One Platform.
Total Identity Defense.
A Valid Login Can Hide an Attacker.
Traditional perimeter firewalls and endpoint agents fail when adversaries hold authentic credentials. Chromosight connects behavioral sequences, multi-hop relationship graphs, and controlled containment into one high-velocity SOC workspace.
When Credentials Are Valid, Conventional Defenses Fail Silently
Adversaries no longer use malware to break in—they log in with stolen session tokens, compromised service accounts, and unmonitored federated credentials.
Initial Attack Vector Across Enterprise Breaches
Credential abuse was confirmed as the initial vector in 22% of breaches reviewed in the landmark 2025 Data Breach Investigations Report (DBIR). Attackers move laterally across cloud and identity providers while masquerading as authorized personnel.
Four Urgent Questions Analysts Cannot Answer in Time
Authentication, device, and cloud SaaS events require analysts to manually reconstruct incidents across multiple disparate silos:
Who is actually operating the account?
Is this authorized human delegation, automated scheduled workflow, or an active adversary utilizing an exported bearer token?
What permissions mutated post-login?
Were privileged IAM roles, cloud service scopes, or administrative tenant policies quietly escalated behind the scenes?
Which concurrent sessions are linked?
Seemingly isolated alerts across Azure AD, Okta, and AWS IAM are frequently parts of the exact same continuous kill-chain.
What response containment is justified?
How does the SOC isolate the compromised account without inadvertently disrupting critical production business operations?
Identity Signals Become Actionable Cases
Connect behavioral analysis, access relationship context, and controlled containment in one native platform designed for SOC analysts, IAM architects, and security engineering teams.
DETECT
Continuously identify unusual login sequences, rapid privilege changes, dormant account reactivations, and atypical machine-to-machine service interactions.
INVESTIGATE
Build an automated evidence timeline across affected accounts, endpoint devices, cloud services, and mutated permissions into a single consolidated incident dossier.
RESPOND
Execute controlled remediation: revoke active OAuth/SAML tokens, enforce biometric step-up challenges, or freeze service credentials with complete role-based audit logs.
One Unified Workspace for Comprehensive Identity Defense
Identity Inventory
Continuous dynamic discovery of human users, contractors, federated entities, and non-human workload service accounts across multi-cloud identity providers.
- Automated non-human service mapping
- Inherited permission tree visibility
Threat Detection
Prioritize suspicious activity using contextual behavioral models, sequence transformers, and graph neural network risk clustering in real time.
- Zero-heuristic machine learning models
- Contextual behavioral deviation thresholds
Investigation Workspace
Combine related events, affected cloud resources, lateral access routes, and analyst annotations into one reviewable, chronological case dossier.
- End-to-end blast radius visualization
- One-click forensic event replay and export
Response Controls
Execute approved containment actions and retain an immutable audit trail with role-based access governance and native IdP/IAM integrations.
- Analyst-approved automated mitigation
- IdP session revocation & IAM policy quarantine
Designed for SOC Analysts & IAM Engineering Teams
Rather than jumping between disconnected security consoles, Chromosight unifies identity signals into a coherent attack story. Security teams collapse investigation times from hours down to seconds.
Five Steps from Raw Access Event to Controlled Response
A deterministic, auditable workflow turns high-volume streaming authentication logs into high-confidence, reviewable investigations.
Connect Authentication & Audit Feeds
Stream real-time authentication events, directory changes, federated token exchanges, and API gateway logs from Microsoft Entra, Okta, Ping Identity, and cloud IAM audit trails.
Normalize Identities, Devices & Permissions
Standardize heterogeneous attributes into a unified identity graph. Resolve human identities, automated service accounts, device certificates, and nested security group hierarchies.
Analyze Behavior & Access Relationships
Execute four parallel domain models: evaluate temporal event sequences, graph relationship risk weights, and account-specific variational baselines to calculate compromise probability.
Investigate Related Signals in One Case
Synthesize disparate alerts across sessions into a unified chronological case file. Present analysts with the complete attack path, affected resources, and lateral blast radius.
Respond with Governed Analyst Approval
Recommend proportional containment (revoke session, enforce MFA, or restrict service account). Security personnel review the evidence and trigger remediation with a single click.
