Cleverbit Software

02/09/2026

A firewall either blocks traffic or it doesn't. An AI system can drift from its intended behaviour for weeks without tripping a single alert, and that difference is why most traditional incident response playbooks don't hold up for AI systems.

Our new blog post is a practical guide for SOC and IR teams: what to do in the first 60 minutes of an AI incident, the containment steps for the most common archetypes (prompt injection, data leakage, model poisoning, hallucination, agent runaway), and how to build ownership across security, engineering and legal before the first incident hits.

Read it here: https://cleverbit.software/blog/ai-incident-response/

28/08/2026

A copilot suggests. An agent acts. Mixing those two up is where a lot of AI-in-DevOps strategy goes wrong, because an agent that plans steps and executes changes across systems needs a very different level of oversight than a tool that proposes a line of code.

Our new blog post breaks down where AI is actually earning its keep in DevOps right now (incident triage, log summarisation, runbook generation, infrastructure-as-code) and the guardrails that keep it from becoming a silent source of technical debt: schema validation, sandboxed writes, approval gates scaled to risk, and audit logs nobody can quietly edit.

Read it here:

Discover how AI in DevOps enhances incident management, reduces alert noise, and boosts productivity through practical implementation strategies.

26/08/2026

Most agentic AI failures come down to architecture, not the model itself. If an agent has write access to a pipeline and enough freedom, it will eventually do something nobody planned for, so the real question is whether you can see it happen and step in in time.

Our new blog post lays out a governance-first blueprint for agentic AI architecture: a clear autonomy envelope, version control for every agent-facing artefact, enforcement built into the pipeline itself, and a pilot-first rollout that earns wider scope with evidence.

Read it here: https://cleverbit.software/blog/ai-architecture-design/

Explore a governance-first approach to AI architecture design, ensuring autonomy and accountability while preventing drift in agent behavior.

17/08/2026

We're delighted to welcome Dean Ciantar to the team as our new Senior DevOps Engineer. Dean stood out in his interviews as genuinely excited about the role and came prepared, a clear sign of maturity and someone who takes ownership of his work.

He's friendly, approachable and easy going, with strong communication skills and a real team player mentality. He's always looking to improve, even running his own Kubernetes side project to keep sharpening his skills. He's honest, humble, and always up for a new challenge or added responsibility.

Welcome aboard, Dean!

17/08/2026

60% of enterprise AI investment generates minimal or zero return. The problem is not AI. It is how the money is being spent.

Episode 6 of Optimise covers why both buying off-the-shelf tools and building in-house tend to fail, and what the co-build model looks like in practice. A 2026 Gartner study puts co-build ROI at 4.2x compared to 1.8x for SaaS licences.
Watch episode 6 here: https://cleverbit.software/blog/why-60-of-enterprise-ai-investment-delivers-nothing/

14/08/2026

Your employees are using public AI tools with company data every day. Most of them do not realise that once that data leaves your digital perimeter, it is no longer yours.

Episode 5 of Optimise covers the three pillars of enterprise AI security every business owner needs to have in place, and why getting this right is not about slowing AI adoption down. It is what makes scaling it safely possible.

Watch episode 5 here: https://cleverbit.software/blog/the-ai-security-risk-your-it-department-is-not-monitoring/

05/08/2026

Excited and honoured for Cleverbit to be part of this 😊

AI can write code.

But when something goes wrong... who is accountable?

We're excited to welcome Eman Zerafa and Ethan Zammit to TechTok 2026.

Together, they bring expertise in software architecture, AI engineering, and enterprise delivery to explore one of the biggest questions organisations will face as AI becomes part of the software development lifecycle.

🎤 When the Agent Decides, Who Answers?

As AI agents take on more responsibility for building software, traditional models of accountability are beginning to break down.

In this session, Eman and Ethan examine how organisations can maintain meaningful human oversight in an AI-assisted development environment. Through practical examples and a live demonstration, they will explore where automated controls are enough, where human judgement remains essential, and how engineering teams can build clear, auditable accountability into AI-driven delivery.

If you're a CTO, architect, engineering leader, developer, or anyone shaping the future of AI-powered software delivery, this is a session you won't want to miss.

👉 If you want to take part in this session and other quality content at the event, pick up your Early Bird tickets at www.techtok.mt

👉 Check out the current lineup and what's coming next at https://www.techtok.mt/schedule/techtok-2026

📅 Date: 16 September
📍 Location: Hilton, Portomaso
🎤 25+ sessions across 7 tracks

04/08/2026

Most companies think they have an AI strategy because their team uses a chatbot every day. They don't. They have a faster search engine.

Autonomous agents are a different category entirely. You give them a goal and guardrails, and they execute without waiting for instruction. That is the shift that actually changes how a business operates.

Episode 4 of Optimise covers what autonomous agents are and what it actually takes to build them properly.

Watch it here: https://cleverbit.software/blog/why-chatbots-are-not-an-ai-strategy/

03/08/2026

Hiring more people isn't always the answer to scaling your software team.

Slow recruitment. Ownership that gets lost between contractors and internal teams. AI tools that need real oversight, not just enthusiasm.

That's why more engineering leaders are looking at Team as a Service (TaaS): a managed team that plugs into your business, takes ownership of outcomes, and builds AI governance into the way it works from day one.

We wrote a full guide covering:
✅ What TaaS looks like in practice
✅ How it stacks up against in-house teams, outsourcing, and staff augmentation
✅ A realistic 60-90 day roadmap for running a pilot
✅ The questions to ask before signing with any provider

If you're thinking about scaling your tech team this year, this is worth a read.

👉 https://cleverbit.software/blog/what-is-team-as-a-service/

27/07/2026

Most engineering teams don't run one structure. They mix stream-aligned, platform, complicated-subsystem, and enabling teams, based on where the real coordination problems are.

Agentic AI raises the stakes here. When an agent can open a pull request as easily as a developer can, someone still has to own the review gate. Team Topologies gives a clear answer: stream-aligned teams keep ownership no matter who wrote the code, platform teams turn governance into a shared service instead of leaving every team to build its own, and enabling teams coach the practice in, then move on.

Skip this and you get vibe code drift: AI-generated code piling up without real review until the architecture has moved somewhere nobody agreed to.

We break down how the four team types map onto agentic delivery, and how to catch drift before it starts: https://cleverbit.software/blog/types-of-team-structures/