Today’s enterprise cybersecurity landscape is fractured. Security Operations Centers (SOCs) focus on detecting and responding to incidents. DevSecOps, meanwhile, integrates security into every phase of the development lifecycle. They both serve the same mission of protecting the business but operate with different tools, workflows, and KPIs.
The result? Silos. Delayed responses. Alert fatigue. And worst of all—missed opportunities to stop threats before they escalate.
This article dives into how Peris.ai’s AI-powered Automation Layer unifies these two critical functions, enabling faster response times, smarter prioritization, and true cross-functional collaboration.
Focus
Toolset
Challenges
Key Metrics
Despite overlapping goals, these teams often duplicate efforts, speak different “security languages,” and rely on disjointed tools.
SOCs detect an issue, but getting DevSecOps to fix it—whether in code or infrastructure, can take weeks. This increases threat dwell time.
Threat intel, indicators of compromise (IOCs), and asset criticality are interpreted differently by each team, slowing down decisions.
Multiple dashboards, redundant scans, and a lack of shared visibility compound inefficiencies and create inconsistent security postures.
SOC analysts face noisy alerts. DevSecOps engineers face a firehose of compliance demands. Both suffer, neither wins.
Integrates SOC tools (EDR, XDR, NVM) with DevOps systems (CI/CD pipelines, Git, Jira, K8s), transforming detection into action.
When SOC identifies a misconfiguration, a contextual task is instantly pushed into the developer’s backlog, mapped to the actual repo, pipeline, or resource.
Cross-team dashboards surface incident timelines, asset ownership, risk scores, and patch status, aligned to business context.
Peris.ai’s automation filters noise, enriches alerts, and scores incidents based on impact—reducing unnecessary escalation and alert fatigue.
Peris.ai’s Automation Layer uses agentic AI to automate decision-making, streamline collaboration, and eliminate silos.
Unifies SOC tools (XDR, EDR, NVM) into one intelligent system that reduces analyst workloads and routes alerts contextually.
Auto-assigns vulnerabilities to developers in GitHub, GitLab, or Jira, mapped to specific builds, IaC files, or containers.
Maintains a real-time asset knowledge base, tying IOCs and incidents to specific business-critical systems.
Orchestrates detection → triage → remediation with fully customizable workflows that adapt across functions.
🔗 Related Solution: See how Peris.ai IRP streamlines security operations and connects SOC and DevSecOps workflows.
Faster MTTR
Full Alert Context
Less Burnout
Stronger Compliance
Better Collaboration
If your security and development teams still operate in silos, you're leaving your business exposed. Peris.ai enables:
You don’t need another tool. You need the intelligence layer that connects everything.
In cybersecurity, speed matters but alignment matters more.
By implementing a unified automation layer powered by Peris.ai, organizations eliminate wasted time, reduce alert fatigue, and foster a culture where security is everyone’s job.
Let your teams do what they do best while Peris.ai orchestrates the rest.
🔗 Explore the Peris.ai Automation Layer → https://brahma.peris.ai/ The fastest way to bridge your cybersecurity and development functions before the next breach hits.