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Articles

Blind Spots Are Breach Points: Expose Them with Peris.ai BimaRed

May 16, 2025
Blind spots aren't just gaps in your network map—they are direct breach points for threat actors who move faster and more creatively than ever before.

In cybersecurity, visibility is everything. Yet even the most well-equipped enterprises are plagued by blind spots—hidden assets, unmanaged endpoints, forgotten cloud workloads, misconfigured APIs, expired certificates, and vulnerable systems that quietly expand the attack surface without detection. These are not theoretical risks. They are real, exploited, and often responsible for the breaches we hear about every day.

Blind spots aren't just gaps in your network map—they are direct breach points for threat actors who move faster and more creatively than ever before.

This article explores the systemic challenges enterprises face in maintaining a complete view of their digital footprint. It focuses on how missing or outdated asset intelligence creates exploitable weaknesses and shows how Peris.ai’s BimaRed solution delivers continuous, real-world Attack Surface Management (ASM) to expose what others miss. Through technical insights, use cases, and best practices, we help you move from reactive to proactive, from guesswork to certainty.

The Pain of the Unknown: What Blind Spots Really Cost

1. Unmanaged Assets

From abandoned test servers and forgotten subdomains to shadow IT cloud deployments, unmanaged assets pose significant risks. These systems:

  • Are often unpatched or running outdated software
  • Lack logging and access controls
  • May expose ports, credentials, or APIs
  • Remain invisible to traditional monitoring tools

2. Forgotten Web Infrastructure

Organizations increasingly rely on hundreds of microservices and subdomains. If a developer spins up a staging environment and fails to decommission it, that endpoint can linger online—unguarded and vulnerable. Attackers find these exposures faster than internal teams can map them.

3. Cloud Complexity

Cloud-native environments make asset tracking exponentially harder. Instances spin up and down, IP addresses change, and access misconfigurations (e.g., open S3 buckets, exposed Kubernetes dashboards) become entry points. Without cloud-aware discovery, blind spots multiply with each deployment.

4. Asset Inconsistency

It’s not just about missing assets; it’s about inconsistent views between Security, IT, DevOps, and GRC. This misalignment leads to conflicting assumptions, unassigned ownership, and dangerous gaps in protection.

Real-World Impact: Breaches Born from Blind Spots

Case Study 1: The Forgotten Subdomain A global logistics provider suffered a data breach through a staging subdomain left active after a site migration. It hosted a vulnerable Drupal instance without authentication and was exploited within days by a ransomware group.

Case Study 2: The Misconfigured Cloud Bucket An e-commerce company leaked millions of customer records due to a publicly accessible S3 bucket. It had been created by a contractor and never reviewed or integrated into corporate security workflows.

Case Study 3: Shadow IT VPN Appliance A manufacturing firm was compromised through a temporary VPN appliance deployed during COVID-19. The device had default credentials, was internet-exposed, and never registered in the company’s CMDB.

Why Traditional Tools Miss the Mark

1. Point-in-Time Scanning

Quarterly or monthly scans are outdated by the time they complete. Assets and vulnerabilities evolve daily, but traditional tools don’t account for this dynamic environment.

2. Limited Asset Scope

Legacy scanners rely on static IP ranges and known DNS entries. Assets outside that—like temporary servers, shadow domains, or unmanaged CDNs—are invisible.

3. Lack of External Perspective

Internal tools only look inward. Attackers start from the outside. Without an attacker’s perspective, organizations miss what’s visible and exploitable.

4. No Cloud or Container Context

Traditional tools don’t understand ephemeral cloud instances, container orchestrators, or cloud-specific risks like public IAM roles or insecure object storage configurations.

Introducing BimaRed: Continuous ASM to Reveal the Unseen

BimaRed by Peris.ai is a modern Attack Surface Management platform built for today’s attack landscape. It:

  • Continuously maps your external-facing digital footprint
  • Detects risky exposures, misconfigurations, and shadow assets
  • Prioritizes findings using business context and exploitability
  • Simulates attacker reconnaissance and maps breach paths

Where traditional tools stop at knowns, BimaRed finds what you don’t know exists.

