Enter the Era of Agentic Security

Built for regulated enterprises, financial institutions, government environments, and SMBs with serious security and compliance needs.

Connect Your Stack in Minutes. Make it Agentic.

Platform MicrosoftPlatform FirewallCybersecurity Platform CloudCybersecurity Platform Endpoint

Threat Actors Are Gaining Access to Agentic Capabilities

Attackers operate at machine speed.
Defenders operate at human speed.

That gap isn’t a skills problem it’s a design problem.

When adversaries compress breach-to-exfiltration time to minutes, SOC teams averaging four-hour response windows face an unwinnable equation.

IndustryVoices

The Shift Has Begun

The future isn’t better detection. It’s autonomous prevention.

AI Risk Exposure

"The adoption of AI exposes companies to new risks that traditional cybersecurity solutions don’t address."

Kent Noyes, Global Head of AI & Cyber Innovation at Cisco

EDR/XDR Bypass

"MGM and Caesars, both of them were running EDRs that were subverted. These evasions typically work from one of three security weaknesses: vulnerable kernel drivers (unpatched known vulnerabilities); registry tampering; and userland API unhooking."

Jon Miller, CEO at Halcyon

Attack Surface

"Many CISOs still think of network breaches, malware, ransomware, credential theft. Those threats still exist. But when AI systems control critical infrastructure, the attack surface shifts entirely. You’re defending against someone crafting adversarial inputs which fool your AI models, embedding backdoors in algorithms."

Natalia Oropeza, Chief Cybersecurity Officer at Siemens

Attack Surface

"Just as phishing defined the email era, prompt injection is defining the AI era. Adversaries are embedding hidden instructions to override safeguards, hijack agents, steal data, and manipulate models - turning the AI interaction layer into the new attack surface and prompts into the new malware."

Elia Zaitsev, CTO at CrowdStrike

Static Defenses

"Attackers can now generate unique variants for each target: 100 different zero-day malware for 100 victims. This level of personalisation wasn’t feasible before. Now it’s possible at speed and that’s the game-changer."

Haider Pasha, Chief Security Officer EMEA & LATAM at Palo Alto Networks

EDR/XDR Bypass

"As threat actors become more adept at targeting and disabling EDR agents, relying solely on endpoint detection leaves critical blind spots. Network detection and response offers the visibility and resilience needed to catch what EDR can’t especially in environments with unmanaged devices or advanced threats that evade local controls."

Darktrace Security Research Team at Darktrace

CISA
AI Security Concerns

"As AI technology advances, new safety concerns and security threats are emerging at an unprecedented speed which existing security solutions are unprepared to protect against."

CISA Official Statement at CISA

Platform Consolidation

"You can’t plug every hole with a different product. You need to consolidate, integrate and move towards a platform-based approach: one that is natively intelligent, AI-powered and outcome-driven. Mid-to-large organisations run, on average, 83 security tools across 29 vendors. This is no longer sustainable."

Haider Pasha, Chief Security Officer EMEA & LATAM at Palo Alto Networks

AI-Driven Response

"In 2026, AI Detection and Response (AIDR) will become as essential as EDR, with organisations requiring real-time visibility into prompts, responses, agent actions, and tool calls to contain AI abuse before it spreads, ensuring AI drives innovation, not risk."

Elia Zaitsev, CTO at CrowdStrike

FBI
AI Enabling Threat Actors

"We assess AI will enable threat actors to develop increasingly powerful, sophisticated, customizable, and scalable capabilities and it won’t take them long to do it."

Christopher Wray, FBI Director at FBI

Security Operations Challenges

"Current solutions often rely on siloed tools, and manual processes are proving inadequate in addressing the complexity and scale of modern threats."

Palo Alto Networks Security Operations Report 2025 at Palo Alto Networks

Our Principles

Defense systems built for real threats.

The Principles Behind Our Autonomous Defense

1

Match Speed with Speed

Automated threats operate at machine pace. Our agents respond at the same velocity 24/7, zero human delay.

2

Win the Race to Containment

Intruders breach in minutes, expand for days. We isolate threats in real time .

3

Eliminate Blind Spots Across Your Environment

Identity, endpoint, cloud breaches span all three. One intelligence layer monitors every domain.

4

Evolve Faster Than the Threat

Static defenses become obsolete. We learn from every incident to stop tomorrow’s techniques .

AGENTICNATIVESYSTEMS

Top Level of Autonomous Systems

Inference Defense Systems

AutonomousCloudSecurity

Autonomous Cloud Security Management

AI agents continuously detecting misconfigurations, remediating threats, and maintaining compliance across AWS, Azure, and GCP in real time.