Service-Account Privilege Abuse & Lateral Access Contained
Four Domain Models, One Unified Detection Pipeline
Chromosight replaces rigid heuristic correlation rules with four specialized machine learning models purpose-built for enterprise identity graphs and temporal sequences.
IdentityGraph
Heterogeneous Graph Neural Network (GNN)Captures complex, multi-hop relationship graphs between accounts, devices, roles, and permissions to uncover high-risk privilege clusters and lateral attack paths.
AccessSequence
Temporal Transformer ArchitectureEvaluates chronological order and inter-event duration in authentication sequences, recognizing suspicious bursts and rapid privilege mutation patterns.
BehaviorTrace
Temporal Convolutional VAE (TCN-VAE)Constructs continuous, role-specific behavioral embeddings to detect subtle, out-of-distribution drift without generating high false-positive alert volumes.
SessionLink
Siamese Similarity NetworkCalculates behavioral similarity across distinct sessions and identity boundaries to reveal adversaries rotating credentials and leaping between accounts.
Planned Production Architecture
- • Engine: Python, PyTorch, CUDA Accelerated Training
- • Streaming Data: Distributed Event Ingestion & Analytical Graph Storage
- • Inference Engine: ONNX Runtime / TensorRT for sub-second scoring
Validation Data Target
Targeting 10 million permissioned and simulated access events with task-specific weights trained from random initialization and benchmarked against standard heuristics across independent customer timeframes.
Built for Complex Enterprise Identity Estates
Initial deployment profile targets organizations managing between 1,000 and 10,000 identities with an established identity provider and dedicated SOC defense personnel.
Financial Services & FinTech
High-value transaction systems, strict regulatory mandates (RBI, SOX), and zero tolerance for lateral identity privilege escalation.
SaaS & Cloud Platforms
Distributed microservices architectures managing thousands of automated tokens and workload identities vulnerable to credential exposure.
Manufacturing Groups
Complex hybrid environments combining legacy on-prem Active Directory forests with contemporary cloud identity providers.
Service-Account-Heavy Estates
Organizations where non-human machine-to-machine integrations outnumber human employees 3:1, requiring continuous relationship tracing.
Predictable Pricing That Scales With Protected Identities
Transparent recurring software model engineered for enterprise identity defense.
6–8-Week Design Partner Pilots
Chromosight is actively partnering with select enterprise security teams to benchmark model precision, quantify investigation time reduction, and streamline deployment.
Design Partner Cohort Goals
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✔
3 Dedicated Design Partners: Direct collaboration with our senior ML and platform engineering team at SINE, IIT Bombay.
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✔
6–8-Week Structured Pilot: Non-intrusive read-only telemetry ingestion with zero disruption to active business operations.
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✔
Adversary Simulation Testing: Test account takeover vectors, stealth privilege escalation, and lateral service-account hijacking.
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✔
Measurable KPI Validation: Prove precision, detection coverage, Mean Time to Investigate (MTTI), and effortless deployment overhead.
How Chromosight Proves Incremental Value
A specialized product must demonstrate distinct, measurable value over legacy and bundle options:
Twelve Months from Prototype to Paid Deployment
Foundation
First identity integration; ingestion and identity resolution; investigation timelines; rules baselines and attack datasets.
Pilot Phase
Prototype AccessSequence and BehaviorTrace; start 3 design-partner pilots; measure alert quality and investigation effort.
Expand
Prototype IdentityGraph and SessionLink; add a second integration; introduce approved response actions and access controls.
Commercialize
Target 2 pilot conversions and 5 total customers; benchmark inference cost and latency; independent security assessment.
Anchored in Research & Enterprise Execution
Headquartered in Mumbai, India, Chromosight Technologies combines rigorous artificial intelligence research with scalable distributed systems engineering.
"Advancing deep graph neural networks for enterprise identity defense."
Leadership Supported by Security & ML Execution
Engineering-driven leadership dedicated to advancing deep learning in production cybersecurity:
Babar Ali Khan
DirectorSecurity engineering integrations, threat research, and machine learning models for behavioral identity distributions.
Madhu Nayak
DirectorPlatform engineering, high-throughput multi-tenant telemetry ingestion, tenant isolation, and enterprise adoption.