CTI Without Context Is Just Noise — Meet Peris.ai Indra

Cyber Threat Intelligence (CTI) is often hailed as the cornerstone of proactive cyber defense. From IOC feeds and TTP mapping to actor profiling, CTI promises to deliver foresight and operational clarity. But in practice, most security teams find themselves overwhelmed—not empowered—by the volume and complexity of CTI.

Why? Because most CTI is delivered without context.

Without integration into detection workflows, alignment with business risk, or correlation with active threats, CTI becomes just another stream of data. For already overloaded SOC analysts and security teams, this isn’t just inefficient—it’s dangerous.

This article explores the core challenges of ineffective CTI programs, the urgent need for contextual intelligence, and how Peris.ai Indra transforms raw threat data into actionable insight—driving faster decisions, smarter automation, and stronger security outcomes.

The Problem: Intelligence Isn’t Actionable Without Context

1. Information Overload

Organizations often subscribe to multiple CTI feeds:

• Commercial threat providers
• Government or ISAC alerts
• Open-source IOC lists

The result? Tens of thousands of indicators flood into SIEMs and security dashboards daily—creating more confusion than clarity.

2. Lack of Prioritization

Most CTI feeds are not tailored to your business. They can’t:

• Identify which assets are critical to your operations
• Weigh threat relevance based on organizational risk
• Filter out IOCs already covered by existing controls

3. Disconnected Workflows

CTI often lives in isolation:

• Outside of SIEMs, SOAR platforms, and response tools
• Unavailable to analysts when alerts hit
• Unused in detection, triage, or remediation processes

4. Static Threat Reports

Threat briefs and PDF intel reports are:

• Outdated by the time they’re read
• Non-machine-readable, making automation impossible
• Siloed from the tools where detection happens

5. No Feedback Loops

Even when CTI is used, most platforms fail to:

• Track how intelligence is applied
• Update feeds based on SOC feedback or evolving threats
• Adapt scoring based on internal telemetry

Consequences of CTI Without Context

🚫 Missed Threats

• High-fidelity IOCs are ignored due to alert fatigue
• Lack of correlation causes adversary campaigns to go unnoticed

🔄 Wasted Resources

• Analysts spend hours triaging irrelevant data
• Security platforms process massive feeds that add little value

🕒 Slower Response Times

• Without clear attribution or context, IR teams struggle to reconstruct timelines
• Remediation steps become reactive and ambiguous

📉 Loss of Trust in Threat Intel

• SOC teams start to ignore CTI feeds
• Leadership questions the ROI of threat intelligence investment

What Context-Driven CTI Should Look Like

Effective CTI must be:

• Relevant to your industry, region, and infrastructure
• Timely, delivered in sync with alert triage and investigations
• Correlated with internal telemetry and user behavior
• Actionable, embedded in response workflows and decision points

Introducing Peris.ai Indra: Contextual CTI That Powers Decisions

Peris.ai Indra is not just another feed. It’s an intelligence correlation engine that transforms scattered data into decision-ready insight—right where it’s needed, when it’s needed.

Core Capabilities of Indra

1. Threat Actor and Campaign Correlation

• Maps IOCs to known threat actor profiles
• Tracks evolving TTPs across industries and geographies
• Supports attribution, proactive blocking, and red team simulation

2. Real-Time IOC Enrichment

• Integrates directly into SIEMs, EDRs, and SOAR platforms
• Enriches alerts with metadata: kill chain stage, source, frequency, risk level
• Flags prevalence and first seen/last seen timestamps

3. Confidence Scoring and Relevance Filtering

• Uses contextual scoring based on your industry, asset class, and telemetry
• Filters known false positives or low-impact indicators automatically

4. Alert and Playbook Integration

• Embeds threat intelligence directly into response workflows
• Enhances behavior-based detections with external intelligence
• Prioritizes alerts tied to active adversary campaigns

5. Analyst-Centric Feedback Loops

• Captures analyst interactions to improve scoring accuracy
• Allows for analyst-sourced IOCs and in-field threat sightings
• Continuously improves through usage-based learning

Real-World Use Case: Stopping a Targeted Phishing Campaign

Background: A regional financial services provider received a medium-severity alert for anomalous login behavior.

Indra’s Role:

• Correlated the login source with a Southeast Asia phishing campaign targeting digital banking platforms
• Elevated the alert severity based on active campaign data
• Delivered YARA rules and watchlists to endpoint protection systems
• Triggered automated workflows: locked the user account, alerted the IR team, and launched forensic logging

Outcome:

• Contained the threat in under 15 minutes
• Prevented potential credential compromise and downstream financial fraud

Pain Points Solved by Indra

Pain Point: Alert fatigue

• Indra suppresses irrelevant IOCs (Indicators of Compromise) and scores relevance per asset to reduce noise.

Pain Point: Workflow disconnects

• Indra feeds Cyber Threat Intelligence (CTI) directly into alerts and automated response workflows for seamless integration.

Pain Point: Poor prioritization

• Indra aligns threat indicators with active attack campaigns and threat actor profiles, enabling better prioritization.

Pain Point: Manual research burden

• Indra enriches alerts instantly with information about threat actors, their tactics, and contextual details.

Pain Point: Static threat feeds

• Indra pulls real-time updates from OSINT sources, the dark web, and analyst feedback to keep intelligence current.

Integration-First by Design

Indra was built to enhance—not replace—your existing stack:

• SIEMs (Splunk, Sentinel, Elastic) → Contextual alert enrichment
• EDR/NDR Platforms → Correlated threat actor TTP profiles
• SOAR Playbooks → Triggered actions based on matched campaigns
• Ticketing Systems → Pre-populated context and linked evidence

Intelligence Sources Used by Indra

• Commercial CTI partnerships
• Public threat feeds (CISA, CERTs, industry ISACs)
• Dark web forums and breach markets
• OSINT from Telegram, GitHub, forums, and paste sites
• Malware sandbox analysis
• Red team and deception telemetry from Peris.ai engagements

CTI as a Strategic Asset

When done right, CTI does more than inform detection. It adds value across:

• CISO Dashboards: Aligns threat landscape with enterprise risk exposure
• Board Reporting: Demonstrates actionable readiness and attacker awareness
• Compliance: Shows evidence of control decisions based on real threat data
• Red Teaming: Enables simulations of live adversary behavior

Getting Started with Indra

1. Connect Telemetry Sources: Start with SIEM and EDR data ingestion
2. Customize Threat Filters: Prioritize intel based on geography, sector, and critical assets
3. Push Context to Analysts: Display enriched intel directly in alert consoles
4. Map to Existing Playbooks: Define auto-response triggers for critical threat actor behavior
5. Train Your Teams: Embed CTI in threat hunting, incident response, and vulnerability prioritization

Metrics That Matter

Organizations using Indra report:

• 40–60% reduction in MTTD through prioritized detection
• Up to 75% fewer false-positive investigations
• Stronger SOC confidence and less burnout
• Improved executive trust in cyber risk reporting

Conclusion: Make Intelligence Work for You

Most security teams don’t suffer from a lack of data—they suffer from a lack of context.

Peris.ai Indra helps you turn threat intelligence into threat understanding. By connecting external campaigns to internal risk, enriching alerts, and feeding decisions across the stack, Indra makes CTI a real-time force multiplier—not a burden.

Intelligence is only powerful when it’s usable. With Indra, context becomes your strongest signal.

👉 Learn more at https://peris.ai/