Attack speed now outpaces manual response
Breakout times measured in minutes mean organizations need controls that can trigger automatic containment before human-led response fully forms.
Machine-speed containmentContinuously automated AI cyber defense
Validate whether your controls actually work under AI-driven attacks
Tiger Cybersecurity Systems design and operate advanced continuously automated AI-cyber defense systems for corporations and government agencies to test defenses against ever-changing AI-enabled intrusion, identity abuse, and public-facing application exploitation.
Tiger's advanced AI cybersecurity system works alongside an organization's current cybersecurity network so teams can validate existing controls without replacing core defenses.
Midyear 2026 report highlights
Tiger Cybersecurity 2026 Midyear Report
0%
Estimated increase in AI-enabled adversary operations in 1H2026 vs 1H2025.
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Average eCrime breakout time, with the fastest breakout in 28 seconds.
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Estimated increase in AI attacks beginning with exploitation of public-facing applications.
24/7
Continuous validation, monitoring, and automated containment logic.
Threat trends
AI is compressing attack timelines while expanding exposure
The Tiger Cybersecurity 2026 Midyear Report highlights faster AI-enabled intrusion, heavier reliance on compromised identities, sustained exploitation of internet-facing systems, and new risks from AI tools that can become both attack infrastructure and attack targets.
Identity abuse and exposed apps remain primary entry paths
AI is being weaponized for reconnaissance, credential theft, and evasion, while public-facing applications and remote access paths remain weak points across both corporate and public-sector environments.
Exposure reduction mattersGovernment systems face higher strategic pressure
Government agencies carry nation-state risk, contractor complexity, aging infrastructure, and a lower tolerance for downtime or data exposure.
Mission-critical resilienceTiger solutions
Advanced defense operations built to prove controls under live pressure
Tiger focuses on continuously automated cyber defense systems that validate whether current protections actually hold up across endpoints, SaaS, cloud, internal AI tools, and public-facing applications under AI-driven attack conditions. Its advanced AI cybersecurity system, Nolan, is designed to work alongside an organization's current cybersecurity network, adding continuous validation and operational insight across the environment.
How Tiger operates
Continuously validates security controls against fast-moving AI-assisted intrusion patterns.
Tests whether containment, segmentation, identity protections, and monitoring work before attackers exploit gaps.
Supports corporations and government agencies that need evidence that network defenses perform across hybrid and legacy environments.
Helps security teams focus on phishing-resistant authentication, privilege control, patch validation, AI environment governance, and emergency isolation playbooks.
Once Tiger identifies network vulnerabilities at an organization, it recommends and administers a remediation plan aligned to the organization's environment and priorities.
Validated coverage areas
- Internet-facing applications, edge devices, and remote administration paths.
- Employees, administrators, contractors, vendors, and service accounts.
- AI evaluation environments, data pipelines, connectors, package paths, and egress controls.
Design and operate systems that prove whether controls actually work under ever changing AI-driven attacks.
Tiger Cybersecurity Systems — operating principle
2H2026 Cybersecurity Priorities
Where organizations should harden next
The Tiger Cybersecurity 2026 Midyear Report points to a short list of practical moves: harden identities, reduce external exposure, secure AI environments, improve containment speed, and strengthen public-sector resilience.
Harden identities
- Why it matters
- Attackers increasingly move through trusted identities rather than obvious malware.
- Practical move
- Deploy phishing-resistant MFA, privileged access controls, and session analytics.
Reduce external exposure
- Why it matters
- Public-facing exploitation is rising across enterprise and government networks.
- Practical move
- Audit internet-facing assets, patch edge systems quickly, and remove unnecessary remote services.
Secure AI environments
- Why it matters
- AI testing and tooling can become active intrusion platforms without strong containment.
- Practical move
- Lock down model sandboxes, package paths, egress, secrets, and third-party connectors.
Improve containment speed
- Why it matters
- Breakout times are measured in minutes, not hours.
- Practical move
- Automate host isolation, account disablement, and emergency segmentation for high-confidence detections.
Strengthen public-sector resilience
- Why it matters
- Government systems face nation-state pressure, third-party risk, and infrastructure exploitation.
- Practical move
- Focus on patch validation, contractor reviews, immutable logs, and crisis-tested interagency response plans.
Pricing plans
Flexible engagements for organizations that need proof, not assumptions.
Tiger engagements start with continuous validation coverage and expand into broader operational support for complex enterprise and government environments.
Starting point
Continuous validation plan
$2,000/mo
Engagements start at $2,000 per month, scoped to your environment.
- Continuously automated cyber defense validation.
- Coverage across endpoints, SaaS, cloud, public-facing systems, and AI workflows.
- Executive reporting on control performance under evolving AI-driven attacks.
Scoped engagement
Enterprise and agency expansion
For larger environments, Tiger scopes expanded automation, more data coverage, multi-team coordination, and mission-specific operating requirements.
- Higher-volume data scanning and broader environment coverage.
- Support for contractors, regulated systems, and distributed agencies.
- Tailored response playbooks and validation cycles for critical assets.
What Tiger addresses
Focused on the failure points attackers exploit most
The Tiger Cybersecurity 2026 Midyear Report identifies 3 recurring exposure patterns: weakly protected public-facing applications, compromised or overprivileged identities, and AI systems with excessive permissions or poorly governed connectivity.
Public-facing exposure
Rapid patch validation and reduction of unnecessary internet-facing services.
Identity and privilege risk
Stronger access controls, contractor governance, and behavior-based monitoring for unusual credential use.
AI environment security
Tighter controls over package installation, secrets access, egress, plugins, and lateral movement paths.
Contact Tiger
Speak with the AI Cyber Defense team
Use the form to request a briefing, pricing discussion, or technical review for your corporate or government environment.
Ideal corporate & government agency profile
Security leaders who need continuous evidence that current controls hold up against fast-changing AI-driven attacks.
Working model
Runs alongside the cybersecurity network you already operate — no rip and replace.
This demonstration form stores no data in-browser and is ready to connect to Tiger's preferred CRM or email workflow.