Key Features That Eliminate Blind Spots

1. Continuous Discovery Engine

  • Leverages DNS scraping, certificate transparency logs, OSINT, and service fingerprinting
  • Discovers unknown subdomains, unmanaged IPs, and rogue cloud assets
  • Monitors for changes 24/7

2. Asset Attribution and Classification

  • Uses machine learning and metadata to correlate assets to your organization
  • Tags assets by environment (production, staging), platform (AWS, Azure), and ownership

3. Risk-Based Exposure Prioritization

Flags assets based on:

  • Known CVEs and exploit maturity
  • Misconfigurations and open services
  • Business criticality and asset function
  • Real-time threat intelligence from INDRA

4. Adversary Emulation

  • Simulates attacker reconnaissance techniques to model how threat actors see and exploit your perimeter

5. Visual Mapping and Reporting

  • Interactive maps of exposed assets and attack paths
  • Shared dashboards for Security, GRC, and DevOps

How BimaRed Works in Your Environment

Step 1: Passive Recon & Discovery Scans DNS records, SSL certs, and third-party dependencies across cloud and internet-facing systems.

Step 2: Asset Enrichment Correlates WHOIS, CDN headers, and metadata to determine ownership and exposure levels.

Step 3: Security Posture Assessment Cross-references versions, ports, and configurations against known vulnerabilities and threat actor interest.

Step 4: Prioritized Risk Output Ranks assets by risk level and ties them to remediation workflows via integrations with tools like Jira or ServiceNow.

BimaRed vs. Traditional Scanning: Key Differentiators

Asset Discovery

  • Traditional Scanners: IP-based, periodic scanning
  • BimaRed ASM: Continuous discovery using OSINT, DNS, certificate data, and cloud insights

Visibility

  • Traditional Scanners: Limited to known internal assets
  • BimaRed ASM: Includes both known and unknown external digital footprints

Cloud Awareness

  • Traditional Scanners: Limited cloud integration
  • BimaRed ASM: Native support for AWS, Azure, GCP, and containerized environments

Risk Prioritization

  • Traditional Scanners: Based solely on CVSS scores
  • BimaRed ASM: Combines CVSS with threat intelligence and business context

Attack Simulation

  • Traditional Scanners: Not available
  • BimaRed ASM: Yes, includes attacker emulation capabilities

Ownership Attribution

  • Traditional Scanners: Requires manual asset tagging
  • BimaRed ASM: Uses AI for automated asset classification and attribution

Benefits Across the Organization

For CISOs

  • Demonstrate proactive security posture
  • Reduce MTTRI (Mean Time to Risk Identification)
  • Support board-level investment with evidence

For SOC Analysts

  • Contextualized, high-confidence alerts
  • Enriched asset telemetry within SIEM workflows

For DevSecOps

  • Shift-left visibility on cloud exposures
  • Integrate into CI/CD pipelines for real-time risk checks

For GRC Teams

  • Automate asset inventory for compliance
  • Align with ISO 27001, CIS Controls, and NIST CSF

Recommendations for Getting Started

  1. Prioritize External-Facing Assets Begin with systems exposed to the internet—where breach probability is highest.
  2. Integrate ASM into Existing Workflows Feed BimaRed output into vulnerability and incident response tools.
  3. Define Asset Ownership Tag every asset with owner, environment, and business function.
  4. Report Exposure Trends Quarterly Track reductions in unknown assets and tie improvements to risk reduction.
  5. Use Adversary Emulation Regularly simulate how attackers see your infrastructure using BimaRed’s external recon models.

Conclusion: You Can’t Patch What You Can’t See

Every breach report tells a familiar story: a forgotten system, an unmanaged endpoint, an unmonitored exposure. In an era of accelerated digital transformation, visibility gaps are no longer tolerable.

BimaRed by Peris.ai turns blind spots into managed risks—providing continuous, contextual insight into what’s exposed and what’s exploitable.

Blind spots are breach points. BimaRed exposes them before attackers do.

👉 Explore BimaRed at https://peris.ai

There are only 2 type of companies:
Those that have been hacked, and
those who don't yet know they have been hacked.
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