own-LLM into security operations.

We are witnessing the birth of a new profession in the blend of security engineering and security operations, a discipline that didn't exist five years ago because the systems it protects didn't exist five years ago. As artificial intelligence moves from experimental to essential and agentic systems begin to perceive, reason, act, and learn autonomously, we need defenders who can operate at the same velocity. I'm talking about the AI Security Engineer.

The next major security problem enterprises will face won’t originate in the cloud. It will emerge on endpoints, where agentic AI is already operating with autonomy, authority, and access to sensitive data.

AI has radically transformed the way SOC teams operate, but how is it affecting the people behind the work? For our recent Voice of Security 2026 report, we surveyed over 1,800 global security professionals to find out. We wanted to understand not only AI’s impact on security careers, but how teams really feel about these shifts. The results show that despite rising workloads and widespread burnout across security teams, sentiment toward AI is largely positive.

As cyber defenses become stronger, adversaries continue to evolve their tactics to succeed. In 2025, the year of the evasive adversary, the threat landscape was defined by attacks that targeted trusted relationships, demonstrated fluency with AI tools, and incorporated tradecraft tailored to exploit security blind spots.

Social engineering remains the most reliable way into an organization—and attackers are getting better at it every day. According to the 2025 Verizon Data Breach Investigations Report, up to 68% of breaches involve social engineering. AI has only widened the gap. More than 95% of cybersecurity professionals say AI-generated phishing is harder to detect, and Microsoft reports that AI-generated phishing emails are 4.5x more successful than manually created ones.