Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI workflow automation: what enterprise teams need that consumer tools miss

Most enterprise teams already run some form of workflow automation. The question is whether it can hold up when an AI step makes decisions within the chain, an auditor asks for a trail, and three teams need to build on each other's work without stepping on governance. That is where consumer-grade tools and enterprise-grade platforms part ways. The gap is architectural, not a feature lag, which is why it cannot be retrofitted.

Grounding the AI SOC: The Context Graph Problem

See how Torq harnesses AI in your SOC to detect, prioritize, and respond to threats faster. Request a Demo David Melamed is Head of Emerging Technologies at Torq. He joined through Torq’s acquisition of Jit, which he co-founded and led as CTO since 2020, building agentic security on a production Context Graph. A cloud security veteran with 20+ years of experience, David previously held senior technical roles at Cisco (via the CloudLock acquisition) and MyHeritage.

Three processes slowing down network security in 2026

Network security stacks are stronger than ever: visibility is high, threat detection is improving, and AI adoption is widespread, with 99% of SOCs using it in some capacity. But despite these advances, network security teams face many of the same operational challenges as before. Incidents still escalate. Responses are slow. Analysts remain overwhelmed and burnt out. The issue isn’t detection – it’s what happens next.

How AI Is Changing Both Cyberattacks and Cyber Defense

Artificial intelligence is changing cybersecurity because it gives both attackers and defenders more speed, scale, and flexibility. Attackers can use AI to write better messages, test code, scan targets, and move through stolen data faster. Security teams can use similar technology to detect odd behavior, sort alerts, and respond before a small incident becomes a serious breach. The biggest shift is not that AI replaces every hacker or every analyst. Work that once required hours, special training, or a larger team can now be assisted by software.

Agentic workflows: What they are and how enterprise teams govern them

Security and IT teams know the pattern: work spans dozens of tools that don't talk to each other, and people closest to the problem spend more time stitching together information than acting on it. Whether the job is provisioning access, triaging an anomaly, or closing out an incident, the reality is fragmented handoffs and brittle scripts. The data backs this up.

AI Solutions for Telegram: Modern Tools for Automation and Community Growth

Telegram has become one of the most powerful platforms for building communities, promoting products, and scaling digital businesses. As the number of groups and channels continues to grow, manual management becomes inefficient and time-consuming. This is where AI solutions for Telegram are transforming the way users interact with the platform, automate workflows, and extract valuable insights from large communities.

Workflow orchestration: coordinating systems, people, and AI

AI agents are showing up across every team's stack faster than the systems to coordinate them. Cross-team work that depends on five tools and three approvals tends to break in the handoffs between them, and most teams patch those breaks with manual stitching, fragile scripts, or alerts that age in a queue until someone notices. Workflow orchestration is the coordination layer that closes those gaps.

Automation, Intent, and Ownership: What to Learn from the AI Agent Security Summit

When the AI Agent Security Summit launched in San Francisco last October, agent-based threats had already escalated from a novel consideration to a predominant blocker for enterprise adoption. The security community was laser-focused on recognizing and minimizing the blast radius posed by agentic vulnerabilities, whether that meant indirect prompt injection, MCP poisoning, or hallucinations.

Auto-investigate unresolved SentinelOne threats with Tines

Tired of manually triaging SentinelOne alerts and copying details into Jira? This story from the Tines library automatically pulls unresolved SentinelOne threats daily, filters out duplicates, and creates detailed Jira tickets for every net-new incident — so your team can focus on responding, not chasing alerts.

Gartner Names Torq as Company to Beat in AI SOC Agents for Threat Investigation in May 2026

See how Torq harnesses AI in your SOC to detect, prioritize, and respond to threats faster. Request a Demo The AI SOC category just got its definitive race assessment, and Torq is at the front. In the May 2026 Gartner report AI Vendor Race: Torq Is the Company to Beat in AI SOC Agents for Threat Investigation (Document ID: G00855833), Gartner names Torq the Company to Beat.