For accounting firms there is no compromise when it comes to security. Built with multiple layers of industry-standard security to protect your clients' data.
1. Trust Management
AI Privacy, Explainability & Integrity
AI Privacy
No model training
Your data never trains or improves any AI model.
Full data isolation & Sovereign resource isolation
Strict tenant separation across every customer. Each agent runs in its own encrypted sandbox, mathematically guaranteeing zero execution overlap between clients or internal departments.
No selling
Firm and client data is never sold to third parties.
Data deletion & Latent purging
Remove your database records at any point. Vector embeddings are permanently purged to mathematically prevent latent data reconstruction.
Explainability & Reliability
Zero-retention reasoning
Agentic context windows are ephemeral. Data is purged from active memory immediately upon task completion.
Traceable AI, Provenance & Lineage
Every agent action is logged and auditable. AI steps show sources, changes, and rationale linked directly to the unassailable ground-truth document via a clickable Reasoning Trail.
Transparent by design
AI steps show sources, changes, and rationale. Explicit adherence to frameworks like the NIST AI Risk Management Framework (AI RMF).
Fairness, Bias mitigation & Model drift
Continuous benchmarking of underlying LLMs ensures agents maintain consistent enterprise accuracy and neutral logic over time.
Data Integrity
RAG poisoning defense
Saras' proprietory non-hallucinating agents score and verify source authority before allowing agentic retrieval and reason over unstructured data, preventing malicious document injection.
Ethics & Alignment
Human-Centric Guardrails
Agents are hard-coded with deontological constraints to prevent unethical financial decisions or unauthorized strategic pivots.
Value Alignment Protocol
Continuous auditing of agent reasoning against the firm's specific internal policy documents and ethical guidelines.
2. Risk Management
Governance, Certifications & Impact Control
Certifications & Compliance
EU AI Act Readiness
Designed to exceed global statutory requirements for transparent, auditable, and governed AI execution.
Strict sub-processor auditing
All infrastructure and foundation model providers are bound by zero-training agreements and hold SOC 2 Type II certifications.
Operational Governance & Control
Sovereign Approval Gates (HITL)
High-stakes, irreversible agentic actions mathematically mandate a human cryptographic signature before execution.
Denial of Wallet (DoW) protection
Cryptographic spend caps and token circuit-breakers prevent infinite reasoning loops and API budget exhaustion.
Model agility & fallback
Multi-model architecture instantly hot-swaps foundation models during outages to guarantee zero operational downtime.
Enterprise BC/DR
Documented Disaster Recovery and Business Continuity plans guaranteeing strict RTO and RPO metrics.
Agentic liability & SLA frameworks
Documented operational SLAs detailing shared responsibility limits, backed by specialized AI cyber liability insurance.
Supply Chain Integrity
Sub-processor Transparency
Real-time monitoring of foundation model providers and infrastructure partners for any compliance or security drifts.
Model Lineage Tracking
Immutable record of every specific model version and configuration used in agentic reasoning trails for absolute reproducibility.
Documentation & Compliance
SOC 2 Type II report
Available on request.
ISO 27001:2022 Certificate
Available on request.
AI Bill of Materials (AIBOM)
Complete transparency into foundation model lineage and safety benchmarks, available on request.
Additional documentation
Compliance docs available upon request.
Security contact
ciso@sarasfinance.com
3. Security Management
Secure by Design & Security Operations
Secure by Design
Adversarial AI defense
Dedicated semantic firewalls neutralize prompt injection and malicious instructions targeting unstructured data.
Agentic Zero Trust Architecture & SSRF prevention
Agents do not blindly trust other agents; machine-to-machine handoffs require mutual authentication. Strict egress filtering prevents Server-Side Request Forgery (SSRF) during API execution.
Tool-Level Least Privilege (PoLP)
Granular RBAC extends to agent skills. Agents are cryptographically restricted from invoking unauthorized API tools.
Cryptographic policy enforcement
Agents dynamically inherit the exact granular access rights of the human user, mathematically preventing unauthorized data retrieval.
Confidential computing & Secret sanitization
Agents authenticate via a centralized credential vault. For hyper-sensitive workflows, agents run inside hardware-encrypted secure enclaves. Secrets are algorithmically scrubbed from RAM the millisecond an API call completes.
SSO Based Sign In
Secure access governed directly by your enterprise identity provider.
Multi-factor authentication
MFA enforced across all accounts.
Encrypted at rest
AES-256 across all stored data.
Encrypted in transit
HTTPS/TLS on every connection.
Localised hosting
All customer data stored in the relevant country or nearest data center.
Data segregation & Granular RBAC
Strict separation between customers with a fine-grained permissions matrix enforcing strict access control.
Immutable audit logs
Time-stamped audit trails for every user and agent action.
Security Operations
Execution drift monitoring
Continuous monitoring of agent behavioral baselines. Anomalous API call volumes instantly trigger execution termination.
Semantic Data Loss Prevention (DLP)
Dynamic interception of agents attempting to synthesize or summarize highly confidential data into unapproved outbound channels.
Penetration testing
Regular third-party tests, vulnerability scanning, and adversarial machine learning simulations.
Incident response & CSPM
Rehearsed program with rapid triage, notification, and Continuous Posture Management (CSPM) to flag configuration drifts.
Encrypted backups
Daily backups with geographic redundancy.
Threat Exposure Management
Semantic Firewalls
Neutralizing prompt injection and adversarial logic at the inference layer before it can affect agentic reasoning.
Continuous Red-Teaming
Automated red-teaming of agent skillsets and tool-invocations to identify potential lateral movement risks within the enterprise ecosystem.