AI agents are accessing your data. Who’s watching?
An S3 breach can look like a legitimate role making a normal API call — until it’s too late. Entroptics Shield learns the rhythm of your data to catch the “low-and-slow” exfiltration rules miss.
Real-time S3 anomaly detection. Know what’s happening in your AWS buckets — before someone else does.
Exfiltration, lateral movement, velocity, identity anomalies, and more — with FileDNA object context
CloudTrail-native streaming — not batch processing hours later
AI agents, Lambda functions, and service accounts baselined and monitored independently
Per-prefix, per-role, per-identity type, per-file — each one narrows what counts as normal
Inside the product
See how Entroptics Shield detects a behavioral anomaly, surfaces root cause analysis, and routes an alert to your team. Explore the dashboard, alert triage, and investigation workspace below.
Security overview
Bring alert trends, severity, baseline coverage, and actor risk into a single operational view.
Alert triage
Move from a suspicious event to the identity, resources, and behavioral signals that explain why it was raised.
Investigation
Reconstruct the sequence of events and preserve the context your team needs for response, reporting, and post-mortems.
How it works
Connect your CloudTrail, wait for baselines to build, start seeing anomalies. Most teams have their first insight within hours.
One integration. No agents to install, no code changes. Entroptics Shield reads your S3 activity stream and starts learning immediately.
Within hours, every prefix, role, and file has a behavioral model. Your environment defines what's normal — not a generic ruleset.
14 detectors score every S3 event against its baseline. Velocity spikes, new actors, lateral movement, exfiltration patterns — scored and ranked by severity.
Every alert comes with a timeline, root cause trace, and detector breakdown. Escalate to a full incident when needed — SLA tracking, evidence collection, post-mortem.
Features
Detection is the hard part — we built 14 parallel detectors to get it right. Everything else your team needs to investigate, respond, and report is here too.
Your environment defines the rules. We learn the "rhythm" of your data down to the file level so you never have to write a regex again.
Most tools flag everything "unusual" (Noise). We use Noisy-OR Signal Fusion across 14 detectors to distinguish between a busy developer and a credential theft in progress.
Every S3 object builds its own access fingerprint. First-time access to a file triggers instantly — not buried in prefix-level averages where low-and-slow exfiltration hides.
We don't treat a Lambda function like a human. Entroptics Shield understands the unique physics of Non-Human Identities (NHIs), reducing false positives by 90% in dynamic CI/CD environments.
Every alert links to a timeline, sequence flow, and automated root cause trace. See the full chain of events — who accessed what, when, and what changed.
Detection through post-mortem in one place. SLA tracking, response checklists, evidence collection. Push to Jira when you need to.
Your AI agents (Torq, Dropzone, Claude) use our MCP Server to do the 30 minutes of investigation work in 300 milliseconds. Agents build the investigation packet; you just pull the trigger
Generate PDF reports on demand or on schedule. Pre-built templates for compliance reviews. CSV export for everything else.
Three global presets — Strict, Balanced, Relaxed — or dial each detector individually. Suppression rules and maintenance windows keep noise out of your queue.
Alerts ship in OCSF Detection Finding format. Splunk, Cribl, Security Hub consume them natively. EventBridge routes them to automated remediation. Full REST API with M2M auth.
Why Entroptics Shield
Signature tools handle known threats. Shield looks for the behavioral anomalies that don’t match a signature. The two approaches provide complementary coverage.
Comparing behavioral detection with signature-only detection. Individual security products may combine both approaches.
