Most tools can tell an enterprise what's wrong. Very few can be trusted to fix it — safely, provably, and without breaking something else along the way. That trust is the whole product.
Not blind automation. Every remediation follows defined, repeatable logic that behaves the same way every time it runs.
Every recommendation ships with the reasoning behind it, in language a risk owner — not just an engineer — can sign off on.
A permanent, verifiable record of what changed, why, and who approved it — ready for the next audit before it's even scheduled.
Sits alongside AWS, Azure, ServiceNow and Jira instead of asking you to replace them.
Built around the messy, high-stakes reality of regulated enterprises, not a clean-room ideal of how systems behave.
Capabilities
Sentinel Synthesis is designed around one hard problem: closing the gap between finding a risk and safely resolving it, at enterprise scale, without adding fragile new automation to an already complex environment.
Rather than scoring risks in isolation, the platform correlates exposure data against the systems, dependencies and business processes each asset actually supports — so prioritisation reflects real operational impact, not just a generic severity rating.
Remediation actions are coordinated across cloud platforms, ITSM systems and ticketing tools through a single control layer, so teams aren't stitching together manual handoffs between disconnected systems during a live fix.
Every change is bracketed by automated health checks, giving teams a clear, evidenced answer to "did this actually work, and did it break anything else" before they move on.
Approval routing, segregation of duties and policy checks are built into the execution path itself, so governance is enforced by the system rather than relying on a human remembering to follow the process.
Experience
Our approach is shaped by time spent close to the environments this platform serves: banking, healthcare, government, telecom and energy — sectors where a bad remediation is often worse than the risk it was meant to fix.
Our design decisions are informed by direct exposure to enterprise risk, compliance and operations functions — where the cost of getting remediation wrong is measured in outages and regulatory exposure, not just red dashboards.
The platform's assumptions are stress-tested against the specific constraints of banking governance, clinical uptime requirements, public-sector accountability, telecom scale and energy safety margins — not built for one industry and relabelled for the rest.
We build with the assumption that every action will eventually be reviewed by an auditor, a regulator or an incident post-mortem — so evidence is a first-class output, not an afterthought bolted on at the end.