Misconfiguration
Data Exfiltration
Privileged Access
Vulnerability
Lateral Movement
Misconfiguration
Data Exfiltration
Privileged Access
Vulnerability
Lateral Movement
Misconfiguration
Data Exfiltration
Privileged Access
Vulnerability
Lateral Movement
Credential Abuse
Cloud Exposure
IAM Threat
Ransomware
Supply Chain Risk
Credential Abuse
Cloud Exposure
IAM Threat
Ransomware
Supply Chain Risk
Credential Abuse
Cloud Exposure
IAM Threat
Ransomware
Supply Chain Risk
Zero-Day Exploit
Insider Threat
API Abuse
Posture Drift
Data Breach
Zero-Day Exploit
Insider Threat
API Abuse
Posture Drift
Data Breach
Zero-Day Exploit
Insider Threat
API Abuse
Posture Drift
Data Breach
Misconfiguration
Data Exfiltration
Privileged Access
Vulnerability
Lateral Movement
Misconfiguration
Data Exfiltration
Privileged Access
Vulnerability
Lateral Movement
Misconfiguration
Data Exfiltration
Privileged Access
Vulnerability
Lateral Movement
Credential Abuse
Cloud Exposure
IAM Threat
Ransomware
Supply Chain Risk
Credential Abuse
Cloud Exposure
IAM Threat
Ransomware
Supply Chain Risk
Credential Abuse
Cloud Exposure
IAM Threat
Ransomware
Supply Chain Risk
Zero-Day Exploit
Insider Threat
API Abuse
Posture Drift
Data Breach
Zero-Day Exploit
Insider Threat
API Abuse
Posture Drift
Data Breach
Zero-Day Exploit
Insider Threat
API Abuse
Posture Drift
Data Breach

Autonomous Cloud Security Management

AI agents continuously monitor, assess, and enforce security across your entire cloud estate closing exposure gaps before attackers find them.

CLOUD SECURITY

Security Posture

Overall cloud security score and critical findings.

94/100Posture Score
3Critical Findings
1,247Assets Protected
Recent Findings
F-031S3 bucket with public read access
Critical
F-030IAM role with overprivileged policy
High
F-029Unencrypted EBS volume detected
Medium
Coverage by Provider
Amazon Web Services
96%
Microsoft Azure
93%
Google Cloud
91%

AgenticSOC

Autonomous Security Operation center

We apply an agentic approach that achieves total operational superiority over adversaries agents handle detection and response continuously while humans provide oversight and manage exceptions.

/var/log/adr-platform.log

AgenticPen Test

Autonomous offensive testing

We built an agentic, persistent adversary working for you finding exploitable weaknesses before real attackers can.

6*7A0^!HIETD@6XS749%2$4L4RO$SH*8W#6OPLLF%WSKVI^PTT1PJUOS60EQL$*K53*Y#AK5GDM6XIWX79XR^DQOMEJF$F1ZNL*L0Z&#LJ4B$E97Q76VF0U#HY!37J5$GKCI0RMK$2P1F9JJYGVR@IAHYPZALXQMJ!519!GZTQSA$#BEXUYPSZ302Z*&DDWW!NI61S#!MAHJ0Y&3J8*EBIMM$#X%46NJ0*9P3L@UW5A8NCZX&98CQ75NL9XEH11NBB^E&LQ1YPZALMJ3DSUXBS9*DADQ7ND0SCI#HY!37J5$GKKAUGDYE@#8CBDUFA9#3EYGVR@IAHZCUKIYPZALX#3EYZX&98CQ75NL9XJ4B$E97Q76VF0LKU8S5KVSD9$#BEX2Z9HSABIU#CSDK@SN!

Liam Parker

Autonomous Attack Simulation

AI agents attempt to breach your environment 24/7, chaining exploits the way real attackers do from initial access to critical asset compromise.

Realistic Exploitation Paths

No theoretical risks. We test actual attack chains: stolen credentials → lateral movement → privilege escalation → data exfiltration.

Instant Remediation Intelligence

Get exploitable paths ranked by severity and business impact, not a 200-page report. Fix what matters, validate the fix immediately.

Critical vulnerabilities detected

SQL Injection → Admin Panel

Blocked 2m ago

Exposed API Key → Database

Blocked 5m ago

XSS → Session Hijack

Blocked 8m ago

AgenticGRC

Autonomous GRC

We built an agentic compliance engine working for you delivering audit-ready evidence instantly instead of weeks of manual documentation.

  • Organizational Context & Scope
    in-progress
    • Asset Inventory & Classification
    • Stakeholder & Requirement Mapping
  • Risk Assessment (ISO 27001 §6.1)
    pending
  • Control Implementation (Annex A)
    pending
  • Audit & Certification Readiness
    pending

CoreSolutions

Solutions You Can Rely On

Enterprise-grade security solutions tailored to your needs.

Ransomware Prevention

Prevent, detect, and recover from ransomware attacks

Detection & Response

Detect, investigate, and contain active cyber-threats in real time

Cloud Compliance

Maintain secure configuration and regulatory compliance

Identity Governance

Prevent credential compromise and privilege misuse

End-to-end managed security operations and compliance

ResearchExcellence

We are committed to research

Prompt Injection in Agentic LLMs
AI Security
•8 min read

Prompt Injection in Agentic LLMs

An in-depth analysis of how prompt injection attacks target autonomous AI agents, exploit tool-calling pipelines, and bypass safety guardrails in multi-step agentic workflows.

By

Research Team

Published

Apr 8, 2026

Zero-Day Exploits in Cloud Environments
Cloud Security
•9 min read

Zero-Day Exploits in Cloud Environments

A comprehensive study of zero-day vulnerabilities targeting cloud-native infrastructure — from container escapes to serverless function abuse and misconfigured IAM privilege chains.

By

Research Team

Published

Feb 14, 2026

Supply Chain Attacks on AI Models
Threat Research
•11 min read

Supply Chain Attacks on AI Models

Investigating adversarial techniques used to poison training pipelines, backdoor open-source model weights, and compromise AI model registries in enterprise deployments.

By

Research Team

Published

Jan 20, 2026

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