Continuous Controls Monitoring AI Analyst
Control breaks don’t wait for your next audit cycle.Neither does our AI Analyst.
Our Controls Break AI Analyst continuously monitors every asset against its mapped controls, stitches together your vulnerability tools and CMDB, and flags breaks the moment they occur. Not weeks later when a scan cycle finally catches them.
of controls monitored continuously, not sampled
detection from break occurred to team alerted
vs. 3/5 for leading enterprise GRC platform
The Problem
The Gaps Between Your Audits Are the Problem
Your vulnerability tool and CMDB don't speak to each other
Vulnerabilities sit in one system, asset criticality in another. Reconciling them manually takes days if anyone does it at all.
A critical asset can carry an open vulnerability for 30 days
Finding it requires pulling from multiple systems, then waiting on the team resolving the ticket to confirm status.
Teams mark vulnerabilities closed. They are not always closed.
When a ticket is closed incorrectly, the error stays open until the next scan cycle catches it, which can take weeks.
You can only review 10% of tickets. The other 90% are beyond human reach.
Manual review is constrained by headcount. A team running 2,500 tickets can realistically sample 250. The rest go unreviewed.
How It Works
How Our Controls Break AI Analyst Works
Connect your existing systems. Get continuous, automated monitoring of every control against every asset, with instant alerting when something breaks.
Point it at your cloud environments, CMDB, vulnerability management tools, and ticketing systems. It reads each source as-is with no restructuring or migration beforehand.
Each control is mapped to the specific asset properties it governs: configurations, access states, software versions. The AI knows what a passing state looks like before monitoring begins.
The AI checks every mapped control against live asset data in near real-time, not at the next scan cycle. Coverage is 100%, not a sample.
When an asset diverges from its mapped control requirement, the AI flags the break immediately and alerts the team. Incorrectly closed tickets are caught here before the next cycle runs.
It reconciles your vulnerability tool and CMDB automatically, mapping findings to controls even when those systems have no native integration. Reconciliation that used to take days happens continuously.
Capabilities
Built for What Periodic Reviews Miss
Continuous controls monitoring requires source stitching, 100% coverage, and instant detection. These are the capabilities that make all three possible at enterprise scale.
Every Control Checked. Always.
Assets are monitored against mapped controls in near real-time. A break on day 2 of a quarterly cycle is flagged that day, not 89 days later. Periodic audits only catch what exists at the moment they run.
Your Tools Don't Have to Talk to Each Other
It pulls from your vulnerability tool, CMDB, cloud environments, and ticketing systems and maps findings to controls. Siloed data that previously required days of manual reconciliation is unified continuously without any system changes.
No More Sampling. No More Blind Spots.
A team reviewing 2,500 tickets manually can realistically check 250, leaving 2,250 unreviewed each cycle. The AI Analyst evaluates all of them. Coverage is not constrained by headcount: every control is checked, every cycle, without exception.
Catches What Your Team Marks as Done
When a ticket is closed incorrectly, the human review process will not catch it until the next scan cycle reconciliation runs. The AI catches it immediately, before the gap between cycles becomes a gap in your control posture.
Posture Visibility by Asset, Control, and Program
The Controls Break Dashboard shows compliance posture sliced by asset category, framework, and program. A quarterly sampling exercise used to be the only way to get this view. Now it is available on demand at any moment in the cycle.
User Access Reviewed Continuously, Not Semi-Annually
User access is reconciled across critical systems on an ongoing basis. Access anomalies are flagged as they occur, not surfaced months later during a formal UAR cycle when an auditor asks for evidence of continuous operation.
Compare
Where Other Approaches Break Down
Every enterprise security team has tried at least one of these. Here is specifically what fails, and what our Controls Break AI Analyst does instead.
Breaks that occur between audit cycles go undetected until the next scheduled review. A control that fails on day 2 of a quarterly cycle is not discovered for 89 days.
Our Controls Break AI Analyst monitors every mapped control in near real-time and alerts the moment an asset diverges.
Vulnerability management tools and CMDBs track their own data but do not communicate with each other. Reconciling them manually to understand risk in context takes days of analyst time.
It stitches together multiple source systems and maps findings to controls automatically, even when those systems have no native integration.
Teams constrained by headcount can only review a fraction of tickets or controls in any given cycle. At 10% coverage, 90% of potential breaks are beyond human reach.
