PREEMPTIVE AUTONOMOUS DEFENSE
Use AI to cut through noise, protect AI systems, and stop AI-powered attacks across cloud, SaaS, identity, and AI
AI CHANGED THE ATTACK SURFACE
AI now authenticates, collects, aggregates, and takes action across business systems – dramatically expanding your attack surface. Attackers are using AI to speed up reconnaissance, phishing, credential abuse, and cloud-speed attacks. In the meantime, security teams are having trouble putting together incomplete answers from too many tools, consoles, and data sources.
Helios AIDR gives your SOC a continuous, real-time model for AI-powered panoramic awareness, attack decoding, and containment – built for cloud-first, SaaS-heavy, identity-driven, and AI-connected environments.
ONE AIDR MODEL
AI Detection and Response (AIDR) is an operating model for modern security operations. Combined with Mitiga’s AI-native cloud detection and response (CDR) platform, Helios harnesses AI to improve how teams detect, investigate, prioritize, and contain threats across cloud, SaaS, identity, and AI environments.
Helios AIDR, an extension of Zero Impact Cloud Detection and Response (CDR), is grounded in full-fidelity data, designed for real-time defense, and capable of supporting both analyst-driven and increasingly autonomous operations.
Mitiga’s Helios AIDR is based on three connected imperatives that define modern cloud security operations.
Use AI to reduce alert noise, accelerate triage, shorten time-to-understanding, and improve incident decision quality.
Treat AI systems, agents, service identities, and AI-connected SaaS services as first-class assets in real-time defense.
Detect and contain AI-powered attacks that scale reconnaissance, credential abuse, and cloud-speed intrusion campaigns.
ONE CONTINUOUS PLATFORM
Step 01
Correlate related alerts and forensic events into a single, always-on incident view across your full cloud environment.
Step 02
Move from analysis to action with AI-informed remediation guidance, response actions, and tighter control over the blast radius.
Step 03
Use AI Triage to turn raw evidence into a structured analysis, timeline, and verdict that explains what happened and why it matters.
Your team stops chasing disconnected detections and starts operating from one coherent, contextualized attack story and timeline.
BAD DATA BREAKS AI
Most security AI fails in the same place: the data layer. Raw, incomplete, low-context logs create weaker prioritization, slower investigations, and noisier outcomes.
Helios AIDR runs on Mitiga’s Cloud Security Data Lake – a full-fidelity, investigation-ready data foundation that pre-processes, normalizes, enriches, and contextualizes telemetry across cloud, SaaS, identity, and AI. That gives analysts and AI systems the same thing they both need: context.
PURPOSE-BUILT AI RESOURCES
Helios AIDR embeds AI-powered defense across the actual CDR bottlenecks.
REAL AI
Helios AIDR improves the speed, clarity, and economics of CDR.
improved detection & response speed
fewer false positives needing review
faster time to close out alerts
Helios AIDR goes beyond better detection quality. It changes the economics of the SOC with reduced manual stitching, improved trigger quality, and lowered operational cost of AI and SIEM-heavy workflows.
USE CASES
Use AI to make cloud detection and response materially better. Helios AIDR reduces noise, accelerates triage, improves prioritization, and helps the SOC operate with more leverage across cloud, SaaS, identity, and AI.
Protect AI infrastructure, AI agents, AI service identities, and AI-connected SaaS services with the same real-time defense fabric used across the rest of your environment. Monitor trust relationships, access paths, and misuse before blast radius widens.
Counter attackers using AI to accelerate reconnaissance, credential abuse, phishing, and cloud-speed attacks. Helios AIDR helps your SOC detect AI-scaled attack patterns and shorten the path from confirmation to containment.
Defend with AI
- Faster triage, cleaner prioritization, and shorter paths from signal to verdict
- AI-assisted playbooks and investigation flows that scale beyond human-only workflows
- A stronger foundation for the Agentic SOC and future autonomous operations
Defend Your AI
- Visibility into Al service identities, trust relationships, and access paths
- Correlation of Al activity with cloud, SaaS, and identity evidence in one incident model
- Faster containment of Al misuse, misconfiguration, or active compromise before impact spreads
Defend from AI
- Detection of Al-scaled attack patterns that move faster than manual workflows can absorb
- Machine-speed prioritization that reduces noise and avoids automation of confusion
- Faster, more controlled containment as Al-enabled speed attacks compress the path
from exploit to impact
- A practical Zero-Impact operating model for defending cloud, Saas, identity, and Al as attacker
automation accelerates
BUILT FOR THE TEAMS
Drive a Zero-Impact operating model across cloud, SaaS, identity, and AI with stronger visibility, faster decisions, and better breach outcomes.
Reduce analyst drag, shorten investigations, improve triage consistency, and move from alert to containment with less manual stitching.
Give AI and humans the same investigation-grade substrate: normalized telemetry, contextualized signals, and a defensible architecture for real-time response.
