Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Government teams are under growing pressure to modernize and improve efficiency while continuing to meet rigorous requirements for security, governance, and accountability. Meeting both demands requires technology that can support innovation without sacrificing control. That’s why we’re proud to share that Tines has achieved TX-RAMP Level 2 certification for both Tines Stories and Tines 3B.

Security and IT teams are managing growing volumes of logs, alerts, and telemetry data across disconnected tools and data stores. When teams are tasked with responding to audit or compliance requests, they need to pull the right information quickly and accurately and that is rarely a straightforward process. Investigations span multiple tools, logs sit in storage, routing and retrieving archived logs are manual processes that overburden teams when they can least afford it.

July was an exciting month in the world of Tines. We launched Tines 3B, the single, secure environment for every team’s apps, agents, and automation. It’s a new platform where everyone can build, while you safely run and monitor your organization’s most important work. The Tines platform you already know is now called Tines Stories, and we’ll continue to invest in, support, and develop it.

The June 2, 2026 White House Executive Order on Promoting Advanced Artificial Intelligence Innovation and Security has officially set the clock ticking. With mandates requiring CISA and federal agencies to deploy AI-enabled defensive tools on civilian systems, the directive for Federal CIOs, CISOs, and SOC Directors is clear: AI adoption is an operational requirement to effectively defend federal networks.

When the IT specialist at a company of 20 to 30 people left, the responsibility landed with an employee who had little technical experience. “I’m not really an IT person,” they wrote on Reddit. “I have zero coding skills.” Yet over a single weekend, they vibe-coded an entire IT support system from scratch, in an effort to streamline a process they found cumbersome. Until then, employees had submitted tickets through a Google Form, which sent their answers to a spreadsheet.

This is the second in a two-part series on AI agents in Tines Stories. Part one covers the foundations: when to use agents, how to configure them, how to write prompts that work, and how to build securely. This post goes deeper on the patterns that separate robust, well-built agents from just good enough ones.

AI agents are powerful, but they're not magic. Left unconstrained, they'll burn through credits, hallucinate confidently, and make decisions you can't explain to your team. The fix isn't a smarter model, it's a smarter workflow. This guide focuses on the foundations of building an agent: when to use agents, how to configure them, how to write prompts that work, and how to build securely from day one.

Security and IT leaders face a contradictory mandate: move faster with AI and automation while maintaining governance over every action that touches production systems, user accounts, and sensitive data. Most tools force a choice between two failure modes. Either the workflow runs autonomously, and the team hopes nothing breaks, or every action requires manual approval and analysts spend their shifts rubber-stamping low-risk steps until oversight disappears behind a green-checkmark audit trail.

AI agents don't behave like the playbooks security and IT teams have spent years building. They form intent, select tools at runtime, and chain actions across systems in sequences nobody pre-authored. This means dropping an LLM into an existing automation sequence and expecting it to act like a smarter playbook is the fastest route to ungoverned, unpredictable outcomes.

Compliance teams know the pattern well: tracking down a missing access review sign-off at 11 p.m. the night before an audit, piecing together evidence from spreadsheets, email threads, and the gap between HR and IT. Access reviews keep appearing in SOC 2 exceptions, and the controls usually aren't the problem. The manual processes around them are. Many teams respond by buying a dedicated GRC (Governance, Risk, and Compliance) platform. Traditional GRC tools are structured repositories.