It reviews 100% of controls continuously. Coverage is not a function of team size.
Consulting engagements and external audits deliver a snapshot of posture at one moment. The moment the report is delivered, the environment has already changed.
It monitors continuously. Every change in asset state is evaluated against its control requirement the moment it occurs.
Proof
Results From Live Deployments
Observed outcomes from production deployments. Not benchmarks, not projections.
A financial institution running 2,500 tickets per cycle reviewed 250 manually, which is 10% coverage by necessity. With the Controls Break AI Analyst, every ticket in that population is evaluated each cycle with no sampling constraint.
A financial institution is running over 700 PCI DSS controls through the platform with continuous automated testing. Breaks that previously required periodic sampling are now surfaced at the moment they occur.
Identifying a medium-severity vulnerability in a highly critical asset open for 30 days previously required cross-system reconciliation and a wait on ticket status from the resolving team. With continuous monitoring, the same identification is immediate.
An independent capability assessment scored Cyber Sierra's CCM module 5 out of 5 against a leading enterprise GRC platform's score of 3 out of 5. The performance gap is widest on continuous monitoring and source integration depth.
“Auditors are going to love it. Very good. It will make it very easy for anyone to go and check.”
– Rashmi Chaundry, Independent ISO 27001 Auditor, 15+ years experience
FAQ
Frequently Asked Questions
Detection happens in near real-time: as soon as the AI's next polling cycle against that asset's live data runs. There is no waiting for a scheduled audit, a manual reconciliation, or a scan cycle report to complete.
The exact latency depends on integration type and polling frequency, which is configurable per asset criticality. For high-criticality assets, the time between a break occurring and the team being alerted is measured in minutes, not days.
Yes. That siloed setup is one of the most common environments it is deployed into. The Controls Break AI Analyst pulls from both systems independently and maps findings to controls without requiring any native integration between them.
You do not need to restructure your data or merge your systems before deploying. The reconciliation is handled by the AI.
No. It deploys inside your own infrastructure: your cloud (AWS, GCP, Azure), on-premises, or air-gapped. You choose the LLM, including self-hosted or open-source models.
For Singapore government and CII operators, Cyber Sierra is IMDA accredited and deployed on Singapore GCC. Data sovereignty requirements are supported by design, not added on after the fact.
No. The Controls Break AI Analyst sits on top of your existing GRC environment. It reads from your connected systems, performs the monitoring and detection, and surfaces findings through the dashboard and alerts layer.
Cyber Sierra has 140+ day-1 integrations including ServiceNow, Archer, AWS, Azure, Kubernetes, and Jira. Your system of record stays in place.
Yes. The standard entry point is a scoped deployment: one control domain, one asset category, your actual environment. The proof-of-value is designed to be observable within weeks, not a multi-quarter rollout before results appear.
The strategy briefing is where we scope it based on your highest-risk control areas.
Who It Is For
Who This Is Built For
For enterprise security and GRC teams managing large control inventories across regulated industries.
CISO / Head of IT Security
Managing 500+ controls across cloud and on-premises assets at a regulated financial institution, relying on quarterly manual reviews to catch breaks.
“We want improvements beyond a faster version of what we do now. We need AI-based insights, not just acceleration.”
Head of Compliance / Technology Risk
Running control testing cycles at a large insurer where hundreds of high-risk controls require documented evidence of continuous operation for regulators.
“The number of controls grows every year as the business expands. The team does not.”
Group CISO at Multinational Conglomerate
Responsible for continuous control assurance across subsidiaries in multiple jurisdictions where siloed tools and manual processes cannot keep pace.
“A team of seven is being asked to do the work of fifty. Audit delays and missed findings are the result.”
IT Governance / CII Operator
Operating under Singapore CCOP or MAS TRM requirements where continuous control evidence is a mandatory regulatory obligation, not an internal best practice.
“Regulations keep coming. We need something that tells us where we stand without a two-month assessment each time.”
The Controls Break AI Analyst deploys in your own cloud, on-premises, or air-gapped with your choice of LLM. Asset data and control mappings never leave your environment.
See every control break before your auditors do
18+ enterprise CISOs have already seen our AI Analysts work against live environments. Tell us your control domains and highest-risk asset categories and we will show you what continuous monitoring finds that your current cycle misses.