Intelligent machine agents are transforming cyber defense.

Attackers have levelled up, moving faster and expanding their target lists.

The attack surface being defended now includes intelligent machine agents.

Insider threats come from both humans and intelligent machine agents.

Intelligent machine agents benefit attackers more, due to data processing assymmetry.

Attackers have the initiative, and defenders must process multiple order of magnitude more data.

Not only is human reaction too slow, agentic reaction is too slow to prevent breakout.

How to level up the defense?

The network is the high ground and must be dominated. Only the defender can sniff all the packets.

Increase speed of intervention with decisioning based on risk and strength of evidence.

Machine learning for the most rapid response and most limited mitigations.

Artificial intelligence for additional analysis and stronger mitigations.

Super intelligence for reasoning across the entire enterprise.

Introducing the Nodal Technologies Cyberbrain

Network probe:
  single rust executable
  processes only packet headers
  can handle 500k packets/second on a single core
  at least 1000x reduction between sensed and transmitted data amounts
  highly efficient edge ML model for condensing network conversations
  custom detection models can be pushed down

Correlation brain:
  single rust executable
  realtime processing engine correlating many live event feeds
  ingests network probe feeds as well as feeds from other tools such as EDR
  transformer ml model for detecting network conversation chains
  realtime rules engine for detecting behaviors across devices, identities, and time
  rules engine DSL was made for the use of super intelligence to generate rules
  policy deviation detection and enforcement
  low-latency local mitigation decisioning
  at least 100x reduction between ingested and transmitted data amounts
  manages communication with mitigation capabilities

Analysis ghost:
  Node application with react UI, REST API, and webhooks out
  MCP Server, MCP Client, A2A
  Integrates with LLMs of customer's choice
  Monthly budget LLM cost control with risk-based prioritization
  Integrates with threat intelligence, investigation tools, etc.
  Assembles attack graphs across the entire enterprise
  Provides evidence to Super Intelligence
  Gives guardrailed mitigation options to Super Intelligence
  Provides comprehensive situation awareness and policy control to SOC

Probe and brain are embeddable

Highly composable and integratable architecture

Multiple levels of decisioning combined into one distributed intelligence