In 2026, the largest source of cloud security risk is not advanced persistent threats. It is identity configuration drift, overprivileged access, and security guardrails that were correct at deployment and have since slipped. Research from Tenable finds that 18 percent of organizations harbor AI services with administrative AWS permissions that have never been audited. Fifty-three percent have granted third parties access that can assume highly risky permissions across their entire estate. The threat landscape has not outpaced your security team. Your security posture has drifted away from your security team.
Futran implements and operates AWS security architectures that eliminate configuration debt, enforce Zero Trust access principles, and maintain continuous compliance posture. As a holder of the AWS WAF Delivery designation, our security work is validated, not self-certified.
We implement continuous Cloud Security Posture Management using AWS Security Hub, AWS Config, and GuardDuty to maintain a real-time view of your security posture across your entire AWS estate. Every misconfiguration is detected automatically, risk-rated, and either auto-remediated within safe parameters or escalated for human review. Your security team stops reacting to incidents they discover after the fact and starts managing risk before it becomes exposure.
Overprivileged identity is the leading cause of significant cloud security incidents. We implement IAM architectures based on the principle of least privilege, enforce role-based access control, deploy IAM Access Analyzer to identify permissions that are broader than required, and implement Just-In-Time access for sensitive operations. For organizations managing AI workloads on AWS, we specifically audit and govern the permissions held by AI services to close the overprivileged AI role gap that Tenable research identifies in nearly one in five enterprise AWS environments.
Continuous threat monitoring using Amazon GuardDuty, Amazon Detective, and AWS Security Hub correlates signals across your environment to detect active threats, anomalous behaviour, and unauthorized access attempts in real time. When incidents occur, our team coordinates response, contains the threat, documents the root cause, and implements controls that prevent recurrence. For organizations in regulated industries, every significant incident generates a documented response record suitable for regulatory reporting.
We design and implement Zero Trust security architectures on AWS that treat every access request as untrusted until it is explicitly verified. This includes network micro-segmentation using AWS VPC Lattice and Security Groups, continuous user and device verification, encrypted communication between services, and real-time behavioral monitoring using GuardDuty and CloudTrail. Zero Trust is not a product in this model. It is an architectural principle applied consistently across identity, network, data, and workload layers.
As an AWS WAF Delivery designation holder, we design and deploy Web Application Firewall configurations that protect your web applications from SQL injection, cross-site scripting, DDoS attacks, and malicious bot traffic. Our WAF implementations go beyond standard rule sets to include custom rules calibrated to your specific application traffic patterns, automated bot management, rate limiting, and geo-restriction where your business requires it. WAF rules are maintained and updated as threat patterns evolve, not deployed once and forgotten.
We implement comprehensive data protection using AWS KMS for centralized key management, S3 bucket policies and Object Lock for data integrity, Amazon Macie for sensitive data discovery and classification, and encryption-at-rest and in-transit enforcement across your entire data estate. For organizations managing regulated data including financial records, healthcare information, or personally identifiable information, our encryption architecture meets the specific key management and access audit requirements of each regulatory framework.
Security compliance in regulated industries requires continuous evidence collection, not periodic audit preparation. We implement automated compliance monitoring using AWS Config rules, Security Hub compliance standards, and policy-as-code frameworks that collect audit evidence continuously and surface compliance gaps before an auditor does. We maintain alignment with SOC 2, ISO 27001, HIPAA, PCI DSS, and financial services regulatory frameworks applicable to your specific operating environment.
Security embedded in the development pipeline costs a fraction of security applied post-deployment. We integrate security scanning, infrastructure-as-code policy validation, container image scanning, and secrets management into your CI/CD pipeline using AWS CodeGuru, Amazon Inspector, and AWS Secrets Manager. Every deployment is validated against security policy before it reaches production, and violations surface to the developer at the point of code commit rather than after a production incident.
Security in financial services, insurance, and healthcare carries consequences that go beyond technical risk. A data breach in a regulated environment can trigger regulatory investigation, customer notification obligations, contractual liability, and reputational damage that takes years to recover from. Our security practice is built around this reality. We do not implement generic cloud security baselines. We design security architectures calibrated to the specific regulatory obligations, data classification requirements, and threat profiles of the industries we serve.
Our AWS WAF Delivery designation reflects validated production delivery capability, not theoretical knowledge. The AWS Well-Architected security pillar reviews we conduct with clients consistently identify that the most significant risks are not from the threats organizations imagine but from the configurations that have drifted since deployment. We close those gaps before they become incidents.