| Capability | Entroptics Shield | Signature-only detection |
|---|---|---|
| Detection | ||
| Approach | Behavioral — learns what's normal, flags what isn't | Signature — matches known threat patterns |
| Novel threats | Flags access patterns never seen before | Limited to known attack signatures |
| False positive rate | Tuned to your environment's actual patterns | Generic thresholds across all accounts |
| Intelligence | ||
| Baseline granularity | Per prefix · per role · per file | Account-level or bucket-level |
| File intelligence | FileDNA fingerprint per object | No per-object behavioral context |
| Timing awareness | Velocity and timing encoded per event | Count-based thresholds |
| Operations | ||
| Investigation | Root cause, sequence diagrams, timeline | Alert with severity label |
| Incident management | Built-in lifecycle with post-mortem | Separate SOAR/ticketing tool needed |
| Compliance reporting | On-demand PDF reports | Manual data export and formatting |
| Workflow | ||
| Known signatures | Not signature-based — complementary | Strong threat intel coverage |
| Time to value | First insights within hours | Rules need authoring and tuning |
| Ongoing maintenance | Baselines adapt automatically | Rules need manual updates |
| AI & NHI | ||
| Identity classification | Separate baselines: human, service, Lambda, AI agent | No identity-type distinction |
| NHI detection | Deviation flagged in under a minute | No role-level behavioral baseline |
| Output format | OCSF · Security Hub · EventBridge · REST API | Depends on the tool and its integrations |
Fits your security operations
Alerts ship in OCSF Detection Finding format (Event Class 2004), with MITRE ATT&CK mappings, detector-level evidence, and full actor/resource context. Security Hub, Splunk, Cribl, and Security Lake consume the findings. EventBridge routes them to automated remediation; the REST API includes M2M authentication.
Shield analyzes who accessed what, when, and from where through CloudTrail. It does not read, store, or transmit your S3 object contents.
High-impact actions require human approval. All actions are audit-tracked and rate-limited. Tenant isolation is enforced — one tenant’s agent cannot see or act on another tenant’s data. Enterprise-grade encryption and audit-ready logging support your security operations.
Enterprise plans include MCP and A2A integration. AI security tools such as Torq, Dropzone, and Claude can query detection data, investigate findings, and trigger response workflows using the same evidence your analysts see. Agents build the investigation packet; your team approves consequential actions.
Shield plans
Every plan includes all 14 detectors. Early access spots are limited. Save 10% with annual billing.
$0
forever
$449
per month
$399/mo billed annually
$999
per month
$899/mo billed annually
Custom
tailored to your scale
We never drop your events. If you exceed your plan’s daily limit, detection continues — we’ll notify you and give you 7 days to adjust.
Early access is limited — 10 new teams approved per week.
Already invited to early access?
14 detectors run in parallel on S3 events. Each one builds a behavioral model at a different layer — prefix, role, identity type, and individual file. When access deviates from what’s been learned, detectors score the event and an ensemble method surfaces the anomaly.
Shield focuses on the access patterns of your S3 roles, prefixes, and objects. GuardDuty provides broader AWS threat detection, including its own anomaly and threat-intelligence signals. The products can be used together for complementary context.
No. Detection is the core, but you also get alert triage, investigation with root cause analysis, incident management with post-mortems, entity risk scoring, compliance reports, and integrations with Slack, PagerDuty, Jira, and webhooks.
No. Shield analyzes access metadata from CloudTrail — who accessed what, when, and from where. It does not read S3 object contents.
One CloudTrail integration. Baselines start building immediately and mature over 24–48 hours depending on your activity volume.
Alerts output in OCSF format, so Security Hub, Splunk, and Cribl consume them natively. EventBridge support for automated remediation. Slack, PagerDuty, Jira, webhooks, and a REST API with M2M auth for everything else.
Enterprise plans include MCP and A2A integration. Your AI security tools can query detection data, investigate findings, and trigger response workflows — using the same evidence your analysts see.
High-impact actions require human approval. All actions are audit-tracked and rate-limited. Tenant isolation is enforced — one tenant's agent cannot see or act on another tenant's data.
Yes. Every IAM principal is classified by identity type — human, service account, Lambda, CI/CD, AI agent. Each type gets its own behavioral baseline. A compromised LLM pipeline or rogue Lambda is flagged within a minute of deviating from its learned pattern.
OCSF Detection Finding format (Event Class 2004). Findings include MITRE ATT&CK mappings, detector-level evidence, and full actor/resource context. Consumable by Security Hub, Splunk, Cribl, and Security Lake without transformation.
We're in early access — 10 new teams per week. Join the waitlist for Free, request early access for Team, or book a demo for Business and Enterprise. We respond within 1 business day.
Entropy + Optics. We measure the disorder in your access patterns and give you the lens to see what matters. When entropy spikes, something unusual is happening.
