ANTIAI
P-03 / AI TRUST & THREAT INTELLIGENCE PLATFORM

Protecting organizations from tomorrow’s threats, at the speed they actually arrive.

AI is changing how attacks are created, automated, and scaled. ANTITODE closes the gap between attacker execution speed and defender response speed — detection in under 1ms, response in under 500ms.

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Detect, predict, and neutralize AI-generated threats before they impact your infrastructure.

<1<5S

<1ms detection · <500ms response · Seconds to policy generation

ANTITODE intelligence● Live
Scan endpoints, APIs, and agents
THREATSOURCESTATUS
Kernel InjectionHigh Severity192.168.1.1Unknown OriginBlocked
Prompt ExfiltrationCritical SeverityAPI GatewayUS-EastBlocked
Rogue Agent Spin-upMedium SeverityInternal Subnet10.0.0.45Mitigated

01—THE PROBLEM

Your SIEM was built for a threat
model that no longer exists.

AI-generated threats carry no fixed signature to match. Autonomous attack agents move in seconds while median incident response is still measured in hours. Every internal LLM agent and copilot is an undefended attack surface.

The Closed Loop

Continuous, autonomous threat response

ANTITODE operates on a 5-stage closed loop: Observe → Detect → Predict → Decide → Respond. Continuous kernel-level telemetry feeds real-time behavioural classification, causal attack-path modelling, autonomous policy generation, and sub-500ms response.

Closed Loop Engine
ANTITODE Closed Loop Architecture
5-Stage PipelineSub-millisecond detection latency.
Temporal attack-path● Live
Predicting next-step anomalies
Attack-path modelling detected lateral movement from 10.0.0.45 toward the API gateway.
Autonomous policy deployed: quarantine subnet, rotate credentials, escalate to SOC.
Autonomous Policy Synthesis

Respond in under 500ms.

RLSF-trained LLM generates deployable firewall rules and quarantine procedures in seconds. Multi-agent BFT consensus across four AI agents before any action executes.

Federated Endpoint Intelligence

Raw telemetry never leaves the host.

Hybrid CNN+LSTM with federated learning and differential privacy. The mechanism that unlocks financial services, healthcare, and government deployments.

DP
PRIVACY LAYER

Differential Privacy

Federated learning · ε-DP guarantees

TLS 1.3 · mTLS · AES-256

03—SEVEN AI COMPONENTS — ONE EVENT BUS

Unified intelligence, without integration gaps

Assembling equivalent coverage from point solutions means four contracts, four integrations, four intelligence gaps. In ANTITODE, all seven components share one Kafka event bus and one Neo4j knowledge graph.

Component Architecture● Live
ANTITODE 7 Components Architecture

04—WHAT ANTITODE SOLVES

Precision defense for
modern architectures.

F01

Endpoint threats that bypass perimeter security — kernel-level eBPF/ETW telemetry classifies lateral movement within milliseconds.

E
Endpoint ThreatsKernel-level detection
F02

AI-powered spear phishing and social engineering — analysed at the behavioural-signal layer, not the content layer.

S
Spear PhishingBehavioural analysis
F03

Prompt injection and rogue AI agent behaviour — monitored at the model-invocation layer, enforced at execution time.

P
Prompt InjectionModel-layer enforcement
F04

Attack-path progression and lateral movement — the causal graph flags the most probable next step before it executes.

L
Lateral MovementCausal graph prediction
F05

Pre-disclosure vulnerability exposure — 90-day exposure scored per asset against its real dependency graph.

V
Vulnerability Forecasting90-day forward risk
F06

Slow manual incident response — closed to under 500ms end-to-end, with configurable human-review gates.

R
Response Speed<500ms end-to-end

05—COMPETITIVE MATRIX

The only AI trust
control layer.

Full-spectrum AI-native security — not a point solution.

CAPABILITYANTITODELakeraProtect AICrowdStrikePalo AltoDarktrace
Kernel-level behavioural detection✓——◑◑✓
AI-powered spear-phishing detection✓——◑◑—
Prompt injection / rogue-agent monitoring✓✓◑———
Temporal attack-path prediction✓————◑
Pre-disclosure vulnerability forecasting✓—◑◑——
Autonomous policy synthesis (RLSF)✓—————
BFT multi-agent response consensus✓—————
Federated endpoint learning + DP✓—————
Operates as an AI trust control layer✓————✓

06—SECURITY & COMPLIANCE

Built for regulated
enterprise environments.

Cloud-native

K8s / Istio service mesh

ANTITODE/deployment
  • TLS 1.3 externally
  • mTLS internal services
  • GDPR & SOC 2 Type II
  • Tamper-evident audit logs
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RECOMMENDED

Hybrid

Multi-tenant deployment

ANTITODE/deployment
  • All Cloud-native features
  • AES-256 at rest
  • HashiCorp Vault KMS
  • ISO 27001 & DPDP (India)
  • Additive to SIEM/XDR
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Additive to your SIEM/XDR — no rip-and-replace.

Securing the AI era,
one threat at a time.

Help make AI security proactive, fast, and accessible for every enterprise.

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Threat Intelligence

The ANTI AI journal:
notes on AI security.

Research · June 2026

Why signature-based detection fails against AI threats

Architecture · June 2026

Inside the ANTITODE closed-loop threat engine

Compliance · June 2026

Federated learning and the future of endpoint privacy

Questions?

Build a more secure
digital world.

Learn how ANTITODE protects your infrastructure, endpoints, and AI systems from next-generation threats.