Credentials in the AWS partner ecosystem are not simply awarded. They require validated delivery capability, certified personnel, and demonstrated client outcomes reviewed by AWS. Here is what each of our designations means for an organization evaluating an AWS partner.
Get a Free AWS Security Posture Assessment
We evaluate your current AWS environment against Zero Trust principles, CIS AWS Benchmarks Level 2, and the compliance requirements of your industry. Two weeks. No obligation. Delivered with a prioritized risk remediation roadmap.
PRISM — ‘Platform Readiness and Intelligence Scoring Method’ by Futran Solutions
Table of Contents The Model Is No Longer the Whole Architecture What changes when an AI system stops...
Enterprise AI is entering a different phase in 2026. The question is no longer only whether a model can...
Table of Contents AI Is Moving From Tools Into Core Systems What changes when AI is no longer something...
Table of Contents 1. Enterprise AI Is Moving Beyond the “One Best Model” Question For much of the first...
Table of Contents Why FinOps for AI Became a Distinct Technology Category in 2026 What changed when AI...
Table of Contents Why AI Needs More Than Stored Data What happens when an advanced AI system makes a...
Table of Contents Sovereign AI Has Moved Beyond Data Residency What does it really mean to keep artificial...
Table of Contents Enterprise AI Has Moved From Answering to Acting What changes when AI stops suggesting...
Table of Contents Why are AI agents becoming a serious business topic in 2026? For many businesses, AI...
Table of Contents Why Are AI Experiments No Longer Enough in 2026? Most businesses no longer have an...
Firefly Pro, a software company, faced challenges managing persistent storage for its EC2 workloads...
The company faced challenges with fragmented identity systems, limited scalability, and manual user...
EZJobs is a rapidly growing job search platform that connects job seekers with employers...
To build a natural language query interface where users can ask questions in plain text and receive accurate...
The insurer, which processes hundreds of workers’ compensation claims for its many corporate clients...
Generative AI is changing the way businesses operate, from automating workflows and enhancing customer engagement..
Cloud adoption is no longer just an option, it’s a necessity for businesses seeking scalability, security, and cost efficiency.
Data is the new currency of digital transformation, and businesses leveraging AI and cloud technology..
In today’s data-driven landscape, businesses struggle to turn massive amounts of raw data into meaningful..
In today’s fast-paced digital economy, small and medium-sized businesses (SMBs) face increasing pressure..
How can organizations confidently scale generative AI while addressing complex regulations? In 2025..
In 2025, your organization’s survival depends not on how much data you collect, but how fast you act on it..
Cloud spending is at an all-time high, but boardrooms are demanding more than cost savings: they want proof..
In 2025, AI is no longer a competitive edge—it’s the baseline. What separates market leaders now..
Digital technologies are evolving rapidly even as strategic investments in digital are steeply on the rise..
The most consistent finding across AWS environments we assess is IAM permission sprawl — roles and policies that were created for a specific purpose and never reviewed as that purpose changed. The second most common is logging gaps, where CloudTrail, VPC Flow Logs, or GuardDuty is partially configured but not covering the entire account or service set. Both are invisible to an organization operating without continuous posture monitoring and both are straightforward to remediate once identified.
Zero Trust on AWS means every access request is evaluated against explicit permissions, no implicit trust is granted based on network location or previous access, and all activity is logged and monitored continuously. In practice, we implement this through IAM least-privilege policies, VPC micro-segmentation, CloudTrail comprehensive logging, GuardDuty continuous monitoring, and conditional access controls that evaluate context before granting sensitive operations. It is an architecture, not a product, and it is implemented incrementally across your environment.
AI workloads introduce security requirements that standard cloud security models were not designed for. We secure AI workloads by auditing and governing the IAM permissions held by AI services including Bedrock and SageMaker, protecting model endpoints against unauthorized access and prompt injection, monitoring access to training data repositories, and implementing data residency controls for organizations with regulatory requirements on where AI processing can occur. This is now a standard component of every AWS security engagement we deliver.
Yes. Our security onboarding process starts with a two-week assessment that maps your current security posture against our standards, identifies the highest-priority gaps, and produces a 30-day remediation plan. We take over security monitoring and incident response from day one of the engagement, so your coverage does not lapse during the transition period.
Services
Industries
Resources
Company
Government (Contracts)
Futran Solutions is an Equal Opportunity Employer
We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, or any other legally protected status.
